| Accepted Posters and Demos @ ISWC 2009 |
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| Mark Hefke | - | FZI Forschungszentrum Informatik | |
| Andreas Abecker | - | FZI Forschungszentrum Informatik |
Leadsto is a prototypical Semantic Portal for collaboratively describing statements of the form “x leads to y” (e.g. “accident leads to traffic jam”). Existing elements of statements (precedents, antecedents) can be linked with each other, and completely new elements can be created. Individual statements can be created and the set of stored statements further extended and developed collaboratively on the Web by humans; in addition, automated approaches for extracting further statements from any web page are employed. The constantly growing net-like structure can be searched and navigated. The major benefit of the system is to automatically discover and make available causal chains of the form “x leads to y “,” y leads to z “, etc. (as well as the reverse direction). In this way, not yet known facts as well as their provenance can be collaboratively discovered by the wisdom of a crowd.
| Zhixiong Zhang | - | Chinese Academy of Sciences | |
| Ying Ding | - | Indiana University | |
| Na Hong | - | Chinese Academy of Sciences |
Research profiling is a widely-adopted method to monitor research development and rank research performance. This paper describes a novel infrastructure to generate semantic-powered research profiling for research fields, organizations and individuals. It crawls related websites and news feeds, extracts research terms, research objects and relations from them and uses the proposed Research Ontology to model them into RDF triples to facilitate semantic queries and semantic mining on burst detection, hot topic detection, dynamics of research, and relation mining. The authors implement a research profiling experiment in Artificial Intelligence area to show the effectiveness of the research profiling based on semantic mining.
| Maria Sokhn | - | university of Applied Sciences of Western Switzerland | |
| Elena Mugellini | - | university of Applied Sciences of Western Switzerland | |
| Omar Abou Khaled | - | university of Applied Sciences of Western Switzerland | |
| Ahmed Serhrouchni | - | Telecom ParisTech, Paris, France |
The advent of technologies in information retrieval driven by
users’
requests calls for an effort to conceive and develop semantic-based
applications. In recent years the semantic web gave place for a
new generation of search query engines that rely on the semantic
of the documents expressed by metadata. In this paper we present
a knowledge-based approach to visualizing and navigating through
conference video-recordings. This approach is based on a conference
ontology that models the information conveyed within a conference
life cycle.
| Heiko Paulheim | - | SAP Research | |
| Florian Probst | - | SAP Research |
Application integration can be carried out on three different levels: the data source level, the business logic level, and the user interface level. With ontologies-based integration on the data source level dating back to the 1990s and semantic web services for integrating on the business logic level coming of age, it is time for the next logical step: employing ontologies for integration on the user interface level. Such an approach will improve both the development times and the usability of integrated applications. In this poster, we present an approach employing ontologies for integrating applications on the user interface level.
| Benjamin Grosof | - | Vulcan Inc. | |
| Mike Dean | - | BBN Technologies | |
| Michael Kifer | - | Stony Brook University |
SILK is a new knowledge representation (KR) language and system that integrates and extends recent theoretical and implementation advances in semantic rules and ontologies. It addresses fundamental requirements for scaling the Se- mantic Web to large knowledge bases in science and busi- ness that answer questions, proactively supply info, and rea- son powerfully. SILK radically extends the KR power of W3C OWL RL, SPARQL, and RIF-BLD, as well as of SQL and production rules. It includes defaults (cf. Courteous LP), higher-order features (cf. HiLog), frame syntax (cf. F-Logic), external actions (cf. production rules), and sound interchange with the main existing forms of knowledge/data in the Semantic Web and deep Web. These features cope with knowledge quality and context, provide flexible meta- reasoning, and activate knowledge.
| David Manzolillo | - | LMI | |
| Julia Kalloz | - | LMI |
LMI is a not-for-profit research organization committed to helping government leaders and managers reach decisions that make a difference on issues of national importance.
Climate change will be one of the defining issues of this century. It has moved from the province of specialists in environmental issues to one of concern for all government leaders. The International Panel on Climate Change (IPCC), the U.S. Global Change Research Program, and individual U.S. agencies have produced important studies of climate change. However, the IPCC Fourth Assessment Report (AR4) alone is over 2600 pages. Within these pages, LMI identified 2693 findings that include specific defined levels of uncertainty.
The findings from the IPCC have been so thoroughly demonstrated by the scientific method that it would be a failure of responsibility to ignore them. They form the basis for the LMI Climate Change Knowledge Engine (LMI-CliCKE™) and A Federal Leader’s Guide to Climate Change – a LMI published book written to assist leaders of federal agencies in addressing the challenges associated with climate change.
