Analyzing Semi-structured Data For Ontological Information Extraction

摘要

The goal of the WebOntEx (Web Ontology Extraction) project is to extract Web ontologies semi-automatically by analyzing Web pages that are in the same application domain. The ontology is considered as a complete schema of the application domain concepts as they are used in the analyzed Web pages. The concepts are classified into entity types, relationships, attributes, and superclass/subclass hierarchies and stored in a relational database to allow them to evolve over time. This paper describes the WebOntEx project, and its architecture and main component module. We utilize machine-learning techniques, in particular inductive logic programming, in the WebOntEx Heuristic Analyzer module. The extracted ontologies can be used in various important applications, such as understanding Web information content, querying Web meta-data, more intelligent Web searching, and conversion of HTML Web pages to other formats, such as XML.