Exploiting Ontologies for Search Result Diversification
DELAWARE UNIV NEWARK DEPT OF ELECTRICAL AND COMPUTER ENGINEERING
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We report our systems and experimental results in the diversity task of web track 2012. Our goal is to exploit the structured data, i.e., the ontologies, as well as unstructured data for search result diversification. We use two strategies in the diversification systems. The first strategy combines the ontology and unstructured data to extract integrated subtopics. It then uses the coverage based diversification function to diversify documents based on the integrated subtopics. The second strategy exploits the structure information in the ontology for diversification. We use a structural diversification to diversify documents based on the structural relationships of their subtopics in the ontology.
- Information Science