Thorough analysis of the 2693 findings led LMI to develop a semantically driven, wiki-based web site that allows users to explore, analyze, evaluate, and compare scientific findings related to climate change. The LMI Climate Change Knowledge Engine (LMI-CliCKE™) gives full text and categorical details of the findings and relationships among them. As an initial prototype the LMI climate team has selected and categorized all findings from the AR4.
| Divya S | - | Gnowledge Lab, Homi Bhabha Centre, Tata Institute of Fundamental Research | |
| Alpesh Gajbe | - | Gnowledge Lab, Homi Bhabha Centre, Tata Institute of Fundamental Research | |
| Rajiv Nair | - | Gnowledge Lab, Homi Bhabha Centre, Tata Institute of Fundamental Research | |
| Ganesh Gajre | - | Gnowledge Lab, Homi Bhabha Centre, Tata Institute of Fundamental Research | |
| Nagarjuna G | - | Gnowledge Lab, Homi Bhabha Centre, Tata Institute of Fundamental Research |
GNOWSYS-mode is an Emacs extension package for knowledge networking and ontology management using GNOWSYS (Gnowledge Networking and Organizing SYStem) as a server. The demonstration shows how to collaboratively build ontologies and semantic network in an intuitive plain text without any of the RDF notations, though importing and exporting in RDF is possible.
| Simon Price | - | University of Bristol | |
| Jasper Tredgold | - | University of Bristol | |
| Nikki Rogers | - | University of Bristol | |
| Mike Jones | - | University of Bristol | |
| Damian Steer | - | University of Bristol | |
| Angela Piccini | - | University of Bristol |
STARS is an open source e-research tool that enables screen arts researchers to browse, annotate and replay moving image content in order to better understand its thematic links to those people and communities involved in all aspects of its creation. The STARS software was built using Semantic Web technologies to address the technical challenges of integrated searching, browsing and visualisation across curated core data and user-contributed annotations.
| Hanmin Jung | - | Korea Institute of Science and Technology Information | |
| Seungwoo Lee | - | Korea Institute of Science and Technology Information | |
| Pyung Kim | - | Korea Institute of Science and Technology Information | |
| Mikyoung Lee | - | Korea Institute of Science and Technology Information | |
| Beom-Jong You | - | Korea Institute of Science and Technology Information |
Like web services, semantically-operated services can be assembled to construct a new composite service. For this, we designed the semantic broker that searches semantic services matched with given conditions, assembles them to dynamically generate pipelines of semantic services, and execute the pipelines. By executing the resulting pipelines, the user can select one which he/she really intended. In this way, our system can help the user who wants to design new semantically-operated services by mashing up the existing semantically-operated services.
| Carolina Fortuna | - | Jozef Stefan Institute | |
| Bogdan Ivan | - | Technical University of Cluj-Napoca | |
| Zoltan Padrah | - | Technical University of Cluj-Napoca | |
| Luka Bradesko | - | Jozef Stefan Institute, Cyc Europe | |
| Blaz Fortuna | - | Jozef Stefan Institute | |
| Mihael Mohorcic | - | Jozef Stefan Institute |
Service oriented access in a multi-application, multi-access network environment is faced with the problem of cross-layer interoperability among technologies. In this demo, we present a knowledge base (KB) which contains local (user terminal specific) knowledge that enables pro-active network selection by translating technology specific parameters to higher-level, more abstract parameters. We implemented a prototype which makes use of semantic technology (namely ResearchCyc) for creating the elements of the KB and uses reasoning to determine the best access network. The system implements technology-specific parameter mapping according to the IEEE 802.21 draft standard recommendation.
| Delia Rusu | - | Jozef Stefan Institute | |
| Blaz Fortuna | - | Jozef Stefan Institute | |
| Dunja Mladenic | - | Jozef Stefan Institute |
Semantic graphs can be seen as a way of representing and visualizing textual information in more structured, RDF-like graphs. The reader thus obtains an overview of the content, without having to read through the text. In building a compact semantic graph, an important step is grouping similar concepts under the same label and connecting them to external repositories. This is achieved through disambiguating word senses, in our case by assigning the sense to a concept given its context. The paper presents an unsupervised, knowledge based word sense disambiguating algorithm for linking semantic graph nodes to the WordNet vocabulary. The algorithm is integrated in the semantic graph generation pipeline, improving the semantic graph readability and conciseness. Experimental evaluation of the proposed disambiguation algorithm shows that it gives good results.
| Christian Battista | - | Jobe Microsystems, University of Western Ontario | |
| Benjamin Coe | - | Jobe Microsystems, University of Guelph |
WikiEarth (http://www.wikiearth.net) is a website designed for encouraging collaboration between researchers across the academic spectrum, and also serves as a test case to determine the limitations and benefits of using an ontological data structure to manage the input of natural science based data from around the world.
Drawing upon Wikipedia's model of massive user collaboration, WikiEarth's motivation is to extend beyond this by formalizing the relationships between the data being entered. A semantic ontology is a natural candidate for data representation for three reasons: first, the hierarchical class structure of an OWL-Ontology helps avoid redundancy when developing simulations, as an operation can be applied to a class and all its subclasses; secondly, a framework like Jena helps eliminate human error and reduce the amount of data entry that needs to be performed; and finally, important restrictions regarding data entry are imposed by the ontological structure and Jena, as opposed to by a proprietary system developed for one specific application.
