Intelligent Retrieval Model: Object Oriented Search Methodology on Web

Dr. Pushpa R. Suri; Harmunish Taneja2

Intelligent Retrieval Model: Object Oriented Search Methodology on Web

Dr. Pushpa R. Suri * §

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Harmunish Taneja2

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§ Maharishi Markandeshwar University, Mullana, Ambala,...

Intelligent Retrieval Model: Object Oriented Search Methodology on Web

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Abstract

Information handling through improved search mechanisms is and will remain the driving force behind rich patterns of access to web contents. Keyword search offers only an imperfect solution to information discovery over web as it misses many relevant documents of today’s users. By its fundamental nature, keyword search is sharply focused to find the exact terms specified in the query. The proposed Intelligent Retrieval Model exploits the object oriented concepts for information representation. This kind of conceptual modeling of web based inheritance boosts data structuring flexibility and caters to the density of diverse web information needs. The guiding principle of proposed model for intelligent retrieval over World Wide Web is the adequate representation of relevant complex relationships between the various entities in the real world. The result approves better hierarchical relationship recognition among web objects leading to less complex computing.

References

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. Pushpa R. Suri, Harmunish Taneja2. . "Intelligent Retrieval Model: Object Oriented Search Methodology on Web". Global Journal of Computer Science and Technology GJCST Volume 11 (GJCST Volume 11 Issue 14).

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GJCST Volume 11 Issue 14

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Information Computing Inheritance Intelligent Retrieval Model (IRM)World Wide Web (WWW)

Classification

GJCST Classification D.1

D.2.1

F.2.2

H.3

Submission ReceivedJune 21, 2011
Peer Review Double Blind
Handling Editor
Accepted July 18, 2011
Published July 28, 2011

Version of record

v1.2

Issue date

August 2, 2011

Language

English

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Article Matrices

Total Score: 147

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Dr. Dr. Pushpa R. Suri,Harmunish Taneja2 (PhD/Dr. count: 1)

View Count (all-time): 271

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Publish Date: 2011 07, Thu

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Total Views: 7.2K

Total Downloads: 494

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