P113 - The Social Semantic Web 2007 - Proceedings of the 1st Conference on Social Semantic Web (CSSW)
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- KonferenzbeitragA Prototype to Explore Content and Context on Social Community Sites(The Social Semantic Web 2007 – Proceedings of the 1st Conference on Social Semantic Web (CSSW), 2007) Bojārs, Uldis; Heitmann, BenjaminThe SIOC Ontology can be used to express information from the online community sites in a machine-readable form using RDF. This rich data structure allows us to easily analyse and extract social relations from these community sites. We use SIOC information to analyse the social relations between users through the content that they create. We introduce metrics for social neighbourhood and social reputation, formally expressed as SPARQL queries over SIOC data. Finally, we demonstrate these algorithms in our Social SIOC Explorer prototype.
- KonferenzbeitragIMAGENOTION - Collaborative Semantic Annotation of Images and Image Parts and Work Integrated Creation of Abstract: Ontologies(The Social Semantic Web 2007 – Proceedings of the 1st Conference on Social Semantic Web (CSSW), 2007) Walter, Andreas; Nagypal, GaborIn this paper, we present the ImageNotion tool that allows for the semantic annotation of images and image parts together with the maturing of ontologies in a work integrated environment. The tool uses our ImageNotion methodology for ontology development.
- KonferenzbeitragImplementing SPARQL Support for Relational Databases and Possible Enhancements(The Social Semantic Web 2007 – Proceedings of the 1st Conference on Social Semantic Web (CSSW), 2007) Weiske, Christian; Auer, SörenIn order to make the Semantic Web real we need the infrastructure to store, query and update information adhering to the RDF paradigm. Such infrastructure can be developed from scratch or benefit from developments and experiences made in other science & technology realms such as within the database domain. For querying RDF data the World Wide Web Consortium released a Working Draft for the SPARQL query language. A large portion of the Web is meanwhile driven by server-side Web applications. PHP is the scripting language most widely used for Web applications. In this paper we present our PHP implementation of the SPARQL standard directly interacting with an underlying database system. The approach is based on the rationale of pushing as much work into the RDBMS as possible in order to profit most from the query optimization techniques developed for relational database systems. The article includes an evaluation of the performance and standard compliance, surveys limitations we discovered when using SPARQL for the implementation of real-life Semantic Web applications and suggests extensions to the SPARQL standard in order to solve these obstacles.
- KonferenzbeitragSemantisch unterstütztes Requirements Engineering(The Social Semantic Web 2007 – Proceedings of the 1st Conference on Social Semantic Web (CSSW), 2007) Riechert, Thomas; Lauenroth, Kim; Lehmann, JensRequirements Engineering ist eine erfolgsentscheidende Phase von Software-Entwicklungsprojekten, welche sich besonders dadurch auszeichnen, dass viele verschiedene Stakeholder gemeinsam Ziele, Szenarien und Anforderungen für das geplante System erheben. Neben der Entwicklung eines Vorgehens für ein semantisch unterstütztes Requirements Engineering, wurde eine Ontologie zur Abbildung anforderungsrelevanter Information entwickelt. Diese wird zusammen mit einem Wissensmodellierungs-Werkzeug, anhand eines realen Anwendungsfalls aus dem Bereich E-Government, beschrieben.
- KonferenzbeitragRDF Support in the Virtuoso DBMS(The Social Semantic Web 2007 – Proceedings of the 1st Conference on Social Semantic Web (CSSW), 2007) Erling, Orri; Mikhailov, IvanThis paper discusses RDF related work in the context of OpenLink Virtuoso, a general purpose relational / federated database and applications platform. We discuss adapting a relational engine for native RDF support with dedicated data types, bitmap indexing and SQL optimizer techniques. We further discuss mapping existing relational data into RDF for SPARQL access without converting the data into physical triples. We present conclusions and metrics as well as a number of use cases, from DBpedia to bio informatics and collaborative web applications.
