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A 3-tuple information retrieval query interface with ontology based ranking

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2 Author(s)
Jinwoo Kim ; Comput. Sci. Dept., Univ. of Southern California, Los Angeles, CA, USA ; McLeod, D.

Currently keyword search is a prominent data retrieval method for the Web because the simple and efficient nature of the keyword processing allows it to process a large amount of information with fast response. However, keyword search approaches do not formally capture the clear meaning of a keyword query and fail to address the semantic relationships between keywords. As a result, its recall rate and precision rate are often unsatisfactory, and therefore its ranking algorithms fail to properly reflect the semantic relevance of keywords. This means that the accuracy (the precision and the recall rate) of search results is often low. Therefore, we proposed a new 3-tuple query interface and corresponding ranking algorithm. And we presented a comparison of the search accuracy of our new query interface and conventional search approaches.

Published in:

Information Reuse and Integration (IRI), 2012 IEEE 13th International Conference on

Date of Conference:

8-10 Aug. 2012