Download e-book for iPad: Autonomous Intelligent Systems: Multi-Agents and Data by Kanishka Bhaduri, Kamalika Das, Hillol Kargupta (auth.),
By Kanishka Bhaduri, Kamalika Das, Hillol Kargupta (auth.), Vladimir Gorodetsky, Chengqi Zhang, Victor A. Skormin, Longbing Cao (eds.)
Since early 1990, multi-agent platforms (MAS), information mining, and information d- covery (KDD) have remained components of excessive curiosity within the learn and - velopment of clever info applied sciences. certainly, MAS o?ers strong metaphors for info method conceptualization, a variety of new strategies, and applied sciences speci?cally excited by the layout and implementation of lar- scale open dispensed clever platforms. KDD additionally presents clever inf- mation expertise with robust rules, algorithms, and software program capacity to assist deal with the most challenge of arti?cial intelligence, formulated within the we- recognized query “Where does the data come from?”, hence truly making glossy functions clever and adaptive. The obvious fresh pattern in either technology and is to combine and make the most of either applied sciences. the prevailing adventure with mixed program of multi-agent expertise to layout architectures of disbursed (- erarchical and peer-to-peer) information mining and KDD structures, in addition to the u- lization of knowledge mining and KDD achievements to supply more desirable intelligence of MAS, con?rms the truth that either applied sciences are in a position to mutual enri- ment and their integrateduse can result in clever info structures with new emergent homes. the first foreign Workshop “Autonomous Int- ligent structures: brokers and information Mining” (AIS-ADM 2005, June 6–8, 2005, St. Petersburg, Russia) was once a reaction to the aforementioned pattern. It con?rmed the curiosity of educational and groups in advancing the e?orts to combine achievements in MAS and KDD, hence leading to a brand new measurement and extra growth in clever info technology.
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Additional info for Autonomous Intelligent Systems: Multi-Agents and Data Mining: Second International Workshop, AIS-ADM 2007, St. Petersburg, Russia, June 3-5, 2007. Proceedings
6. Fig. 6. General flow of information processing at EKB level Ontos Solutions for Semantic Web: Text Mining, Navigation and Analytics 19 At the heart of the EKB there is the RDF-store implemented in various structured data storage environments (currently, in the SQL Server 2003  and Oracle 10g R2 ). 1 Semantic Services – General View To the moment semantic services implemented within Ontos solution for Semantic Web are the following ones: • • • Ontos Navigation Server (ONS). Ontos Inference Server (OIS).
It results in a list of documents which can be later used for generating a digest based on the user’s objects of interest. The system stores navigating routes from their starting points up to the current ones, so a “navigation report”, or semantic digest, can be generated at any moment. When a digest is being generated, combinations of sentences with the objects of interest and relations between them from the selected documents are used. Documents publication dates and hyperlinks to the source are indicated for each fragment of the digest (Fig.
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. edu/~sandip) for a list of our papers which would provide a more thorough and representative overview of our research. We will overview the following subset of our research areas: • In Section 2 we present results from our work on trusted, reciprocal relationship maintenance in agent communities and its applications in P2P networks.
Autonomous Intelligent Systems: Multi-Agents and Data Mining: Second International Workshop, AIS-ADM 2007, St. Petersburg, Russia, June 3-5, 2007. Proceedings by Kanishka Bhaduri, Kamalika Das, Hillol Kargupta (auth.), Vladimir Gorodetsky, Chengqi Zhang, Victor A. Skormin, Longbing Cao (eds.)