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).