Extracting Keyword for Disambiguating Name Based on the Overlap Principle

TL;DR

This paper proposes a method for name disambiguation on the Semantic Web by extracting keywords from web snippets using the overlap principle to handle ambiguity and improve identification accuracy.

Contribution

It introduces a novel approach that utilizes the overlap principle to extract features from web snippets for effective name disambiguation.

Findings

Effective keyword extraction from web snippets

Improved disambiguation accuracy using the overlap principle

Enhanced understanding of ambiguous person names

Abstract

Name disambiguation has become one of the main themes in the Semantic Web agenda. The semantic web is an extension of the current Web in which information is not only given well-defined meaning, but also has many purposes that contain the ambiguous naturally or a lot of thing came with the overlap, mainly deals with the persons name. Therefore, we develop an approach to extract keywords from web snippet with utilizing the overlap principle, a concept to understand things with ambiguous, whereby features of person are generated for dealing with the variety of web, the web is steadily gaining ground in the semantic research.