WOP:2010/KeynoteTalk
From Odp
(New page: == Data Archeology for Ontology Patterns == '''by Chris Welty'''<br/> '''IBM Research''' === Abstract === Ontology Patterns for the semantic web are closest in spir...) |
Current revision (18:51, 12 October 2010) (view source) |
||
| (One intermediate revision not shown.) | |||
| Line 1: | Line 1: | ||
| - | + | = Data Archeology for Ontology Patterns = | |
'''by [[User:ChrisWelty| Chris Welty]]'''<br/> | '''by [[User:ChrisWelty| Chris Welty]]'''<br/> | ||
'''IBM Research''' | '''IBM Research''' | ||
| + | |||
| + | [[Image:Chris.jpg]] | ||
=== Abstract === | === Abstract === | ||
Ontology Patterns for the semantic web are closest in spirit to software patterns, e.g. [Gamma, et al, 1997]. They are, or should be, motivated by design experience, not philosophical tradition. The software pattern community was launched into prominence as the result of an effort in "software archeology": digging through existing software, observing and cataloging different solution methods, generalizing and classifying them in a sensible framework, and publishing the result. In this talk I will argue for an archeological and less theoretical approach to ontology patterns, with examples. | Ontology Patterns for the semantic web are closest in spirit to software patterns, e.g. [Gamma, et al, 1997]. They are, or should be, motivated by design experience, not philosophical tradition. The software pattern community was launched into prominence as the result of an effort in "software archeology": digging through existing software, observing and cataloging different solution methods, generalizing and classifying them in a sensible framework, and publishing the result. In this talk I will argue for an archeological and less theoretical approach to ontology patterns, with examples. | ||
| - | + | === Short Bio === | |
| - | + | ||
Chris Welty is a Research Scientist at the IBM T.J. Watson Research Center in New York. His principal area of research is Knowledge Representation, specifically ontologies and the semantic web, and he spends most of his time applying this technology to Natural Language Question Answering as a member of the DeepQA/Watson team. He is best known as a co-developer of the OntoClean methodology with Nicola Guarino, and as the co-chair of the W3C RIF working group. | Chris Welty is a Research Scientist at the IBM T.J. Watson Research Center in New York. His principal area of research is Knowledge Representation, specifically ontologies and the semantic web, and he spends most of his time applying this technology to Natural Language Question Answering as a member of the DeepQA/Watson team. He is best known as a co-developer of the OntoClean methodology with Nicola Guarino, and as the co-chair of the W3C RIF working group. | ||
Current revision
Data Archeology for Ontology Patterns
by Chris Welty
IBM Research
Abstract
Ontology Patterns for the semantic web are closest in spirit to software patterns, e.g. [Gamma, et al, 1997]. They are, or should be, motivated by design experience, not philosophical tradition. The software pattern community was launched into prominence as the result of an effort in "software archeology": digging through existing software, observing and cataloging different solution methods, generalizing and classifying them in a sensible framework, and publishing the result. In this talk I will argue for an archeological and less theoretical approach to ontology patterns, with examples.
Short Bio
Chris Welty is a Research Scientist at the IBM T.J. Watson Research Center in New York. His principal area of research is Knowledge Representation, specifically ontologies and the semantic web, and he spends most of his time applying this technology to Natural Language Question Answering as a member of the DeepQA/Watson team. He is best known as a co-developer of the OntoClean methodology with Nicola Guarino, and as the co-chair of the W3C RIF working group.
