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

Authors

  • Rainer Spiegel Ludwig Maximilians Universität

DOI:

https://doi.org/10.3991/ijet.v1i3.65

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).

Author Biography

Rainer Spiegel, Ludwig Maximilians Universität

PhD (received from University of Cambridge, England, 2002) Fellow (Wolfson College, University of Cambridge, England, 2002 to 2006) 2003 to 2004 Lecturer in Computer Science at Goldsmiths College, University of London Since 2004 Lecturer in Medical Psychology for the Medical Schools of Ludwig-Maximilians-University, Munich and the Technical University of Munich Since 2004: Group leader of the Sensory-motor Learning Lab, Ludwig-Maximilians University, Munich

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Published

2006-10-19

How to Cite

Spiegel, R. (2006). An Application of the Semantic Web Inspired by Human Learning and Natural Language Processing. International Journal of Emerging Technologies in Learning (iJET), 1(3). https://doi.org/10.3991/ijet.v1i3.65

Issue

Vol. 1 No. 3 (2006)

Section

Papers

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