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  • × theme_ss:"Semantic Web"
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  1. Stojanovic, N.: Ontology-based Information Retrieval : methods and tools for cooperative query answering (2005) 0.10
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    Abstract
    By the explosion of possibilities for a ubiquitous content production, the information overload problem reaches the level of complexity which cannot be managed by traditional modelling approaches anymore. Due to their pure syntactical nature traditional information retrieval approaches did not succeed in treating content itself (i.e. its meaning, and not its representation). This leads to a very low usefulness of the results of a retrieval process for a user's task at hand. In the last ten years ontologies have been emerged from an interesting conceptualisation paradigm to a very promising (semantic) modelling technology, especially in the context of the Semantic Web. From the information retrieval point of view, ontologies enable a machine-understandable form of content description, such that the retrieval process can be driven by the meaning of the content. However, the very ambiguous nature of the retrieval process in which a user, due to the unfamiliarity with the underlying repository and/or query syntax, just approximates his information need in a query, implies a necessity to include the user in the retrieval process more actively in order to close the gap between the meaning of the content and the meaning of a user's query (i.e. his information need). This thesis lays foundation for such an ontology-based interactive retrieval process, in which the retrieval system interacts with a user in order to conceptually interpret the meaning of his query, whereas the underlying domain ontology drives the conceptualisation process. In that way the retrieval process evolves from a query evaluation process into a highly interactive cooperation between a user and the retrieval system, in which the system tries to anticipate the user's information need and to deliver the relevant content proactively. Moreover, the notion of content relevance for a user's query evolves from a content dependent artefact to the multidimensional context-dependent structure, strongly influenced by the user's preferences. This cooperation process is realized as the so-called Librarian Agent Query Refinement Process. In order to clarify the impact of an ontology on the retrieval process (regarding its complexity and quality), a set of methods and tools for different levels of content and query formalisation is developed, ranging from pure ontology-based inferencing to keyword-based querying in which semantics automatically emerges from the results. Our evaluation studies have shown that the possibilities to conceptualize a user's information need in the right manner and to interpret the retrieval results accordingly are key issues for realizing much more meaningful information retrieval systems.
    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.
    Footnote
    Zur Erlangung des akademischen Grades eines Doktors der Wirtschaftswissenschaften (Dr. rer. pol.) von der Fakultaet fuer Wirtschaftswissenschaften der Universitaet Fridericiana zu Karlsruhe genehmigte Dissertation.
    Imprint
    Karlsruhe : Fakultaet fuer Wirtschaftswissenschaften der Universitaet Fridericiana zu Karlsruhe
  2. Ehlen, D.: Semantic Wiki : Konzeption eines Semantic MediaWiki für das Reallexikon zur Deutschen Kunstgeschichte (2010) 0.00
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    Abstract
    Wikis sind ein geeignetes Mittel zur Umsetzung von umfangreichen Wissenssammlungen wie Lexika oder Enzyklopädien. Bestes Beispiel dafür bildet die weltweit erfolgreiche freie On-line-Enzyklopadie Wikipedia. Jedoch ist es mit konventionellen Wiki-Umgebungen nicht moglich das Potential der gespeicherten Texte vollends auszuschopfen. Eine neue Möglichkeit bieten semantische Wikis, deren Inhalte mithilfe von maschinenlesbaren Annotationen semantische Bezüge erhalten. Die hier vorliegende Bachelorarbeit greift dies auf und überführt Teile des "Reallexikons zur deutschen Kunstgeschichte" in ein semantisches Wiki. Aufgrund einer Semantic MediaWiki-Installation soll uberpruft werden, inwieweit die neue Technik fur die Erschließung des Lexikons genutzt werden kann. Mit einem Beispiel-Wiki für das RdK auf beigefügter CD.
  3. Meyer, A.: Begriffsrelationen im Kategoriensystem der Wikipedia : Entwicklung eines Relationeninventars zur kollaborativen Anwendung (2010) 0.00
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    Abstract
    Neben den bekannten Hyperlinks in Artikeltexten verfügt die Online-Enzyklopädie Wikipedia mit ihrem Kategoriensystem über ein weiteres Mittel zur Herstellung von Relationen zwischen Artikeln. Jeder Artikel ist einer oder mehreren Kategorien zugeordnet, die ihrerseits anderen Kategorien zugeordnet sind. Auf diese Weise entsteht eine systematische Ordnung von Artikeln und Kategorien. Betrachtet man nur die Artikel- und Kategoriennamen sowie diese Relationen, so stellt das Kategoriensystem ein gemeinschaftlich erstelltes Begriffssystem dar, das sämtliche von der Wikipedia abgedeckten Themenbereiche umfasst, jedoch - technisch betrachtet - ausschließlich hierarchische Relationen enthält. Aufgrund des Fehlens eines differenzierten Regelwerks zur Kategorisierung ist das Kategoriensystem derzeit jedoch inkonsistent, daneben sind, bedingt durch das Vorhandensein lediglich eines Relationstyps, viele Relationen wenig aussagekräftig. Dennoch besteht das Potenzial zur Schaffung eines stark und differenziert relationierten Begriffssystems aus dem bestehenden Kategoriensystem heraus. Die vorliegende Arbeit diskutiert die Anwendungsmöglichkeiten eines solchen Begriffssystems und die Option seiner gemeinschaftlichen Entwicklung aus dem bestehenden Vokabular des Kategoriensystems, mithin also der gemeinschaftlichen Relationierung von Begriffen anhand eines differenzierten Relationeninventars. Ausgehend von den Kategorien "Theater" und "Jagd" der deutschsprachigen Wikipedia wird ein hierarchisch strukturiertes Relationeninventar definiert, das sowohl spezifische als auch allgemeine Relationstypen enthält und damit die Möglichkeit zur Übertragung auf andere Gegenstandsbereiche bietet. Sämtliche Artikel- und Kategoriennamen, die unterhalb jener Kategorien erscheinen, werden unter Verwendung der neu entwickelten Relationstypen als Deskriptoren relationiert.
  4. Kara, S.: ¬An ontology-based retrieval system using semantic indexing (2012) 0.00
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    Abstract
    In this thesis, we present an ontology-based information extraction and retrieval system and its application to soccer domain. In general, we deal with three issues in semantic search, namely, usability, scalability and retrieval performance. We propose a keyword-based semantic retrieval approach. The performance of the system is improved considerably using domain-specific information extraction, inference and rules. Scalability is achieved by adapting a semantic indexing approach. The system is implemented using the state-of-the-art technologies in SemanticWeb and its performance is evaluated against traditional systems as well as the query expansion methods. Furthermore, a detailed evaluation is provided to observe the performance gain due to domain-specific information extraction and inference. Finally, we show how we use semantic indexing to solve simple structural ambiguities.
    Type
    a

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