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  • × author_ss:"Stuckenschmidt, H."
  1. Stuckenschmidt, H.; Harmelen, F. van: Information sharing on the semantic web (2005) 0.01
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    Abstract
    Das wachsende Informationsvolumen im WWW führt paradoxerweise zu einer immer schwierigeren Nutzung, das Finden und Verknüpfen von Informationen in einem unstrukturierten Umfeld wird zur Sisyphosarbeit. Hier versprechen Semantic-Web-Ansätze Abhilfe. Die Autoren beschreiben Technologien, wie eine semantische Integration verteilter Daten durch verteilte Ontologien erreicht werden kann. Diese Techniken sind sowohl für Forscher als auch für Professionals interessant, die z.B. die Integration von Produktdaten aus verteilten Datenbanken im WWW oder von lose miteinander verbunden Anwendungen in verteilten Organisationen implementieren sollen.
    Classification
    ST 515 Informatik / Monographien / Einzelne Anwendungen der Datenverarbeitung / Wirtschaftsinformatik / Wissensmanagement, Information engineering
    LCSH
    Ontologies (Information retrieval)
    RSWK
    Semantic Web / Ontologie <Wissensverarbeitung> / Information Retrieval / Verteilung / Metadaten / Datenintegration
    RVK
    ST 515 Informatik / Monographien / Einzelne Anwendungen der Datenverarbeitung / Wirtschaftsinformatik / Wissensmanagement, Information engineering
    Series
    Advanced information and knowledge processing
    Subject
    Semantic Web / Ontologie <Wissensverarbeitung> / Information Retrieval / Verteilung / Metadaten / Datenintegration
    Ontologies (Information retrieval)
  2. Stuckenschmidt, H.: Ontologien : Konzepte, Technologien und Anwendungen (2009) 0.01
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    Abstract
    Ontologien haben durch die aktuellen Entwicklungen des Semantic Web große Beachtung erfahren, da jetzt Technologien bereitgestellt werden, die eine Verwendung von Ontologien in Informationssystemen ermöglichen. Beginnend mit den grundlegenden Konzepten und Ideen von Ontologien, die der Philosophie und Linguistik entstammen, stellt das Buch den aktuellen Stand der Technik im Bereich unterstützender Technologien aus der Semantic Web Forschung dar und zeigt vielversprechende Anwendungsbiete auf.
  3. Pfeffer, M.; Eckert, K.; Stuckenschmidt, H.: Visual analysis of classification systems and library collections (2008) 0.00
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    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  4. Stuckenschmidt, H.; Harmelen, F van; Waard, A. de; Scerri, T.; Bhogal, R.; Buel, J. van; Crowlesmith, I.; Fluit, C.; Kampman, A.; Broekstra, J.; Mulligen, E. van: Exploring large document repositories with RDF technology : the DOPE project (2004) 0.00
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    Abstract
    This thesaurus-based search system uses automatic indexing, RDF-based querying, and concept-based visualization of results to support exploration of large online document repositories. Innovative research institutes rely on the availability of complete and accurate information about new research and development. Information providers such as Elsevier make it their business to provide the required information in a cost-effective way. The Semantic Web will likely contribute significantly to this effort because it facilitates access to an unprecedented quantity of data. The DOPE project (Drug Ontology Project for Elsevier) explores ways to provide access to multiple lifescience information sources through a single interface. With the unremitting growth of scientific information, integrating access to all this information remains an important problem, primarily because the information sources involved are so heterogeneous. Sources might use different syntactic standards (syntactic heterogeneity), organize information in different ways (structural heterogeneity), and even use different terminologies to refer to the same information (semantic heterogeneity). Integrated access hinges on the ability to address these different kinds of heterogeneity. Also, mental models and keywords for accessing data generally diverge between subject areas and communities; hence, many different ontologies have emerged. An ideal architecture must therefore support the disclosure of distributed and heterogeneous data sources through different ontologies. To serve this need, we've developed a thesaurus-based search system that uses automatic indexing, RDF-based querying, and concept-based visualization. We describe here the conversion of an existing proprietary thesaurus to an open standard format, a generic architecture for thesaurus-based information access, an innovative user interface, and results of initial user studies with the resulting DOPE system.
  5. Eckert, K.; Pfeffer, M.; Stuckenschmidt, H.: Assessing thesaurus-based annotations for semantic search applications (2008) 0.00
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    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  6. Euzenat, J.; Meilicke, C.; Stuckenschmidt, H.; Shvaiko, P.; Trojahn, C.: Ontology alignment evaluation initiative : six years of experience (2011) 0.00
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    Abstract
    In the area of semantic technologies, benchmarking and systematic evaluation is not yet as established as in other areas of computer science, e.g., information retrieval. In spite of successful attempts, more effort and experience are required in order to achieve such a level of maturity. In this paper, we report results and lessons learned from the Ontology Alignment Evaluation Initiative (OAEI), a benchmarking initiative for ontology matching. The goal of this work is twofold: on the one hand, we document the state of the art in evaluating ontology matching methods and provide potential participants of the initiative with a better understanding of the design and the underlying principles of the OAEI campaigns. On the other hand, we report experiences gained in this particular area of semantic technologies to potential developers of benchmarking for other kinds of systems. For this purpose, we describe the evaluation design used in the OAEI campaigns in terms of datasets, evaluation criteria and workflows, provide a global view on the results of the campaigns carried out from 2005 to 2010 and discuss upcoming trends, both specific to ontology matching and generally relevant for the evaluation of semantic technologies. Finally, we argue that there is a need for a further automation of benchmarking to shorten the feedback cycle for tool developers.