Browsing-based conceptual information retrieval incorporating dictionary term relations, keyword association, and a user's interest

Makoto Nakashima; Keizo Sato; Yanhua Qu; Tetsuro Ito

doi:10.1002/asi.10173

Browsing-based conceptual information retrieval incorporating dictionary term relations, keyword association, and a user's interest

Journal of the American Society for Information Science and Technology ◽

10.1002/asi.10173 ◽

2002 ◽

Vol 54 (1) ◽

pp. 16-28 ◽

Cited By ~ 8

Author(s):

Makoto Nakashima ◽

Keizo Sato ◽

Yanhua Qu ◽

Tetsuro Ito

Keyword(s):

Information Retrieval ◽

Conceptual Information

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Retrieval performance in Ferret a conceptual information retrieval system

Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '91 ◽

10.1145/122860.122896 ◽

1991 ◽

Cited By ~ 12

Author(s):

Michael L. Mauldin

Keyword(s):

Information Retrieval ◽

Retrieval System ◽

Information Retrieval System ◽

Retrieval Performance ◽

Conceptual Information

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An Art of Review on Conceptual based Information Retrieval

Webology ◽

10.14704/web/v18si02/web18009 ◽

2021 ◽

Vol 18 (SI02) ◽

pp. 21-31

Author(s):

P. Mahalakshmi ◽

N. Sabiyath Fathima

Keyword(s):

Information Retrieval ◽

Keyword Search ◽

Semantic Representation ◽

Research Work ◽

Semantic Search ◽

Future Research ◽

Conceptual Information ◽

Retrieval Systems ◽

User Query ◽

Information Retrieval Systems

Basically keywords are used to index and retrieve the documents for the user query in a conventional information retrieval systems. When more than one keywords are used for defining the single concept in the documents and in the queries, inaccurate and incomplete results were produced by keyword based retrieval systems. Additionally, manual interventions are required for determining the relationship between the related keywords in terms of semantics to produce the accurate results which have paved the way for semantic search. Various research work has been carried out on concept based information retrieval to tackle the difficulties that are caused by the conventional keyword search and the semantic search systems. This paper aims at elucidating various representation of text that is responsible for retrieving relevant search results, approaches along with the evaluation that are carried out in conceptual information retrieval, the challenges faced by the existing research to expatiate requirements of future research. In addition, the conceptual information that are extracted from the different sources for utilizing the semantic representation by the existing systems have been discussed.

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