InPhO

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InPhO: a system for collaboratively populating and extending a dynamic ontology

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International Conference on Digital Libraries archive
Proceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries table of contents

Pittsburgh PA, PA, USA

DEMONSTRATION SESSION: Demonstrations table of contents

Pages 429-429

Year of Publication: 2008

ISBN:978-1-59593-998-2

Authors

Mathias Niepert	Indiana University, Bloomington, IN, USA
Cameron Buckner	Indiana University, Bloomington, IN, USA
Jaimie Murdock	Indiana University, Bloomington, IN, USA
Colin Allen	Indiana University, Bloomington, IN, USA

Sponsors

SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
SIGIR: ACM Special Interest Group on Information Retrieval
ACM: Association for Computing Machinery

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ACM New York, NY, USA

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ABSTRACT

InPhO is a system that combines statistical text processing, information extraction, human expert feedback, and logic programming to populate and extend a dynamic ontology for the field of philosophy. Integrated in the editorial workflow of the Stanford Encyclopedia of Philosophy (SEP), it will provide important metadata features such as automated generation of cross-references, semantic search, and ontology driven conceptual navigation.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Mathias Niepert , Cameron Buckner , Colin Allen, A dynamic ontology for a dynamic reference work, Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries, June 18-23, 2007, Vancouver, BC, Canada [doi>10.1145/1255175.1255230]
	2	M. Niepert, C. Buckner, and C. Allen. Answer set programming on expert feedback to populate and extend dynamic ontologies. In Proceedings of 21st FLAIRS. AAAI Press, 2008.