EFFICIENT QUERY KEYWORD INTERPRETATION FOR SEMANTIC INFORMATION RETRIEVAL

被引：0

作者：

Setia, Sonia ^{[1
]}

Verma, Jyoti ^{[1
]}

Duhan, Neelam ^{[1
]}

机构：

[1] JC Bose Univ Sci & Technol, Dept Comp Engn, YMCA, Faridabad, India

来源：

IIOAB JOURNAL | 2020年 / 11卷 / 02期

关键词：

Information Retrieval; Semantic-based IR; Taxonomy; categorization; keyword-based IR;

D O I：

暂无

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

Due to vast information available over the World Wide Web and its unstructured nature it is becoming more difficult to get relevant information. Currently, information retrieval techniques are keyword based. They do not finally capture the semantic meaning of a query keyword. To overcome this problem, conceptual knowledge to information retrieval has been introduced by means of taxonomy. In this paper, a semantic information retrieval mechanism has been presented which translates query keywords to categories belonging to a taxonomy. A hybrid similarity method has been proposed which finds the closest category corresponding to a keyword using a thesaurus like WordNet. Evaluation of the proposed approach has been done for semantic based declarative querying process which shows better results in terms of precision, recall and F-measure.

引用

页码：64 / 68

页数：5

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