An Application of the Semantic Web Inspired by Human Learning and Natural Language Processing

Rainer Spiegel

Abstract


The prototype in this paper presents a semantic web application that is inspired from psychology experiments on human learning and natural language processing. It aims at improving the proficiency of present search engines when dealing with specific queries (question-answering). The prototype makes use of the idea that the world wide web itself contains an enormous number of documents written in natural language (appearing in formats such as .html, .xml, .cfm, .pdf, .net, .asp etc.). It is consistently trained to improve its language proficiency by extracting knowledge from these documents and by storing redundant information in a database (i.e. information dealing with the same concept but expressed in different words).

Full Text:

PDF

Comments on this article

View all comments


Copyright (c) 2017 Rainer Spiegel


International Journal of Emerging Technologies in Learning. ISSN: 1863-0383
Creative Commons License SPARC Europe Seal
Indexing:
Web of Science ESCI logo Engineering Information logo INSPEC logo DBLP logo ELSEVIER Scopus logo EDiTLib logo EBSCO logo Ulrich's logo Google Scholar logo Microsoft® Academic Search