WEB CLUSTERING BASED ON CLOSED RELATIONSHIP TO REFERENCE ONTOLOGY

Ganefi, Marliza and Wulandari, Lily and Wicaksana, I Wayan Simri WEB CLUSTERING BASED ON CLOSED RELATIONSHIP TO REFERENCE ONTOLOGY. Skripsi Program Studi Sistem Informasi. (Submitted)

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Abstract

The low precision of the web search engines coupled with the ranked list presentation in a large number of documents / URL and make it hard for them to find the information / URL that they are looking for. A tools must be provided to help users “cope” with large document sets. The motivation for this research was to make search engine results easy to browse, allowing the user to find a relevant documents in the result set even if it is very large and mostly irrelevant. Now we will bring our method that we called Web Clustering Based-On Closed Relationship Reference Ontology. The basic idea of social life is mimic to grouping (clustering) the document that result from a search engine. The documents that have the same topic can be clustered in the same cluster.Based on the model, the clustering of documents on the web directly is very difficult. Therefore, the first step we do to make the grouping is to conduct exploration on to a search engine that works to document classification first before displaying the documents in the search results list.

Item Type: Article
Uncontrolled Keywords: clustering; ontology
Subjects: A General Works > AI Indexes (General)
Divisions: Fakultas Ilmu Komputer dan Teknologi Informasi > Program Studi Sistem Informasi
Depositing User: Mr Reza Chandra
Date Deposited: 28 Feb 2014 06:11
Last Modified: 28 Feb 2014 06:11
URI: http://repository.gunadarma.ac.id/id/eprint/836

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