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Title page for etd-0723108-222434


URN etd-0723108-222434 Statistics This thesis had been viewed 2069 times. Download 15 times.
Author Pin-siou Jhuo
Author's Email Address No Public.
Department Information Management
Year 2007 Semester 2
Degree Master Type of Document Master's Thesis
Language English Page Count 56
Title A STUDY OF INFERENCE-BASED SEMANTIC SEARCH
Keyword
  • Inference Rule
  • Faceted Classification
  • Semantic Search
  • Folksonomy
  • Ontology
  • Semantic Web
  • Semantic Web
  • Ontology
  • Folksonomy
  • Semantic Search
  • Faceted Classification
  • Inference Rule
  • Abstract Semantic Search has become an active research of Semantic Web in the recent years. The methodology of classification plays a pretty critical role in search process, because it can disambiguate irrelevant information in the beginning of process period. However, the applications related to Folksonomy suffer from much obstruction. Fortunately, It is possible to utilize an existing semantic technology?Description Logic to eliminate the problems resulted from Folksonomy. On the other hand, how to effectively utilize heterogeneous ontologies over the Internet to gain the integrity of domain knowledge is also our research objective. In this thesis a faceted logic layer is abstracted in order to organize existing available ontologies according to the methodology of Faceted Classification while using rules to replace its notation. First of all, the category framework is strengthened by thoroughly control hierarchical or parts-whole relationships between categories. Following that, a faceted logic layer is abstracted according to a series of steps we proposed. The implementation result demonstrated that our approach can facilitate the integration of inconsistent or even heterogeneous ontologies. Additionally, this thesis also generalizes the principles of picking appropriate facets. The developed facet browser completely complies with these principles so that better semantic search result can be obtained.
    Advisor Committee
  • Yung-hsin Wang - advisor
  • Ching-long Yeh - co-chair
  • Tsung Teng Chen - co-chair
  • Files indicate in-campus access only
    Date of Defense 2008-06-30 Date of Submission 2008-07-24


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