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

Edy Portmann, Michael Alexander Kaufmann, Cédric Graf
2012 Proceedings of the 2012 international workshop on Web-scale knowledge representation, retrieval and reasoning - Web-KR '12  
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
more » ... . 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. Distributed information retrieval, knowledge discovery from data, human-oriented computer interaction, human-computer information retrieval, inductive inference, computational semiotics, explorative search, Web-scale knowledge retrieval 1.
doi:10.1145/2389656.2389658 dblp:conf/cikm/PortmannKG12 fatcat:hr3swxwovvavjl57pdi62fw4vq