A digital assets navigating system based on FCA

Chongyang Shi*, Zhendong Niu, Tao Wang, Xiaomei Xu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Formal concept analysis (FCA) has been developed to have a wide range of applications. A number of researchers have proposed several FCA lattice structures for Information Retrieval. In this paper, a Web-based digital assets navigating system is designed based on FCA. In the proposed design, several meta-templates tailored for certain metadata standards are used to processing the various asset types, and DC acts as the core managed and lattice-context extracting metadata standard to which other meta-templates can easily mapping. The second way to form lattice context is extracting the terms from the content of document-alike assets using the BC method. At last we suppose a Web-based navigating interface using an eye-frame to show or hide parts of the lattice via interactive shifting of a focus concept node.

Original languageEnglish
Title of host publicationProceedings - 2008 International Symposium on Knowledge Acquisition and Modeling, KAM 2008
Pages356-360
Number of pages5
DOIs
Publication statusPublished - 2008
Event2008 International Symposium on Knowledge Acquisition and Modeling, KAM 2008 - Wuhan, China
Duration: 21 Dec 200822 Dec 2008

Publication series

NameProceedings - 2008 International Symposium on Knowledge Acquisition and Modeling, KAM 2008

Conference

Conference2008 International Symposium on Knowledge Acquisition and Modeling, KAM 2008
Country/TerritoryChina
CityWuhan
Period21/12/0822/12/08

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