Exploring Semantic Characteristics of Socially Constructed Knowledge Repository to Optimize Web Search
Short-term queries preferred by most users often result in a list of Web search results with low precision from a user perspective. The purpose of this research is to improve the relevance of Web search results via search-term disambiguation and ontological filtering of search results based on socia...
| Main Authors: | , |
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| Format: | Book Chapter |
| Published: |
Information Science Reference (an imprint of IGI Global)
2012
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| Online Access: | http://hdl.handle.net/20.500.11937/27985 |
| _version_ | 1848752414834819072 |
|---|---|
| author | Zhu, Dengya Dreher, Heinz |
| author_facet | Zhu, Dengya Dreher, Heinz |
| author_sort | Zhu, Dengya |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Short-term queries preferred by most users often result in a list of Web search results with low precision from a user perspective. The purpose of this research is to improve the relevance of Web search results via search-term disambiguation and ontological filtering of search results based on socially constructed search concepts. A Special Search Browser (SSB) is developed where semantic characteristics of the socially constructed knowledge repository are extracted to form a category-document set. kNN is employed with the extracted category-documents as training data to classify Web results. Users’ selected categories are employed to present the search results. Experimental results based on five experts’ judgments over 250 hits from Yahoo! API demonstrate that utilizing the socially constructed search concepts to categorize and filter search results can improve precision by 23.5%, from Yahoo’s 41.7% to 65.2% of SSB based on the results of five selected ambiguous search-terms. |
| first_indexed | 2025-11-14T08:08:15Z |
| format | Book Chapter |
| id | curtin-20.500.11937-27985 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:08:15Z |
| publishDate | 2012 |
| publisher | Information Science Reference (an imprint of IGI Global) |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-279852017-01-30T13:02:24Z Exploring Semantic Characteristics of Socially Constructed Knowledge Repository to Optimize Web Search Zhu, Dengya Dreher, Heinz Short-term queries preferred by most users often result in a list of Web search results with low precision from a user perspective. The purpose of this research is to improve the relevance of Web search results via search-term disambiguation and ontological filtering of search results based on socially constructed search concepts. A Special Search Browser (SSB) is developed where semantic characteristics of the socially constructed knowledge repository are extracted to form a category-document set. kNN is employed with the extracted category-documents as training data to classify Web results. Users’ selected categories are employed to present the search results. Experimental results based on five experts’ judgments over 250 hits from Yahoo! API demonstrate that utilizing the socially constructed search concepts to categorize and filter search results can improve precision by 23.5%, from Yahoo’s 41.7% to 65.2% of SSB based on the results of five selected ambiguous search-terms. 2012 Book Chapter http://hdl.handle.net/20.500.11937/27985 Information Science Reference (an imprint of IGI Global) restricted |
| spellingShingle | Zhu, Dengya Dreher, Heinz Exploring Semantic Characteristics of Socially Constructed Knowledge Repository to Optimize Web Search |
| title | Exploring Semantic Characteristics of Socially Constructed Knowledge Repository to Optimize Web Search |
| title_full | Exploring Semantic Characteristics of Socially Constructed Knowledge Repository to Optimize Web Search |
| title_fullStr | Exploring Semantic Characteristics of Socially Constructed Knowledge Repository to Optimize Web Search |
| title_full_unstemmed | Exploring Semantic Characteristics of Socially Constructed Knowledge Repository to Optimize Web Search |
| title_short | Exploring Semantic Characteristics of Socially Constructed Knowledge Repository to Optimize Web Search |
| title_sort | exploring semantic characteristics of socially constructed knowledge repository to optimize web search |
| url | http://hdl.handle.net/20.500.11937/27985 |