Utilizing this infrastructure, a WikiEarth Climate Demonstration was successfully conceptualized, constructed, deployed and subsequently unveiled at the 2009 World Student Environmental Summit. The success of this application demonstrates that ontologies could be effectively purposed for a high-traffic production system.
| Mohammad Reza Tazari | - | Fraunhofer IGD |
A vision of the Semantic Web is to facilitate global software interoperability. Many approaches and specifications are available that work towards realization of this vision: Service-oriented architectures (SOA) provide a good level of abstraction for interoperability; Web Services provide programmatic interfaces for application to application communication in SOA; there are ontologies that can be used for machine-readable description of service semantics. What is still missing is a standard for constructing semantically formulated service requests that solely rely on shared domain ontologies without depending on programatic or even semantically described interfaces. \emph{Semantic RPC} would then include the whole process from issuing such a request, matchmaking with semantic profiles of available and accessible services, deriving input parameters for the matched service(s), calling the service(s), getting the results, and mapping back the results onto an appropriate response to the original request. The standard must avoid realization-specific assumptions so that frameworks supporting semantic RPC can be built for bridging the gap between the semantically formulated service requests and matched programmatic interfaces. This poster introduces a candidate solution to this problem by outlining a query language for semantic service utilization based on an extension of the OWL-S ontology for service description.
| Isabel Cruz | - | University of Illinois at Chicago UIC | |
| Flavio Palandri Antonelli | - | University of Illinois at Chicago UIC | |
| Cosmin Stroe | - | University of Illinois at Chicago UIC |
The AgreementMaker system for ontology matching includes an extensible architecture, which facilitates the integration and performance tuning of a variety of matching methods, an evaluation mechanism, which can make use of a reference matching or rely solely on quality measures, and a multi-purpose user interface, which drives both the matching methods and the evaluation strategies. Our demo focuses on the tight integration of matching methods and evaluation strategies, a unique feature of our system.
| yuan ni | - | ibm china research lab | |
| guo tong xie | - | ibm china research lab | |
| Sheng ping liu | - | ibm china research lab | |
| Han yu li | - | ibm china research lab | |
| Jing mei | - | ibm china research lab | |
| Gang hu | - | ibm china research lab | |
| Hai feng liu | - | ibm china research lab | |
| Xue qiao hou | - | ibm china research lab |
We present iSMART, a system for intelligent Semantic MedicAl Record reTrival. Health Level 7 Clinical Document Architecture (CDA)[4], a standard based on XML, is well recognized for the representation and exchange of medical records. In CDAs, medical ontologies/terminologies, e.g. SNOMED CT[2], are used to specify the semantic meaning of clinical statements. To better use the structure and semantic information in CDAs for a more effective search, we propose and implement the iSMART system. Firstly, we design and implement an XML-to-RDF convertor to extract RDF statements from medical records using declarative mapping. Then, we design a reasoner to infer additional information by integrating the knowledge from the domain ontologies based on the extracted RDF statements. Finally, we index the inferred set of RDF statements and provide the semantic search on them. A demonstration video is available online[1].
| Kouji Kozaki | - | ISIR, Osaka University | |
| Takeru Hirota | - | ISIR, Osaka University | |
| Hiroko Kou | - | ISIR, Osaka University | |
| Mamoru Ohta | - | ISIR, Osaka University | |
| Riichiro Mizoguchi | - | ISIR, Osaka University |
This paper discusses semantic technologies for multi-perspective issues of ontologies based on ontological viewpoint management. We developed two technologies and implement them in environmental and medical domain. The first one is conceptual map generation tool which allows the users to explore an ontology according to their own perspectives and visualizes them in a user-friendly form, i.e. conceptual map. The other is on-demand reorganization of is-a hierarchy from an ontology. They contribute to integrated understanding of ontologies and a solution of multi-perspective issues of ontologies.
| Todd Schneider | - | Raytheon | |
| Kenneth Baclawski | - | Northeastern University |
The Open Ontology Repository is an open source effort to develop infrastructure for ontologies that is federated, robust and secure. This article describes the purpose, requirements and goals of this initiative.
| Bernhard Schandl | - | University of Vienna |
Spreadsheet tools are often used in business and private scenarios in order to collect and store data, and to explore and analyze these data by executing functions and aggregations. They allow users to incrementally compose calculations by filling cells with formulas that are evaluated against data in the sheet, whereas expressions can be nested via cell references. In this paper we present Tripcel, a tool that applies the spreadsheet concept to RDF. It allows users to formulate expressions over the contents of an RDF graph, to arrange these expressions in a grid, and to interactively inspect their evaluation results. Thus it can be used to perform analysis tasks over large data sets within an understandable and familiar interface.
