Detection of cognitive features from web resources in support of cultural modeling and analysis

Authors:
Antonio Penta;Nigel Shadbolt;Paul Smart;Winston R. Sieck
Affiliations:
University of Southampton, Southampton, UK;University of Southampton, Southampton, UK;University of Southampton, Southampton, UK;Applied Research Associates, Inc., Fairborn, Ohio
Venue:
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
Year:
2011

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Abstract

The World Wide Web serves as a valuable source of culture-relevant information, which can be used to support cultural modeling and analysis activities. Part of the challenge in exploiting the Web as a source of culture-relevant information relates to the need to detect and extract information about beliefs, attitudes, and values from a variety of different resources. The Web, thus, features a rich variety of information resources, and these are seldom categorized with respect to the dimensions in which cultural analysts are interested. Exploiting the Web as a source of culture-relevant information therefore requires techniques and approaches that enable cultural analysts to extract relevant information and organize extracted content in various ways. In this paper, we outline an approach to assist cultural analysts in the extraction and organization of relevant information. We show techniques that can be used to extract information of the attitudes, beliefs, and values of individuals, and how this data can, in turn, be used to support cultural modeling and analysis.