Article

Algorithm Research about Textual Case Retrieval Based on Topic Words

Authors:

Yi Zhu,

Ying GuanAuthors Info & Claims

ISCC-C '13: Proceedings of the 2013 International Conference on Information Science and Cloud Computing Companion

Pages 875 - 880

https://doi.org/10.1109/ISCC-C.2013.35

Published: 07 December 2013 Publication History

Abstract

Several shortages of Boolean retrieval, such as ignorance of the semantic relations among words and inability to rank the retrieval results in order of importance, are found by analyzing the essence of traditional text retrieval, in view of which an improvement of algorithm optimization based on topic words is proposed. Through enriching topic words to structure keywords library, the semantic distance and similarity of keywords are calculated on the basis of semantic retrieval framework. The improved algorithm is applied in the disaster case retrieval system at last, which retrieval results are then analyzed to detect performance. It is observed that the improved algorithm has a better improvement in retrieval both in precision rate and recall rate.

Algorithm Research about Textual Case Retrieval Based on Topic Words
1. Information systems

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ISCC-C '13: Proceedings of the 2013 International Conference on Information Science and Cloud Computing Companion

December 2013

886 pages

ISBN:9781479952458

Publisher

IEEE Computer Society

United States

Publication History

Published: 07 December 2013

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Abstract

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Enhancing Concept-Based Retrieval Based onMinimal Term Sets

ADAM: a system for jointly providing ir and database queries in large-scale multimedia retrieval

Multimedia retrieval by means of merge of results from textual and content based retrieval subsystems

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