| Maria Maleshkova | - | Knowledge Media Institute (KMI), The Open University | |
| Carlos Pedrinaci | - | Knowledge Media Institute (KMI), The Open University | |
| John Domingue | - | Knowledge Media Institute (KMI), The Open University |
| Martin Hepp | - | Universität der Bundeswehr München | |
| Andreas Radinger | - | Universität der Bundeswehr München |
SKOS2OWL is an online tool that allows deriving consistent RDF-S or OWL ontologies from most hierarchical classifications available in the W3C SKOS exchange format. SKOS2OWL helps the user narrow down the intended meaning of the available categories to classes and guides the user through several modeling choices. In particular, SKOS2OWL can draw a representative random sample of relevant conceptual elements in the SKOS file and asks the user to make statements about their meaning. This can be used to make reliable modeling decisions without looking at every single element, which would be unfeasible for large classifications.
| Roland Stühmer | - | FZI Research Center for Information Technology | |
| Darko Anicic | - | FZI Research Center for Information Technology | |
| Sinan Sen | - | FZI Research Center for Information Technology | |
| Jun Ma | - | FZI Research Center for Information Technology | |
| Kay-Uwe Schmidt | - | SAP AG, Research | |
| Nenad Stojanovic | - | FZI Research Center for Information Technology |
In this demo we show the current state of our client-side rule engine for the Web. The engine is an implementation for creating and processing semantic events from interaction with Web pages which opens possibilities to build event-driven applications for the (Semantic) Web. Events, simple or complex, are models for things that happen e.g., when a user interacts with a Web page. Events are consumed in some meaningful way e.g., for monitoring reasons or to trigger actions such as responses. In order for receiving parties to understand events, i.e. comprehend what has led to an event, we demonstrate a general event schema using RDFS.
| Akshay Bhat | - | Syracuse University, Institute of Chemical Technology |
We propose a new utility for Semantic Web called as Analogy Engine. Analogy engine employs an example based search approach for retrieving the most similar URIs for the given URI by comparing number of shared links. The Analogy engine is based on Analogy Space, which uses Singular Value Decomposition on matrix representation of a Semantic Network. However Analogy Space faces difficulty with networks having more than a few thousand nodes. We present our preliminary work on scaling Analogy Space by dividing the network into multiple communities, and creating separate Analogy Space for each community. We show that this procedure results in significant improvements and can be used for a large scale network such as the Semantic Web.
| Kerstin Denecke | - | L3S Research Center | |
| Gideon Zenz | - | L3S Research Center | |
| Wladimir Krasnov | - | L3S Research Center |
In this paper, we present an approach that exploits semantic web technologies to categorize specialized text and to create hierarchical facets representing the document content. For this purpose, domain knowledge represented by a thesaurus with relevant, domain-specific terms is used to identify relevant terms. Based on dependency information between single terms provided by the thesaurus (hypernomy, hyponymy), we create hierarchical facets representing the content of the text. The algorithm is applied to a collection of service messages and shows promising results in text categorization.
| Lushan Han | - | University of Maryland, Baltimore County, USA | |
| Timothy Finin | - | University of Maryland, Baltimore County, USA | |
| Yelena Yesha | - | University of Maryland, Baltimore County, USA |
The Semantic Web was designed to unambiguously define and use ontologies to encode data and knowledge on the Web. Many people find it difficult, however, to write complex RDF statements and queries because it requires familiarity with the appropriate ontologies and the terms they define. We describe a framework that eases the experiences in authoring and querying RDF data, in which we focus on automatically finding a set of appropriate Semantic Web ontology terms from a set of words used as the labels of nodes and edges in an incoming semantic graph.
| Matthew Rowe | - | University of Sheffield | |
| Jose Iria | - | University of Sheffield |
The need to monitor a person's web presence has risen in recent years due to identity theft and lateral surveillance becoming prevalent web actions. In this paper we present a machine learning-inspired bootstrapping approach to monitor identity web references that only requires as input an initial small seed set of data modelled as an RDF graph. We vary the combination of different RDF graph matching paradigms with different machine learning classifiers and observe the effects on the classification of identity web references. We present preliminary results of an evaluation in order to show the variation in accuracy of these different permutations.
| Jon Phipps | - | Metadata Management Associates | |
| Diane Hillmann | - | Metadata
Management Associates, Syracuse University |
As more and more of the world's databases are opened to the Semantic Web as linked data, there is a growing awareness of the need for upper-level ontologies and RDF vocabularies to support the dissemination of this data. For more than 150 years libraries have been developing standards for describing resources contained in the world's libraries. This year, for the first time in its long history, the library community is making that experience and knowledge freely available as a coordinated set of controlled vocabularies and upper-level ontologies. Resource Description and Access (RDA) is the international library community's new standard for resource description. A component of this standard -- the RDA Vocabularies -- will finally allow libraries to make the vast silos of library and museum metadata publicly available as semantically rich linked data, and provide the semantic web and linked data communities access to more than a century of library experience in describing resources.
The Open Metadata Registry is hosting these vocabularies. The Registry is an Open Source, non-commercial project specifically designed to provide individuals, communities, and organizations an easy-to-use platform supporting the development and dissemination of multi-lingual controlled vocabularies and upper-level and domain-specific ontologies.
