Paper Info
Title
A semantic-based approach to content abstraction and annotation for content management
Abstract
In recent years, knowledge becomes the most important asset of individuals as well organizations, and determines the competitiveness of an enterprise. Content is a knowledge container that implies what human beings transform their knowledge in when they want to communicate with other people. Therefore, effective content management can achieve the goal and value of knowledge management. Content management activities are depending on meta-content which represents the content feature and are generated through the procedures of content abstraction and annotation. In general, the content creator utilizes words and logical combinations to express his intentions and concepts in semantic formats that are comprehensible to human beings. Accordingly, managing content from a semantic approach can effectively improve transparency and visibility of the content, and guides both the content creator and the user to engage in seamless, semantic-based communications and interactions. This study proposes a semantic-based content abstraction and annotation approach and a semantic pattern for bridging the semantic gaps of content management. Based on this approach, a semantic-driven content management environment that features a high interoperability of content can be constructed to accomplish the following goals and benefits: (1) effectively bridging semantic gaps in the existing content management systems; (2) delivering the right content to the right user at the right time; (3) bridging the semantic gaps for the content author and the customer to increase the efficiency of content management; and (4) realizing the acquisition, analysis, access, management, diffusion, interpretation, and innovation of knowledge.
Year
DOI
Venue
2009
10.1016/j.eswa.2007.12.067
Expert Syst. Appl.
Keywords
Field
DocType
content annotation,content abstraction,content management,content creator utilizes word,semantic gap,semantic-based approach,semantic web,effective content management,existing content management system,content author,semantic pattern,content feature,content creator,content management activity,knowledge management
World Wide Web,Semantic technology,Semantic Web Stack,Interoperability,Document management system,Computer science,Component content management system,Semantic Web,Content management,Semantic computing
Journal
Volume
Issue
ISSN
36
2
Expert Systems With Applications
Citations 
PageRank 
References 
18
0.83
13
Authors
3
Name
Order
Citations
PageRank
Hui-Chuan Chu120615.90
Ming-Yen Chen2473.48
Yuh-Min Chen337932.12