A distributed, semiotic-inductive and human-Oriented approach to web-scale knowledge retrieval

Portmann, Edy; Kaufmann, Michael Alexander; Graf, Cédric (2012). A distributed, semiotic-inductive and human-Oriented approach to web-scale knowledge retrieval. In: Proceedings of the 21st ACM International Conference on Information and Knowledge Management (CIKM 2012) (p. 1). New York: ACM 10.1145/2389656.2389658

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Web-scale knowledge retrieval can be enabled by distributed information retrieval, clustering Web clients to a large-scale computing infrastructure for knowledge discovery from Web documents. Based on this infrastructure, we propose to apply semiotic (i.e., sub-syntactical) and inductive (i.e., probabilistic) methods for inferring concept associations in human knowledge. These associations can be combined to form a fuzzy (i.e.,gradual) semantic net representing a map of the knowledge in the Web. Thus, we propose to provide interactive visualizations of these cognitive concept maps to end users, who can browse and search the Web in a human-oriented, visual, and associative interface.

Item Type:

Conference or Workshop Item (Paper)

Division/Institute:

03 Faculty of Business, Economics and Social Sciences > Department of Business Management > Institute of Information Systems > Information Management
03 Faculty of Business, Economics and Social Sciences > Department of Business Management > Institute of Information Systems

UniBE Contributor:

Portmann, Edy

Subjects:

600 Technology > 650 Management & public relations

ISBN:

978-1-4503-1711-5

Publisher:

ACM

Projects:

[388] Knowledge Aggregation, Representation and Reasoning

Language:

English

Submitter:

Sara D'Onofrio

Date Deposited:

10 Apr 2014 10:52

Last Modified:

26 Jun 2016 01:49

Publisher DOI:

10.1145/2389656.2389658

BORIS DOI:

10.7892/boris.45576

URI:

https://boris.unibe.ch/id/eprint/45576

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