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Title: Description and Retrieval of Scientific Data Resources
Author: Soldar, Goran
ISNI:       0000 0004 2672 4808
Awarding Body: University of East Anglia
Current Institution: University of East Anglia
Date of Award: 2008
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The results of scientific activities are often made available on the Web. Large volumes of information are typically kept and managed in an ad-hoc manner, and a substantial effort is required from scientists to discover data with which they can work. This issue can be seen as a part of the vision for the Semantic Web in its attempt to bring structure and meaningful relationships between concepts and objects that exist in the Web. A system has been developed to discover relevant resources given a small set of training documents. The approach is to discover the most discriminatory terms and their relationships, then to use these to develop a domain ontology. Several series of experiments were undertaken to determine the most appropriate preprocessing steps and weighting scheme. The ontology is represented using RDF and mapped into relational structures. It contains semantic information about meteorology. It is used in information retrieval as a query expansion step in computing the ontology context for the users' requests. The experiments we conducted show the effectiveness of query expansion with terms selected from domain ontology. The system presented here is not specifically exclusive to meteorology, but it can be applied to any information domain providing that an initial set of relevant documents forming the training set exists. We have shown that satisfactory results can be achieved with a small initial set of documents. The document base for information retrieval grows with the discovery of new documents.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available