1. Ontology-Driven Relation Extraction by Pattern Discovery
- Author
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Andrea Bellandi, Cesare Zavattari, Simone Nasoni, and Alessandro Tommasi
- Subjects
Measure (data warehouse) ,Information retrieval ,Exploit ,Computer science ,Text annotation ,Ontology (information science) ,Pragmatics ,Semantics ,Relationship extraction ,Domain (software engineering) - Abstract
With this paper we describe an ontology-driven system that performs relation extraction over textual data. The system exploits expert knowledge of the domain, including lexical resources, in the form of an ontology to drive the extraction of patterns using manually annotated texts. Such patterns are then applied in order to identify candidates for relation extraction. Paired with basic, reliable named-entity-level text annotation, this results in the discovery of relations among entities in Italian newspaper articles. In the paper, we describe the system and measure its performance.
- Published
- 2010
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