Exploiting ASP for Semantic Information Extraction

Abstract. The paper describes HıLεX, a new ASP-based system for the extraction of information from unstructured documents. Unlike previous systems, which are mainly syntactic, HıLεX combines both semantic and syntactic knowledge for a powerful information extraction. In particular, the exploitation of background knowledge, stored in a domain ontology, allows to empower significantly the information extraction mechanisms. HıLεX is founded on a new two-dimensional representation of documents, and heavily exploits DLP+ – an extension of disjunctive logic programming for ontology representation and reasoning which has been recently implemented on top of DLV . The domain ontology is represented in DLP+ , and the extraction patterns are encoded by DLP+ reasoning modules, whose execution yields the actual extraction of information from the input document. HıLεX allows to extract information from both HTML and flat text documents.

• Type: Conference
• Year: 2005
• Where: ASP
• Authors: Massimo Ruffolo, Nicola Leone, Marco Manna, Domenico Saccà, Amedeo Zavatto
• Keywords: ASP 2005, Automated Reasoning, Domain Ontology, Information Extraction, Powerful Information Extraction