An Ontology-based Adaptive Semantic Search
碩士 === 國立交通大學 === 資訊管理研究所 === 93 === When facing a lengthy list of search results, people often limit themselves to the top ten items on the list although there may be more useful information after the top ten items. As a result, the improvement of the search experience should be measured in terms...
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| Format: | Others |
| Language: | en_US |
| Online Access: | http://ndltd.ncl.edu.tw/handle/66870310852638458736 |
| Summary: | 碩士 === 國立交通大學 === 資訊管理研究所 === 93 === When facing a lengthy list of search results, people often limit themselves to the top ten items on the list although there may be more useful information after the top ten items. As a result, the improvement of the search experience should be measured in terms of the precision rate of the top portion of the list.
We propose an ontology-based adaptive semantic search to significantly improve the search experience. To capture the semantic difference of search terms, naïve ontology is used to store the relationship among terms. Before a search term is processed by the search engine Lucene, the related words of the search term are selected from ontology structures to form new query phrases in the process of query expansion. The weighting of the expanded query phrases is dynamically learned by observing the users’ clicking behavior.
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