RELFIN - Topic Discovery for Ontology Enhancement and Annotation

While classic information retrieval methods return whole documents as a result of a query, many information demands would be better satisfied by fine-grain access inside the documents. One way to support this goal is to make the semantics of small document regions explicit, e.g. as XML labels, so that query engines can exploit them. To this purpose, the topics of the small document regions must be discovered from the texts; differently from document labelling applications, fine-grain topics cannot be listed in advance for arbitrary collections. Text-understanding approaches can derive the topic of a document region but are less appropriate for the construction of a small set of topics that can be used in queries. To address this challenge we propose the coupling of text mining, prior knowledge explicated in ontologies and human expertise and present the system RELFIN, which is designed to assis the human expert in the discovery of topics appropriate for (i) ontology enhancement wit...

• Type: Conference
• Year: 2005
• Where: ESWS
• Authors: Markus Schaal, Roland M. Müller, Marko Brunzel, Myra Spiliopoulou
• Keywords: Document, Document Regions, ESWS 2005, Small Document Regions