"All You Can Eat" Ontology-Building Feeding Wikipedia to Cyc

• Published in: Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01 Vol. 1; pp. 341 - 348
• Main Authors: Sarjant, Samuel, Legg, Catherine, Robinson, Michael, Medelyan, Olena
• Format: Conference Proceeding
• Language: English
• Published: Washington, DC, USA IEEE Computer Society 15.09.2009; IEEE
• Series: ACM Conferences
• Subjects: Computing methodologies > Artificial intelligence > Knowledge representation and reasoning; Computing methodologies > Artificial intelligence > Knowledge representation and reasoning > Semantic networks; Computing methodologies > Machine learning > Machine learning approaches > Rule learning; Conferences; Cyc; Hafnium; Helium; Information systems > Information retrieval; Information systems > Information retrieval > Evaluation of retrieval results; Information systems > Information systems applications > Data mining; Intelligent agent; Ontologies; Ontology; Web Mining; Wikipedia; Wikipedia; Ontology; Cyc; Web Mining
• ISBN: 0769538010; 9780769538013
• DOI: 10.1109/WI-IAT.2009.60

In order to achieve genuine web intelligence, building some kind of large general machine-readable conceptual scheme (i.e. ontology) seems inescapable. Yet the past 20 years have shown that manual ontology-building is not practicable. The recent explosion of free user-supplied knowledge on the Web has led to great strides in automatic ontology-building, but quality-control is still a major issue. Ideally one should automatically build onto an already intelligent base. We suggest that the long-running Cyc project is able to assist here. We describe methods used to add 35K new concepts mined from Wikipedia to collections in ResearchCyc entirely automatically. Evaluation with 22 human subjects shows high precision both for the new concepts’ categorization, and their assignment as individuals or collections. Most importantly we show how Cyc itself can be leveraged for ontological quality control by ‘feeding’ it assertions one by one, enabling it to reject those that contradict its other knowledge.