- KonferenzbeitragDiscovering Unknown Connections – the DBpedia Relationship Finder(The Social Semantic Web 2007 – Proceedings of the 1st Conference on Social Semantic Web (CSSW), 2007) Lehmann, Jens; Schüppel, Jörg; Auer, SörenThe Relationship Finder is a tool for exploring connections between objects in a Semantic Web knowledge base. It offers a new way to get insights about ele- ments in an ontology, in particular for large amounts of instance data. For this reason, we applied the idea to the DBpedia data set, which contains an enormous amount of knowledge extracted from Wikipedia. We describe the workings of the Relationship Finder algorithm and present some interesting statistical discoveries about DBpedia and Wikipedia.
- KonferenzbeitragCollaborative Metadata for Geographic Information(The Social Semantic Web 2007 – Proceedings of the 1st Conference on Social Semantic Web (CSSW), 2007) Maué, PatrickRetrieval of web-based geographic information (GI) for spatial decision- making processes can benefit from emerging semantic technologies. Ontology-supported metadata, collaboratively created by a social network of spatially-aware users, ensures efficient and precise discovery of maps published with the help of catalogs. The creation and maintenance of the metadata is driven by two forces: on the one hand experienced catalogers who ensure consistency and quality, on the other hand catalog users who continuously adapt and extend the metadata. We discuss the requirements for a catalog for GI which is able to capture the semantics emerging within a community and apply the results to the registered metadata.
- KonferenzbeitragSemantische Aufbereitung von Dokumentenbeständen zur Gewinnung anforderungsrelevanter Informationen(The Social Semantic Web 2007 – Proceedings of the 1st Conference on Social Semantic Web (CSSW), 2007) Cyriaks, Haiko; Lohmann, Steffen; Stolz, Horst; Velioglu, Veli; Ziegler, JürgenBei der umfassenden Erhebung von Anforderungen muss häufig eine Vielzahl bereits vorhandener Dokumente berücksichtigt werden. Die Aufbereitung und Auswertung dieser Dokumente kann mit einem hohen Aufwand verbunden sein. Um diese Aktivitäten zu erleichtern, werden im SoftWiki-Ansatz Text Mining-Verfahren eingesetzt, die mittels statistischer und korpuslinguistischer Analysen Dokumentenbestände automatisiert vorverarbeiten. Es werden Worthäufigkeiten berechnet und statistisch signifikante Nachbarschafts- und Satz-Kookkurrenzen identifiziert. Das Ergebnis wird als RDF-Graph ausgegeben und in Form eines semantischen Netzes visualisiert. Hierdurch werden ein thematischer Überblick über den Dokumentenbestand und ein leichterer Zugriff auf Teile davon ermöglicht. Die Visualisierung und aktive Filtermöglichkeiten unterstützen die Identifizierung von anforderungsrelevanten Informationen.
- KonferenzbeitragMapping Cognitive Models to Social Semantic Spaces – Collaborative Development of Project Ontologies(The Social Semantic Web 2007 – Proceedings of the 1st Conference on Social Semantic Web (CSSW), 2007) Riechert, Thomas; Lohmann, SteffenIn this paper, we present an approach that applies concepts from the areas of Social Software and Semantic Web to application development. We start with a short introduction into Semantic Based Requirements Engineering. Then, we present an ontology for capturing requirements and related information. Based on this ontology, we describe how stakeholders are enabled to directly participate in requirements elicitation and to collaboratively create a project ontology. Finally, we report about the application of the presented approach in a use case from the e-government domain.
- KonferenzbeitragSemantic Wikipedia – Checking the Premises(The Social Semantic Web 2007 – Proceedings of the 1st Conference on Social Semantic Web (CSSW), 2007) Hammwöhner, RainerEnhancing Wikipedia by means of semantic representations seems to be a promising issue. From a formal or technical point of view there are no major obstacles in the way. Nevertheless, a close look at Wikipedia, its structure and contents reveals that some questions have to be answered in advance. This paper will deal with these questions and present some first results based on empirical findings.