This demo, poster and related handouts will introduce Resource Description and Access (RDA) and the Open Metadata Registry vocabulary development platform to the Semantic Web Community.
| Asunción Gómez-Pérez | - | Universidad Politécnica de Madrid (Ontology Engineering Group) | |
| Mari Carmen Suárez-Figueroa | - | Universidad Politécnica de Madrid (Ontology Engineering Group) | |
| Martín Vigo | - | Universidad Politécnica de Madrid (Ontology Engineering Group) |
The Ontology Engineering field lacks tools that guide ontology developers to plan and schedule their ontology development projects. gOntt helps ontology developers in two ways: (a) to schedule ontology projects; and (b) to execute such projects based on the schedule and using the NeOn Methodology.
| Yuan Ren | - | University of Aberdeen | |
| Jeff Z. Pan | - | University of Aberdeen | |
| Yuting Zhao | - | University of Aberdeen |
Large scale semantic web applications require efficient and robust description logic (DL) reasoning services. In this paper, we present a soundness preserving tractable approximative reasoning approach for TBox reasoning in R, a fragment of OWL2-DL supporting ALC GCIs and role chains with 2ExpTime-hard complexity. We first rewrite the ontologies into EL+ with an additional complement table maintaining the complementary relations between named concepts, and then classify the approximation. Preliminary evaluation shows that our approach can classify existing benchmarks in large scale efficiently with a high recall.
| Mark Cameron | - | CSIRO ICT Centre, Australia | |
| Jemma Wu | - | CSIRO ICT Centre, Australia | |
| Kerry Taylor | - | CSIRO ICT Centre, Australia | |
| David Ratcliffe | - | CSIRO ICT Centre, Australia | |
| Goeffrey Squire | - | CSIRO ICT Centre, Australia | |
| John Colton | - | CSIRO ICT Centre, Australia |
The diversity and heterogeneity of ocean observing systems obstructs the information flow needed to fully realise the benefits. SIOOS is a prototype for semantically-driven integration of ocean observation systems. SIOOS is built upon our Semantic Service Architecture platform, making rich use of complex ontologies and ontology-to-resource mappings to offer a flexible, semantically-driven integration environment. The SIOOS prototype draws on a federation of autonomous web and sensor observation services from the Integrated Ocean Observing System (IOOS). In this demonstration, we will use typical information management scenarios drawn from the ocean observation community to highlight major features of the SIOOS and show how these features address some of the challenges faced by the IOOS community.
| Klaas Dellschaft | - | Universität Koblenz-Landau | |
| Qiu Ji | - | Universität Karlsruhe | |
| Guilin Qi | - | Universtität Karlsruhe |
Ontologies play a central role for the formal representation of knowledge on the Semantic Web. A major challenge in collaborative ontology construction is to handle inconsistencies caused by changes to the ontology. In this paper, we present our CoDR system which helps to diagnose and repair collaboratively constructed ontologies. CoDR integrates RaDON, an ontology diagnosis and repair tool, and Cicero, which provides discussion functionality for the ontology developers. CoDR is realized as a plugin for the NeOn Toolkit. It helps to use discussions held in Cicero as context information during repairing an ontology with RaDON. But it is also possible to use the diagnoses from RaDON during the discussions in Cicero.
| JIAO TAO | - | Rensselaer Polytechnic Institute | |
| Evren Sirin | - | Clark & Parsia, LLC |
In many data-centric applications, it is desirable to use OWL as an expressive schema language with which one expresses constraints that must be satisfied by instance data. However, specific aspects of OWL's standard semantics---i.e., the Open World Assumption (OWA) and the absence of Unique Name Assumption (UNA)---make it difficult to use OWL in this way. In this paper, we present an Integrity Constraint (IC) semantics for OWL axioms, show that IC validation can be reduced to query answering, and present our preliminary results with a prototype implementation using Pellet.
| Emanuele Della Valle | - | Dip.
di Elettronica e Informazione, Politecnico di Milano |
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| Irene Celino | - | CEFRIEL - ICT Institute Politecnico di Milano | |
| Daniele Dell'Aglio | - | CEFRIEL - ICT Institute Politecnico di Milano |
This paper describes the alpha Urban LarKC, one of the first Urban Computing applications built with Semantic Web technologies. It is based on the LarKC platform and makes use of the publicly available data sources on the Web which refer to interesting information about a urban environment (the city of Milano in Italy).
| Philipp Kärger | - | L3S Research Center | |
| Emily Kigel | - | Leibniz University Hannover | |
| VenkatRam Yadav Jaltar | - | L3S Research Center |
In this demo paper we describe SPoX, a tool that allows to define the behaviour of Skype based on reactive Semantic Web policies. SPoX (Skype Policy Extension) enables users to define policies stating, for example, who is allowed to call and whose chat messages show up. Moreover, SPoX reacts to arbitrary events in Skype's Social Network as well, such as on-line status changes of users or the birthday of a friend. The decisions about how SPoX reacts are defined by means of Semantic Web policies that do not only consider the context of the user (such as time or on-line status) but include Social Semantic Web data into the policy reasoning process. By this means, users can state that, for instance, only people defined as friends in their FOAF profile, only friends on Twitter, or even only people they wrote a paper with are allowed to call. Further, SPoX exploits Semantic Web techniques for advanced negotiations by means of exchanging policies over the Skype application channel. This procedure allows two clients to negotiate trust based on their SPoX policies before a connection - for example a Skype call - is established.
