Download e-book for kindle: Artificial Intelligence for Knowledge Management: First IFIP by Eunika Mercier-Laurent, Danielle Boulanger (eds.)

By Eunika Mercier-Laurent, Danielle Boulanger (eds.)

This ebook includes a collection of papers awarded on the First IFIP WG 12.6 foreign Workshop on synthetic Intelligence for wisdom administration, AI4KM 2012, held in Montpellier, France, in August 2012, together with the 20 th ecu convention on synthetic Intelligence, ECAI 2012. The eleven revised and prolonged papers have been rigorously reviewed and chosen for inclusion during this quantity. They current new examine and leading edge points within the box of data management.

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Extra info for Artificial Intelligence for Knowledge Management: First IFIP WG 12.6 International Workshop, AI4KM 2012, Held in Conjunction with ECAI 2012, Montpellier, France, August 28, 2012, Revised Selected Papers

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Baumeister, J. ) 7th Workshop on Knowledge Engineering and Software Engineering (KESE 2011) at the Conference of the Spanish Association for Artificial Intelligence (CAEPIA 2011), La Laguna (Tenerife), Spain, November 10, pp. 15–23 (2011) 32. : Proposal of formal verification of selected BPMN models with Alvis modeling language. , Badica, C. ) Intelligent Distributed Computing V. SCI, vol. 382, pp. 249–255. com Abstract. Information society with huge number of everyday acting participants becomes valuable source of surfer behavior research.

Html;0,02011 Interpretation of this particular sequence may be expressed in these words: “Over 2 percent of anonymous users between 2PM and 7PM on 29th December 2008, first requested access to the home page, next opened science section then world section”. Based on the set of frequent sequences L we are able to generate sequential association rules (SAR). In this scenario, a simple algorithm was developed (Algorithm 2). Let R = { r1, r2, ... , rm }be a set of SAR. In each rule antecedent (body of the rule, left side) and consequent (head of the rule, right side) must not be replaced.

There can be different types of BR serving different purposes; in fact all the types of knowledge (taxonometric, factographic, transformation, integrity, and meta) can be encoded with BR. A closer look at foundations of Rule-Based Systems [23] shows that rules can: – have high expressive power depending on the logic in use, – provide elements of procedural control, – undergo formal analysis. Some modern classification cover the following types of rules: – – – – – – facts – rules defining true statement (with no conditional part), definition rules – for defining terms and notions in use, integrity rules – rules defining integrity constraints, production rules – for derivation of new facts, reaction rules – rules triggered by events, reactive rules or ECA rules, transformation rules – rules defining possible transformations, term-rewriting rules; they may include numerical recipe rules, – data processing rules – rules defining how particular data are to be transformed; these include numerical processing rules, – control rules – in fact meta rules used for inference process control, – meta rules – other rules defining how to use basic rules.

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