Ontology-based data-extraction is a resilient web data-extraction approach. A major limitation of this approach is that ontology experts must manually develop and maintain data-extraction ontologies. The limitation prevents ordinary users who have little knowledge of conceptual models from making use of this resilient approach. In this thesis we have designed and implemented a general framework, OntoByE, to generate data-extraction ontologies semi-automatically through a small set of examples collected by users. With the assistance of a limited amount of prior knowledge, experimental evidence shows that OntoByE is capable of interacting with users to generate data-extraction ontologies for domains of interest to them.
College and Department
Physical and Mathematical Sciences; Computer Science
BYU ScholarsArchive Citation
Zhou, Yuanqiu, "Generating Data-Extraction Ontologies By Example" (2005). Theses and Dissertations. 705.
Ontology, Web data, data extraction