| Hugh Glaser | - | University of Southampton | |
| Ian Millard | - | University of Southampton |
As the Linked Data initiatives and Web of Data become more widespread, sites that process and re-present the published data are growing in size and number. One challenge is to ensure that such sites do not themselves fall into the trap of failing to publish their new knowledge in a readily available manner. Not only should the work of such sites be re-published for Linked Data users, but it should also be accessible to site builders who have not yet embraced the Semantic Web. This paper presents the work that has been done with the RKBExplorer system to support this task, and describes examples of how it is used.
| Fabian Abel | - | L3S Research Center | |
| Ricardo Kawase | - | L3S Research Center | |
| Daniel Krause | - | L3S Research Center | |
| Patrick Siehndel | - | L3S Research Center |
In this paper we present TagMe!, a tagging and exploration front-end for Flickr images, which enables users to add categories to tag assignments and to attach tag assignments to a specific area within an image. We analyze the differences between tags and categories and show how both facets can be applied to learn semantic relations between concepts referenced by tags and categories. Further, we discuss how the multi-faceted tagging helps to improve the retrieval of folksonomy entities. The TagMe! system is currently available at http://tagme.groupme.org
| Rob Vesse | - | University of Southampton | |
| Wendy Hall | - | University of Southampton | |
| Les Carr | - | University of Southampton |
All About That (AAT) is a URI Profiling tool which allows users to monitor and preserve Linked Data in which they are interested. Its design is based upon the principle of adapting ideas from hypermedia link integrity in order to apply them to the Semantic Web. As the Linked Data Web expands it will become increasingly important to maintain links such that the data remains useful and therefore this tool is presented as a step towards providing this maintenance capability.
| Ian Oliver | - | Nokia Researcg | |
| John Howse | - | University of Brighton | |
| Gem Stapleton | - | University of Brighton | |
| Esko Nuutila | - | Helsinki University of Technology | |
| Seppo Torma | - | Helsinki University of Technology |
We propose a diagrammatic logic that is suitable for specifying ontologies. We provide a specification of a simple ontology and include examples to show how to place constraints on ontology specifications and define queries. The framework also allows the depiction of instances, multiple ontologies to be related, and reasoning about ontologies.
| Sangkeun Lee | - | Seoul National University | |
| Gihyun Gong | - | Seoul National University | |
| Sang-goo Lee | - | Seoul National University |
LifeLogOn is a system that enables users to easily and rapidly convert heterogeneous relational log data into instance-level integrated log ontology without requiring understanding any ontology languages. It also enables visualizing the created log ontology and allows users to navigate entities and events in the ontology by following their semantic relationships. This demo shows that integration of logs from many different sources can be practical starting point of realizing life logging which can support users’ memory and future intelligent services.
| Martin Hepp | - | Universität der Bundeswehr München | |
| Roberto García | - | Universitat de Lleida | |
| Andreas Radinger | - | Universität der Bundeswehr München |
In this demo and poster, we show a conceptual approach and an on-line tool that allows the use of RDFa for embedding non-trivial RDF models in the form of invisible div/span elements into existing Web content. This simplifies the publication of sophisticated RDF data, i.e. such that goes beyond simple property-value pairs, by broad audiences. Also, it empowers users with access limited to inserting XHTML snippets within Web-based authoring systems to add fully-fledged RDF and even OWL. Such is a frequent limitation for users of CMS systems or Wikis.
| Evan Patton | - | Rensselaer Polytechnic Institute | |
| Deborah McGuinness | - | Rensselaer Polytechnic Institute |
The Tetherless World Mobile Wine Agent integrates semantics, geolocation, and social networking on a low-power, mobile platform to provide a unique food and wine recommender system. It provides a robust user interface that allows users to describe a wealth of information about foods and wines as OWL classes and instances and it allows users to share these descriptions with their friends via custom URIs. This demonstration will examine how the user interface simplifies generating RDF data, how location services such as GPS can simplify reasoning (reducing the ABox due to context-sensitive information), and how users of the Mobile Wine Agent can utilize social networking tools such as Facebook and Twitter to share content with others over the World Wide Web.
| Tudor Groza | - | DERI
Galway, National University of Ireland, Galway |
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| Laura Dragan | - | DERI
Galway, National University of Ireland, Galway |
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| Siegfried Handschuh | - | DERI
Galway, National University of Ireland, Galway |
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| Stefan Decker | - | DERI
Galway, National University of Ireland, Galway |
The exponential growth of the World Wide Web in the last decade, brought an explosion in the information space, which has important consequences also in the area of scientific research. Thus, finding relevant work in a particular field and exploring the links between publications is quite a cumbersome task. Similarly, on the desktop, managing the publications acquired over time can represent a real challenge. Extracting semantic metadata, exploring the linked data cloud and using the semantic desktop for managing personal information represent, in part, solutions for different aspects of the above mentioned issues. In this poster/demo, we show an innovative approach for bridging these three directions with the overall goal of alleviating the information overload problem burdening early stage researchers.
