An ontology-based semantic extraction approach for b2c e-commerce
Joint Authors
Source
The International Arab Journal of Information Technology
Issue
Vol. 8, Issue 2 (30 Apr. 2011), pp.163-170, 8 p.
Publisher
Publication Date
2011-04-30
Country of Publication
Jordan
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
Although varieties of investigations have been done on human semantic interactions with Web resources, no advanced and considerable progresses have been achieved.
It could be said that comparative shopping systems are the last generations of B2C e Commerce systems that connect to multiple online stores and collect the information requested by the user.
In some cases, the information is extracted from the online store sites through keyword search and other means of textual analysis.
These processes make use of assumptions about the proximity of certain pieces of information.
These heuristic approaches are error-prone and are not always guaranteed to work.
In this paper, we propose an ontology-based approach to extract the products' information and the vendors' price from their public Web sites' pages.
Although most vendors on the Web present their products' information in HTML documents that are not semantic formats.
However, our approach is based on understanding semantics of HTML documents and extracting the information automatically.
American Psychological Association (APA)
Ghobadi, Ali& Rahgozar, Maseud. 2011. An ontology-based semantic extraction approach for b2c e-commerce. The International Arab Journal of Information Technology،Vol. 8, no. 2, pp.163-170.
https://search.emarefa.net/detail/BIM-249564
Modern Language Association (MLA)
Ghobadi, Ali& Rahgozar, Maseud. An ontology-based semantic extraction approach for b2c e-commerce. The International Arab Journal of Information Technology Vol. 8, no. 2 (Apr. 2011), pp.163-170.
https://search.emarefa.net/detail/BIM-249564
American Medical Association (AMA)
Ghobadi, Ali& Rahgozar, Maseud. An ontology-based semantic extraction approach for b2c e-commerce. The International Arab Journal of Information Technology. 2011. Vol. 8, no. 2, pp.163-170.
https://search.emarefa.net/detail/BIM-249564
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 169-170
Record ID
BIM-249564