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This publication constitutes the refereed complaints of the second one foreign Workshop on independent clever platforms: brokers and knowledge Mining, AIS-ADM 2007, held in St. Petersburg, Russia in June 2007.
The 17 revised complete papers and six revised brief papers offered including four invited lectures have been rigorously reviewed and chosen from 39 submissions. The papers are prepared in topical sections on agent and knowledge mining, agent pageant and knowledge mining, in addition to textual content mining, semantic internet, and agents.
Read or Download Autonomous Intelligent Systems: Multi-Agents and Data Mining: Second International Workshop, AIS-ADM 2007, St. Petersburg, Russia, June 3-5, 2007, Proceedings PDF
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Extra info for Autonomous Intelligent Systems: Multi-Agents and Data Mining: Second International Workshop, AIS-ADM 2007, St. Petersburg, Russia, June 3-5, 2007, Proceedings
In its turn, the SummaryGenerator uses a set of text-generation rules and converts the input triplelist to the plain text. There is a specific rule set for each output language. Each rule has left side and right side. Left side is a pattern that must be matched with a part of the input triple-list. Right side is directive that says what to generate if the left side is matched with some input. More then one triple may be presented in a pattern. This allows generating language constructions using conjunction.
Digests are based on the special-purpose algorithms applied to collections of cognitive maps and/or their fragments, as well as to the corresponding document Fig. 9. Surf for digesting Ontos Solutions for Semantic Web: Text Mining, Navigation and Analytics 23 arrays. This complex process looks rather simple and logical for a user. Moving from one object of interest to another one through the semantic links is performed by the user in a manner that is very much similar to the traditional and thoroughly familiar Web surfing.
We are actively working on developing principles and mechanisms that allow agents to build and sustain communities. Our vision is that of robust agent communities that form, grow, and ﬂourish from proactive collaboration, that beneﬁt from each other’s resources and expertise, that encourages active cooperation to develop, sustain, secure, and enrich its inhabitants. In this invited talk, I present representative results from some of these investigations. As it is not possible to do justice to all of these research, I have chosen to highlight the primary motivation, technical approach and summary contribution from a select few recent research eﬀorts.