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Search Engine: Approaches and Performance
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Author(s): Eliana Campi (University of Salento, Italy)and Gianluca Lorenzo (University of Salento, Italy)
Copyright: 2009
Pages: 27
Source title:
Semantic Knowledge Management: An Ontology-Based Framework
Source Author(s)/Editor(s): Antonio Zilli (University of Salento, Italy), Ernesto Damiani (University of Milan, Italy), Paolo Ceravolo (University of Milan, Italy), Angelo Corallo (University of Salento, Italy)and Gianluca Elia (University of Salento, Italy)
DOI: 10.4018/978-1-60566-034-9.ch004
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Abstract
This chapter presents technologies and approaches for information retrieval in a knowledge base. We intend to show that the use of ontology for domain representation and knowledge search offers a more efficient approach for knowledge management. This approach focuses on the meaning of the word, thus becoming an important element in the building of the Semantic Web. The search based on both keywords and ontology allows more effective information retrieval exploiting the Semantic of the information in a variety of data. We present a method for taxonomy building, annotating, and searching documents with taxonomy concepts. We also describe our experience in the creation of an informal taxonomy, the automatic classification, and the validation of search results with traditional measures, such as precision, recall and f-measure.
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