Difference between revisions of "Wu and Weld WWW 2008"
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* a subsumption detector, which identifies "[http://en.wikipedia.org/wiki/Is-a IS-A]" relations between infobox classes (e.g. "volleyball player" IS-A "athlete"); | * a subsumption detector, which identifies "[http://en.wikipedia.org/wiki/Is-a IS-A]" relations between infobox classes (e.g. "volleyball player" IS-A "athlete"); | ||
* and a schema mapper, which builds attribute mappings between related infobox classes. | * and a schema mapper, which builds attribute mappings between related infobox classes. | ||
| + | |||
| + | The detection of subsumption relations is modeled as a binary classification problem. | ||
== Experimental result == | == Experimental result == | ||
Revision as of 14:39, 25 September 2011
Citation
Wu, F. and Weld, D. 2008. Automatically Refining the Wikipedia Infobox Ontology. In Proceedings of the 17th Conference of the World Wide Web, pp. 635-644, ACM, New York.
Online version
Summary
This is a paper that introduces an autonomous system for refining Wikipedia’s infobox information schema to create a cleanly-structured ontology. Advanced query capability, improved information extractors and semiautomatic generation of new infobox templates are shown as advantages of a refined ontology. The ontology refinement problem is solved using both Support Vector Machines and a more powerful joint-inference approach expressed in Markov Logic Networks.
The autonomous system, presented as Kylin Ontology Generator (KOG), is comprised of three modules:
- a schema cleaner, which merges duplicate classes and attributes and prunes rarely-used ones;
- a subsumption detector, which identifies "IS-A" relations between infobox classes (e.g. "volleyball player" IS-A "athlete");
- and a schema mapper, which builds attribute mappings between related infobox classes.
The detection of subsumption relations is modeled as a binary classification problem.
Experimental result
...
Related papers
This paper is based on Wu and Weld CIKM 2007.
