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Mining Information for Instance Unification

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Proceedings of the 5th International Conference on The Semantic Web, стр. 329--342. Berlin/Heidelberg, Springer, (2006)
DOI: 10.1007/11926078_24

Аннотация

Instance unification determines whether two instances in an ontology refer to the same object in the real world. More specifically, this paper addresses the instance unification problem for person names. The approach combines the use of citation information (i.e., abstract, initials, titles and co-authorship information) with web mining, in order to gather additional evidence for the instance unification algorithm. The method is evaluated on two datasets – one from the BT digital library and one used in previous work on name disambiguation. The results show that the information mined from the web contributes substantially towards the successful handling of highly ambiguous cases which lowered the performance of previous methods.

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  • @jaeschke
    @jaeschke 9 лет назад
    interesting citation: "names can be very ambiguous as over 90,000 names are being shared by 100 million people in the United States alone" from "Disambiguating People in Search" by R. V. Guha and A. Garg (2004), which is no longer available (and although it is often cited as having been published at WWW 2004, it is not contained in the conference proceedings (cf. https://dl.acm.org/citation.cfm?id=988672))
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