Dorval-Joseph, Riemann

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Extraction of semantic metadata for a web 2.0 site
(2010) Dorval-Joseph, Riemann; Vega-Riveros, José F.; College of Engineering; Rodríguez-Martínez, Manuel; Santiago, Nayda; Department of Electrical and Computer Engineering; Castellanos, Dorial
This thesis describes the architecture of a metadata extraction and a search engine using Semantic Web technology. The lack of studies about extraction of semantic metadata within PowerPoint or Open Office Presentations generates the following problems: 1) Presentations is one of the most widely used communication tools; and 2) Presenters often find themselves wasting a long time looking for information from previous presentations. Thus, we designed an application that allows: to access the information inside an Open Office Presentation and generate the metadata from this information and to go through the metadata and look for the presentations that match search criteria entered by a user. RDF (Resource Description Framework) and NLP (Natural Language Processing) are the main technologies used in our research. Tests were conducted to measure the quality of results, and then were compared to the results from other well known systems such as Google Desktop and Windows Search.