Extracting Keyword for Disambiguating Name Based on the Overlap Principle
This addresses name ambiguity issues for Semantic Web applications, but appears incremental as it builds on existing principles without major breakthroughs.
The paper tackles the problem of name disambiguation in the Semantic Web by developing an approach to extract keywords from web snippets using the overlap principle, resulting in features generated to handle web variety, though no concrete numbers are provided.
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.