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

TitleA distributed, semiotic-inductive and human-Oriented approach to web-scale knowledge retrieval
Publication TypeConference Paper
Year of Publication2012
AuthorsPortmann, E, Kaufmann, MAlexander, Graf, C
Conference NameProceedings of the 2012 international workshop on Web-scale knowledge representation, retrieval and reasoning
PublisherACM
Conference LocationNew York
Abstract

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.

URLhttps://boris.unibe.ch/45576/