Home > Archive > 2021 > Volume 11 Number 1 (Jan. 2021) >
IJMLC 2021 Vol.11(1): 68-76 ISSN: 2010-3700
DOI: 10.18178/ijmlc.2021.11.1.1016

Knowledge Engineering the Web

Ben Choi

Abstract—This paper focuses on the largest source of human knowledge: The Web. It presents the state of the art and patented technologies on search engine, automatic organization of webpages, and knowledge-based automatic webpage summarization. For the patented search engine technology, it describes new methods to present search results to the users and through browsers to allow the users to customize and organize webpages. For the patented classification technology, it describes new methods to automatically organize webpages into categories. For the knowledge-based summarization technology, it presents new technics for computers to "read" webpages and then to "write" a summary by creating new sentences to describe the contents of the webpages. These search engine, classification, and summarization technologies build a strong framework for knowledge engineering the Web.

Index Terms—Search engine, classification, web mining, document summarization, ontology, knowledge engineering.

The author is with Louisiana Tech University, USA (e-mail: pro@BenChoi.org).


Cite: Ben Choi, "Knowledge Engineering the Web," International Journal of Machine Learning and Computing vol. 11, no. 1, pp. 68-76, 2021.

Copyright © 2021 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

General Information

  • E-ISSN: 2972-368X
  • Abbreviated Title: Int. J. Mach. Learn.
  • Frequency: Quaterly
  • DOI: 10.18178/IJML
  • Editor-in-Chief: Dr. Lin Huang
  • Executive Editor:  Ms. Cherry L. Chen
  • Abstracing/Indexing: Inspec (IET), Google Scholar, Crossref, ProQuest, Electronic Journals LibraryCNKI.
  • E-mail: ijml@ejournal.net

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