The web has gained much attention as new media reflecting real-time interest in the world. This attention is driven by the proliferation of tools like bulletin boards and weblogs. The web is a source from which we can collect and summarize information about a particular object (e.g., business organization, product, person, etc.) For example, the extraction of reputation information is a major research topic in information extraction and knowledge extraction from the web. The ability to collect web pages about a particular object is essential in obtaining such information and extracting knowledge from it. A big problem in the web page collection process is that the same objects are referred to in different ways in different web documents. For example, a person may be referred to by full name, first name, affiliation and title, or nicknames. This paper proposes a method for extracting these mnemonic names of people from the web and shows experimental results using real web data. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Hokama, T., & Kitagawa, H. (2006). Extracting mnemonic names of people from the web. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4312 LNCS, pp. 121–130). Springer Verlag. https://doi.org/10.1007/11931584_15
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