A Theoretical Approach For Developing A Semantic Analysis IIR Tool

Abimbola, Bola

doi:10.2139/ssrn.3809428

Cited by 1 publication

(2 citation statements)

References 8 publications

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“…Average precisions (Q) = sum (precisions @ retrieved relevant data) number o f retrieved relevant data (8) https://www.indjst.org/ Mean average precision refers to the average of average precision values for a set of query and can represent as below.…”

Section: Precision P = Number O F Retrieved Relevant Data Number O F Retrieved Data (7)mentioning

confidence: 99%

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Refining Search Performance through Semantic based CBR Model and QoS Ranking Methodology

Palaniammal¹

2021

IJST

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Objectives: To refine search performance using semantic web with an improved algorithm to retrieve the information efficiently. Methods: In order to establish the SCBR model and improve the performance of Web search, this paper adopts the Natural Language Processing (NLP) technology and the Quality of Service (QoS) ranking method, and endeavors to develop a relevant reliable and efficient search engine. Findings: Mean average precision tests revealed for quickness and precious of search results, and achieves the values from 82.98% to 99.53%. The experimental results show that the NLP technique improves the performance of SCBR model, and achieves higher average precision and recall values. Novelty: This research focuses to develop a related reliable and an efficient search engine to retrieve the accurate results for the user's complex query. It even bears the human error in typing, and suggests the expected word to search for. It also aims to retrieving the same result for synonym words which prevent the appearance of irrelevant search results.

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Section: Precision P = Number O F Retrieved Relevant Data Number O F Retrieved Data (7)mentioning

confidence: 99%

“…These methods are classified according to the creative forms of patterns and rules: automatic or manual. Automatic methods (7)(8)(9)(10)(11)(12) are superior compared to the manual ones considering the effort spent on the domain. On the other hand, they suffer from low precision-recall rates.…”

Section: Introductionmentioning

confidence: 99%

Refining Search Performance through Semantic based CBR Model and QoS Ranking Methodology

Palaniammal¹

2021

IJST

View full text Add to dashboard Cite

show abstract

A Theoretical Approach For Developing A Semantic Analysis IIR Tool

Cited by 1 publication

References 8 publications

Refining Search Performance through Semantic based CBR Model and QoS Ranking Methodology

Refining Search Performance through Semantic based CBR Model and QoS Ranking Methodology

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