dc.contributor.authorChugani Reema
dc.description.abstractOntologies are the concepts that form the basis of a knowledge representation system which captures the semantic information of a domain. Construction of ontologies from textual information by extracting facts and patterns is becoming increasingly common. The objective of this research is to automate the process of constructing such a knowledge representation system using domain ontologies. In this study, universities are chosen as the domain to construct ontologies that can be used for interesting applications and better information retrieval. Wikipedia terms and categories are used as a dictionary for extracting information from university webpages. The resultant concepts of each university are analyzed and validated by predicting current research collaborators and competitors for a given domain expertise. It is hoped that the domain knowledge obtained from the result of this study can be used to predict potential research collaborators and competitors.en_US
dc.format.extent49 p.en_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineering::Computer science and engineering::Computing methodologies::Document and text processingen_US
dc.subjectDRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrievalen_US
dc.titleMulti-layered knowledge representation for Semantic searchesen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.schoolSchool of Computer Engineeringen_US
dc.description.degreeCOMPUTER SCIENCEen_US
dc.contributor.organizationInstitute for Infocomm Researchen_US
dc.contributor.supervisor2Kim Jung-Jaeen_US

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