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) (pp. 1-8). 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: |
15 Jan 2023 00:31 |
Publisher DOI: |
10.1145/2389656.2389658 |
BORIS DOI: |
10.7892/boris.45576 |
URI: |
https://boris.unibe.ch/id/eprint/45576 |
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