| Klaas Dellschaft | - | Universität Koblenz-Landau | |
| Olaf Görlitz | - | Universität Koblenz-Landau | |
| Martin Szomszor | - | University of Southampton |
In this work, we describe our approach on how to deal with tag ambiguity in tagging systems and how to enable a sense aware or semantic search. The sense aware search is realized by means of a Sense Repository which returns for given terms a list of potential senses. This list is then presented to the user of the cross-folksonomy search engine MyTag so that he can explicitly select the sense he wants to search for. The search results are then ranked according to this sense so that relevant resources appear higher in the result list.
| Juergen Umbrich | - | Digital Enterprise Research Institute | |
| Hugh Glaser | - | ECS, University of Southampton | |
| Tuukka Hastrup | - | University of Jyväskylä | |
| Ian Millard | - | ECS, University of Southampton | |
| Michael Hausenblas | - | Digital Enterprise Research Institute |
Publishing and consuming content on the Web of Data often requires considerable expertise in the underlying technologies, as the expected services to achieve this are either not packaged in a simple and accessible manner, or are simply lacking. In this poster, we address selected issues by briefly introducing the following essential Web of Data services designed to lower the entry-barrier for Web developers: (i) a multi-ping service, (ii) a meta search service, and (iii) a universal discovery service.
| Li Ding | - | RPI | |
| Dominic DiFranzo | - | RPI | |
| Sarah Magidson | - | University of Chicago | |
| Deborah McGuinness | - | RPI | |
| Jim Hendler | - | RPI |
The Data-gov Wiki is the delivery site for a project where we investigate the role of linked data in producing, processing and utilizing the government datasets found on data.gov. The project has generated over 2 billion triples from government data and a few interesting applications covering data access, visualization, integration, linking and analysis.
| Andreas Langegger | - | Johannes Kepler University Linz | |
| Wolfram Wöß | - | Johannes Kepler University Linz |
In this demo we will present XLWrap-Server, which is a wrapper for collections of spreadsheets providing a SPARQL and Linked Data interface similar to D2R-Server. It is based on XLWrap, a novel approach for generating RDF graphs of arbitrary complexity from spreadsheets with different layouts. To our best knowledge, XLWrap is the first spreadsheet wrapper, supporting cross tables and tables where data is not aligned in rows. It features a full expression algebra based on the syntax of OpenOffice Calc which can be easily extended by users and it supports Microsoft Excel, Open Document, and large CSV spreadsheets. XLWrap-Server can be used to integrate information from a collection of spreadsheets. We will show several use-cases and mapping design patterns in our demonstration.
| Danh Le Phuoc | - | Digital Enterprise Research Institute, National University of Ireland, Galway, Ireland | |
| Manfred Hauswirth | - | Digital Enterprise Research Institute, National University of Ireland, Galway, Ireland |
| Matthew Horridge | - | The University of Manchester | |
| Bijan Parsia | - | The University of Manchester | |
| Ulrike Sattler | - | The University of Manchester |
| Freddy Lecue | - | The University of Manchester |
Ranking and optimization of web service compositions are some of the most interesting challenges at present. Since web services can be enhanced with formal semantic descriptions, forming the "semantic web services", it becomes conceivable to exploit the quality of semantic links between services (of any composition) as one of the optimization criteria. For this we propose to use the semantic similarities between output and input parameters of web services. Coupling this with other criteria such as quality of service (QoS) allow us to rank and optimize compositions achieving the same goal. We present the Composition Optimizer tool, using an innovative and extensible optimization model designed to balance semantic fit (or functional quality) with non-functional QoS metrics, in order to optimize service composition. To allow the use of this model in the context of a large number of services as foreseen by the EC-funded project SOA4All we propose and test the use of Genetic Algorithms.
| Willem Robert van Hage | - | VU University Amsterdam | |
| Gerben de Vries | - | University of Amsterdam | |
| Véronique Malaisé | - | VU University Amsterdam | |
| Guus Schreiber | - | VU University Amsterdam | |
| Maarten van Someren | - | University of Amsterdam |
| Kathrin Dentler | - | Vrije Universiteit Amsterdam | |
| Stefan Schlobach | - | Vrije Universiteit Amsterdam | |
| Christophe Guéret | - | Vrije Universiteit Amsterdam |
Semantic Web reasoning systems are confronted with the task to process growing amounts of distributed, dynamic resources. We propose a novel way of approaching the challenge by RDF graph traversal, exploiting the advantages of Swarm Intelligence. Our nature-inspired methodology is realised by self-organising swarms of autonomous, light-weight entities that traverse RDF graphs by following paths, aiming to instantiate pattern-based inference rules.
