Intelligent Information Retrieval for Web-Based Design Data Repository

Lee, Huijae; Yoo, Sang Bong

doi:10.1007/11425274_56

Cited by 4 publications

(1 citation statement)

References 7 publications

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“…• Li et al (2004) presented the ontology-based intelligent information retrieval system that speedy obtain the relevant information during the search. Lee and Yoo (2005) developed a system of intelligent information retrieval for Web-based design data repository and identified the knowledge (metadata and ontology) that helps users or application systems share product data in a virtual and distributed environment. Ying et al (2007) provided a prototype of an intelligent information retrieval system based on ontology that described the computer graphics course knowledge.…”

Section: Related Research and Motivationmentioning

confidence: 99%

Need of Intelligent Search in Dynamic Social Network

Sonkar

Bhatnagar²,

Challa

2015

Information Resources Management Journal

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The user of dynamic social network does not require irrelevant and vast amount of information during a search. A need of an intelligent search is required to get the reduced, filtered and relevant information that is achieved using an intelligent information retrieval and web mining. In this paper, identification and description of facts related to needs of an intelligent search in dynamic social network has been done by the authors after the deep and thorough study conducted on several journal and conference papers that are scattered on different electronic databases globally. The usage of intelligent agent for effective information retrieval from the social network site is a very emerging area and it will help the users to find the relevant and concerned information quickly and efficiently. The findings of the authors will help researchers and scholars who are already working in this area to get the relevant information in the direction of future research.

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Section: Related Research and Motivationmentioning

confidence: 99%

Need of Intelligent Search in Dynamic Social Network

Sonkar

Bhatnagar²,

Challa

2015

Information Resources Management Journal

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A temporal analysis of institutional repository research

Stevenson

Zhang

2015

Scientometrics

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A Layered Parameterized Framework for Intelligent Information Retrieval in Dynamic Social Network using Data Mining

Sonkar

Bhatnagar²,

Challa

2014

Data Mining and Analysis in the Engineering Field

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Dynamic social networks contain vast amounts of data, which is changing continuously. A search in a dynamic social network does not guarantee relevant, filtered, and timely information to the users all the time. There should be some sequential processes to apply some techniques and store the information internally that provides the relevant, filtered, and timely information to the users. In this chapter, the authors categorize the social network users into different age groups and identify the suitable and appropriate parameters, then assign these parameters to the already categorized age groups and propose a layered parameterized framework for intelligent information retrieval in dynamic social network using different techniques of data mining. The primary data mining techniques like clustering group the different groups of social network users based on similarities between key parameter items and by classifying the different classes of social network users based on differences among key parameter items, and it can be association rule mining, which finds the frequent social network users from the available users.

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Intelligent Information Retrieval for Web-Based Design Data Repository

Cited by 4 publications

References 7 publications

Need of Intelligent Search in Dynamic Social Network

Need of Intelligent Search in Dynamic Social Network

A temporal analysis of institutional repository research

A Layered Parameterized Framework for Intelligent Information Retrieval in Dynamic Social Network using Data Mining

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