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  • × theme_ss:"Semantic Web"
  1. Stojanovic, N.: Ontology-based Information Retrieval : methods and tools for cooperative query answering (2005) 0.05 
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    Content
    Vgl.: http%3A%2F%2Fdigbib.ubka.uni-karlsruhe.de%2Fvolltexte%2Fdocuments%2F1627&ei=tAtYUYrBNoHKtQb3l4GYBw&usg=AFQjCNHeaxKkKU3-u54LWxMNYGXaaDLCGw&sig2=8WykXWQoDKjDSdGtAakH2Q&bvm=bv.44442042,d.Yms.
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  2. Zeng, M.L.; Fan, W.; Lin, X.: SKOS for an integrated vocabulary structure (2008) 0.04 
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    Abstract
    In order to transfer the Chinese Classified Thesaurus (CCT) into a machine-processable format and provide CCT-based Web services, a pilot study has been conducted in which a variety of selected CCT classes and mapped thesaurus entries are encoded with SKOS. OWL and RDFS are also used to encode the same contents for the purposes of feasibility and cost-benefit comparison. CCT is a collected effort led by the National Library of China. It is an integration of the national standards Chinese Library Classification (CLC) 4th edition and Chinese Thesaurus (CT). As a manually created mapping product, CCT provides for each of the classes the corresponding thesaurus terms, and vice versa. The coverage of CCT includes four major clusters: philosophy, social sciences and humanities, natural sciences and technologies, and general works. There are 22 main-classes, 52,992 sub-classes and divisions, 110,837 preferred thesaurus terms, 35,690 entry terms (non-preferred terms), and 59,738 pre-coordinated headings (Chinese Classified Thesaurus, 2005) Major challenges of encoding this large vocabulary comes from its integrated structure. CCT is a result of the combination of two structures (illustrated in Figure 1): a thesaurus that uses ISO-2788 standardized structure and a classification scheme that is basically enumerative, but provides some flexibility for several kinds of synthetic mechanisms Other challenges include the complex relationships caused by differences of granularities of two original schemes and their presentation with various levels of SKOS elements; as well as the diverse coordination of entries due to the use of auxiliary tables and pre-coordinated headings derived from combining classes, subdivisions, and thesaurus terms, which do not correspond to existing unique identifiers. The poster reports the progress, shares the sample SKOS entries, and summarizes problems identified during the SKOS encoding process. Although OWL Lite and OWL Full provide richer expressiveness, the cost-benefit issues and the final purposes of encoding CCT raise questions of using such approaches.
    Source
    Metadata for semantic and social applications : proceedings of the International Conference on Dublin Core and Metadata Applications, Berlin, 22 - 26 September 2008, DC 2008: Berlin, Germany / ed. by Jane Greenberg and Wolfgang Klas
  3. Dextre Clarke, S.G.: Challenges and opportunities for KOS standards (2007) 0.02 
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    Date
    22. 9.2007 15:41:14
  4. Staab, S.: ¬Der Weg ins "Semantic Web" ist ein Schichtenmodell (2002) 0.02 
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    Content
    "Wie kann man semantische Informationen übermitteln? Die Antwort auf diese Frage ist - zur großen Verwunderung Vieler - nicht einfach XML. Die Standardsprache XML (mit ihren verschiedenen Add-Ons wie Xlink, Xpath) wird heutzutage vielfach benutzt, um Informationen zu übermitteln (etwa mittels XML/EDI für B2B-Transaktionen). Obwohl sie dabei bereits eine deutliche Erleichterung verschafft im Vergleich zu früheren ideosynkratischen Mechanismen (z.B. EDIFACT), ist XML per se nur bedingt geeignet, um semantische Zusammenhänge auszudrücken. Die Struktur eines XMLDokuments ist nicht gleichzusetzen mit der Semantik der darin enthaltenen Informationsbestandteile. Die Schemasprachen DTD (Document Type Definition) und XML-Schema sind zu schwach, um alle semantischen Zusammenhänge zu transportieren. Zur Lösung des Problems wurde ein Schichtenmodell konzipiert. Es baut auf den existierenden Standards für XML mit den Namespace-Mechanismen und XMLSchemadefinitionen auf, um Informationen auf syntaktischer Ebene zu transportieren. Allerdings wird die Ausdrucksfähigkeit von XML deutlich erweitert. Der Erweiterung liegt der Standard RDF (Ressource Description Framework) zugrunde. Mit diesem Ansatz können komplexe Aussagen über Tripel modelliert werden. "Alexander glaubt, dass Andreas ein Experte im Clustering ist", wird repräsentiert durch "Alexander glaubt X",X ist eine Aussage", "Das Subjekt von X ist Andreas",das Prädikat von X ist Experteln" und "das Objekt von X ist Clustering". Jede Ressource wird durch ein URI (Uniform Ressource Identifier) repräsentiert, z.B. wäre für Andreas www.aifb.unikarlsruhe.de/WBS/aho eine mögliche URI. Mit RDF Schema können darüber hinaus Gattungshierarchien aufgebaut werden, etwa um auszudrücken: "Andreas ist ein Experte" oder - exakter dargestellt - "Das Ding" hinter www.aifb.unikarlsruhe.de/WBS/aho ist ein Experte". Die darauf folgenden Ebenen des Schichtenmodells befassen sich mit einer zunehmend feineren Darstellung von inhaltlichen Beziehungen. Zum Beispiel umfassen semantische Technologien sogenannte "Ontologien", die für ein Fachgebiet nicht nur Kategorisierungen, sondern auch Regeln beschreiben. Mit ontologischen Regelmechanismen lassen sich auch implizite Verknüpfungen erkennen."
