원문정보
초록
영어
Since information systems for providing only Boolean search do not provide prioritized search result, users have to carry out time-consuming checking for lots of results one by one. The method proposed in this study is to provide search result prioritized by using coupling information between tags instead of index weight information in Boolean search. Since document queries are used instead of general user queries, key tags to be used as queries in a relevant document are extracted. A variety of groups of Boolean queries depending on tag couplings are created in the process of creating queries, and prioritization is processed by means of differentiation information between relevant query groups, and tag significance information in the process of matching. The proposed method was applied to the process of finding related trend analysis information for the emerging technology information consisting of 1500 technologies to prove the usability of the proposed method.
목차
1. Introduction
2. Tag-based Boolean Search
2.1. Introduction to Tag-based Boolean Search
2.2. Constructing Tag-based Boolean Query Sets
2.3. Result Matching for Composite Query Created on The Basis of Tags
3. Experimental Results
3.1. Experiment Environment
3.2. Extracting Key Tag Words
3.3. Selecting Sub-query Parameters
3.4. Running Sub-queries
4. Conclusion
Acknowledgements
References