Clever Search: A WordNet Based Wrapper for Internet Search Engines
Peter M. Kruse, Andre Naujoks, Dietmar Roesner, Manuela Kunze
TL;DR
This paper introduces a method to improve internet search engines by integrating WordNet's lexical-semantic information to refine user queries and classify search results, enhancing search accuracy.
Contribution
It presents a novel wrapper that leverages WordNet to specify user requests and classify search results, improving search engine relevance.
Findings
Enhanced search query specification using WordNet
Improved classification of search results
Potential for more relevant search outcomes
Abstract
This paper presents an approach to enhance search engines with information about word senses available in WordNet. The approach exploits information about the conceptual relations within the lexical-semantic net. In the wrapper for search engines presented, WordNet information is used to specify user's request or to classify the results of a publicly available web search engine, like google, yahoo, etc.
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Taxonomy
TopicsNatural Language Processing Techniques · Semantic Web and Ontologies