  5. Call, A.; Gottlob, G.; Pieris, A.: ¬The return of the entity-relationship model : ontological query answering (2012) 0.02 
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    Abstract
    The Entity-Relationship (ER) model is a fundamental formalism for conceptual modeling in database design; it was introduced by Chen in his milestone paper, and it is now widely used, being flexible and easily understood by practitioners. With the rise of the Semantic Web, conceptual modeling formalisms have gained importance again as ontology formalisms, in the Semantic Web parlance. Ontologies and conceptual models are aimed at representing, rather than the structure of data, the domain of interest, that is, the fragment of the real world that is being represented by the data and the schema. A prominent formalism for modeling ontologies are Description Logics (DLs), which are decidable fragments of first-order logic, particularly suitable for ontological modeling and querying. In particular, DL ontologies are sets of assertions describing sets of objects and (usually binary) relations among such sets, exactly in the same fashion as the ER model. Recently, research on DLs has been focusing on the problem of answering queries under ontologies, that is, given a query q, an instance B, and an ontology X, answering q under B and amounts to compute the answers that are logically entailed from B by using the assertions of X. In this context, where data size is usually large, a central issue the data complexity of query answering, i.e., the computational complexity with respect to the data set B only, while the ontology X and the query q are fixed.
  6. Urro, R.; Winiwarter, W.: Specifying ontologies : Linguistic aspects in problem-driven knowledge engineering (2001) 0.02 
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    Abstract
    The WWW includes on various levels systems of signs, not all of which are standardized as necessary for a real Semantic Web and not all of which can be standardized. Linguistic theories can contribute not only to the thus needed translation between sign systems, be they natural language systems or otherwise structured systems of knowledge representation, but also, of course, to standardization efforts. Within the current EC3 research framework for x-commerce, linguistic theories will play their part as they provide modeling analogies and patterns for the construction of a central knowledge base.
    Isbn
    0-7695-1393-X
  7. Broughton, V.: Automatic metadata generation : Digital resource description without human intervention (2007) 0.02 
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    Date
    22. 9.2007 15:41:14
  8. Tudhope, D.: Knowledge Organization System Services : brief review of NKOS activities and possibility of KOS registries (2007) 0.02 
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    22. 9.2007 15:41:14
  9. Cahier, J.-P.; Ma, X.; Zaher, L'H.: Document and item-based modeling : a hybrid method for a socio-semantic web (2010) 0.02 
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  10. Wagner, S.: Barrierefreie und thesaurusbasierte Suchfunktion für das Webportal der Stadt Nürnberg (2007) 0.02 
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  11. Ehlen, D.: Semantic Wiki : Konzeption eines Semantic MediaWiki für das Reallexikon zur Deutschen Kunstgeschichte (2010) 0.02 
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  12. Papadakis, I. et al.: Highlighting timely information in libraries through social and semantic Web technologies (2016) 0.02 
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    Source
    Metadata and semantics research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Eds.: E. Garoufallou
  13. Schäfer, D.: Konzeption, prototypische Implementierung und Evaluierung eines RDF-basierten Bibliothekskatalogs für Online-Dissertationen (2008) 0.01 
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  14. Hüsken, P.: Information Retrieval im Semantic Web (2006) 0.01 
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  15. Aufreiter, M.: Informationsvisualisierung und Navigation im Semantic Web (2008) 0.01 
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  16. Smith, D.A.: Exploratory and faceted browsing over heterogeneous and cross-domain data sources. (2011) 0.01 
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  17. Kara, S.: ¬An ontology-based retrieval system using semantic indexing (2012) 0.01 
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  18. Synak, M.; Dabrowski, M.; Kruk, S.R.: Semantic Web and ontologies (2009) 0.01 
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    Date
    31. 7.2010 16:58:22
  19. Eckert, K.: SKOS: eine Sprache für die Übertragung von Thesauri ins Semantic Web (2011) 0.01 
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