Information Science Reference, 2007. — 312 p. — ISBN: 978-1-59904-618-1.
One of the most important and challenging problems in data mining is the definition of prior knowledge either from the process or the domain. Prior knowledge is helpful for selecting suitable data and mining techniques, pruning the space of hypothesis, representing the output in a comprehensible way, and improving the overall method.
The book provides a comprehensive set of methodologies and tools for the development of ontological foundations for data mining in diverse domains ranging from biomedicine to marketing. Forming a benchmark reference for future efforts to enhance capabilities in ontology utilization and design, this Premier Reference Source will be an invaluable addition to libraries worldwide.
ImplementationsSofia Stamou, Alexandros Ntoulas, and Dimitris Christodoulakis
TODE: An Ontology-Based Model for the Dynamic Population of Web Directories
Xuan Zhou and James Geller
Raising, to Enhance Rule Mining in Web Marketing with the Use of an Ontology
Brigitte Trousse, Marie-Aude Aufaure, Bénédicte Le Grand, Yves Lechevallier, and Florent Masseglia
Web Usage Mining for Ontology Management
Minh Hai Pham, Delphine Bernhard, Gayo Diallo, Radja Messai, and Michel Simonet
SOM-Based Clustering of Multilingual Documents Using an Ontology
FindingsAna Isabel Canhoto
Ontology-Based Interpretation and Validation of Mined Knowledge: Normative and Cognitive Factors in Data Mining
Amandeep S. Sidhu, Tharam S. Dillon, and Elizabeth Chang
Data Integration Through Protein Ontology
Josiane Mothe and Nathalie Hernandez
TtoO: Mining a Thesaurus and Texts to Build and Update a Domain Ontology
Stanley Loh, Daniel Lichtnow, Thyago Borges, and Gustavo Piltcher
Evaluating the Construction of Domain Ontologies for Recommender Systems Based on Texts
FrameworksVania Bogorny, Paulo Martins Engel, and Luis Otavio Alvares
Enhancing the Process of Knowledge Discovery in Geographic Databases Using Geo-Ontologies
Peter Brezany, Ivan Janciak, and A Min Tjoa
Ontology-Based Construction of Grid Data Mining Workflows
Shastri L. Nimmagadda and Heinz Dreher
Ontology-Based Data Warehousing and Mining Approaches in Petroleum Industries
Evangelos Kotsifakos, Gerasimos Marketos, and Yannis Theodoridis
A Framework for Integrating Ontologies and Pattern-Bases
Compilation of References
About the Contributors