Poster

Track: Posters

Paper Title:
Representing a Web Page as Sets of Named Entities of Multiple Types - A Model and Some Preliminary Applications

Authors:

• Nan Di(Peking University)
• Conglei Yao(Peking University)
• Mengcheng Duan(Peking University)
• Jonathan J. H. Zhu(City University of Hong Kong)
• Xiaoming Li(Peking University)

Abstract:
As opposed to representing a document as a bag of words in most information retrieval applications, we propose a model of representing a web page as sets of named entities of multiple types. Specifically, four types of named entities are extracted, namely person, geographic location, organization, and time. Moreover, the relations among these entities are also extracted, weighted, classified and marked by labels. On top of this model, some interesting applications are demonstrated. In particular, we introduce a notion of person-activity, which contains four different elements: person, location, time and activity. With this notion and based on a reasonably large set of web pages, we are able to show how one person's activities can be attributed by time and location, which gives a good idea of the mobility of the person under question.

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