| Cui Tao | - | Mayo Clinic, Division of Biomedical Statistics and Informatics | |
| Jyotishman Pathak | - | Mayo Clinic, Division of Biomedical Statistics and Informatics | |
| Harold R. Solbrig | - | Mayo Clinic, Division of Biomedical Statistics and Informatics | |
| Wei-Qi Wei | - | Mayo Clinic, Division of Biomedical Statistics and Informatics | |
| Christopher G. Chute | - | Mayo Clinic, Division of Biomedical Statistics and Informatics |
The Lexical Grid (LexGrid) project is an on-going community-driven initiative coordinated by the Mayo Clinic Division of Biomedical Statistics and Informatics. It provides a common terminology model to represent multiple vocabulary and ontology sources as well as a scalable and robust API for accessing such information. While successfully used and adopted in the biomedical and clinical community, LexGrid model now needs to be aligned with emerging Semantic Web standards and specifications. This paper introduces the LexRDF model, which maps the LexGrid model elements to corresponding constructs in W3C speci¯cations such as RDF, OWL, and SKOS. With LexRDF, the terminological information represent in LexGrid can be translated to RDF triples, and therefore allowing LexGrid to leverage standard tools and technologies such as SPARQL and RDF triple stores.
| Bernhard Schandl | - | University of Vienna | |
| Stefan Zander | - | University of Vienna |
Mobile applications are of increasing interest for research and industry. The widespread use and improved capabilities of portable devices enable the deployment of sophisticated and powerful applications that provide the user with services at any time and location. When such applications are built on top of Linked Data, permanent network connectivity is required, which is often not available or expensive to establish. Hence we propose a framework that uses RDF-based context descriptions to selectively and proactively replicate data to mobile devices. These replicas can be used when no network connection can be established, thus making mobile applications and users more autonomous and stable.
| Martin Hepp | - | Universität der Bundeswehr München | |
| Andreas Radinger | - | Universität der Bundeswehr München | |
| Andreas Wechselberger | - | Universität der Bundeswehr München | |
| Alex Stolz | - | Universität der Bundeswehr München | |
| Daniel Bingel | - | Universität der Bundeswehr München | |
| Thomas Irmscher | - | Universität der Bundeswehr München | |
| Mark Mattern | - | Universität der Bundeswehr München | |
| Tobias Ostheim | - | Universität der Bundeswehr München |
The adoption of ontologies for the Web of Data can be increased by tools that help populating respective knowledge bases from legacy content, e.g. existing databases, business applications, or proprietary data formats.
In this demo and poster, we show the results from our efforts of developing a suite of open-source tools for creating e-commerce descriptions for the Web of Data based on the GoodRelations ontology. Also, we demonstrate how RDF/XML data can be (1) submitted to Yahoo SearchMonkey via the RDF2DataRSS conversion tool, (2) inspected using the SearchMonkey Meta-Data Inspector, and (3) how common data inconsistencies can be spotted with the GoodRelations Validator.
| Juan Sequeda | - | University of Texas at Austin | |
| Rudy Depena | - | University of Texas at Austin | |
| Daniel Miranker | - | University of Texas at Austin |
Ultrawrap is an automatic wrapping system that synthesizes an OWL ontology from the database’s SQL schema and provides SPARQL query services for legacy relational databases. The system intentionally defines triples by using SQL view statements. The benefits of this organization include, the virtualization of the triple table assures real-time consistency between relational and semantic accesses to the database and the existing SQL optimizer implements the most challenging aspects of rewriting SPARQL to equivalent queries on the relational representation of the data. Initial experiments are auspicious.
| Krisztian Balog | - | University of Amsterdam | |
| Maarten de Rijke | - | University of Amsterdam | |
| Raymond Franz | - | TrendLight Netherlands B.V. | |
| Hendrike Peetz | - | University of Amsterdam | |
| Bart Brinkman | - | University of Amsterdam | |
| Ivan Johgi | - | University of Amsterdam | |
| Max Hirschel | - | University of Amsterdam |
We present SaHaRa, a system that helps to discover and analyze the relationship between entities and topics in large collections of news articles. We augment entity related search by including semantically related linked open data.
| Clement Jonquet | - | Stanford University | |
| Nigam H. Shah | - | Stanford University | |
| Cherie H. Youn | - | Stanford University | |
| Chris Callendar | - | University of Victoria | |
| Margaret-Anne Storey | - | University of Victoria | |
| Mark A Musen | - | Stanford University |
The National Center for Biomedical Ontology Annotator is an ontology-based web service for annotation of textual biomedical data with biomedical ontology concepts. The biomedical community can use the Annotator service to tag datasets automatically with concepts from more than 200 ontologies coming from the two most important set of biomedical ontology & terminology repositories: the UMLS Metathesaurus and NCBO BioPortal. Through annotation (or tagging) of datasets with ontology concepts, unstructured free-text data becomes structured and standardized. Such annotations contribute to create a biomedical semantic web that facilitates translational scientific discoveries by integrating annotated data.