Knowledge Engineering and Management by the Masses: 17th by Fayçal Hamdi, Chantal Reynaud, Brigitte Safar (auth.),

By Fayçal Hamdi, Chantal Reynaud, Brigitte Safar (auth.), Philipp Cimiano, H. Sofia Pinto (eds.)

Knowledge administration and information Engineering is an engaging ?eld of re- 1 seek nowadays. at the beginning of EKAW , the modeling and acquisition of information was once the privilege of – or fairly a burden for – a couple of wisdom engineers accustomed to wisdom engineering paradigms and information rep- sentationformalisms.While the aimhasalwaysbeentomodelknowledgedecl- atively and make allowance for reusability, the information types produced in those early days have been regularly utilized in unmarried and extremely speci?c purposes and barely - replaced. in addition, those types have been in general really advanced, and so they should be understood simply via a couple of specialist wisdom engineers. this example has replaced appreciably within the previous few years as sincerely indicated by way of the subsequent tendencies: – The production of (even formal) wisdom is now turning into an increasing number of collaborative. Collaborative ontology engineering instruments and social software program structures convey the aptitude to leverage the knowledge of the crowds (or at the very least of “the many”) to steer to broader consensus and therefore produce shared types which qualify greater for reuse. – A pattern is also saw in the direction of constructing and publishing small yet 2 three four high-impactvocabularies(e.g.,FOAF ,DublinCore ,GoodRelations)rather than advanced and massive wisdom models.

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Extra resources for Knowledge Engineering and Management by the Masses: 17th International Conference, EKAW 2010, Lisbon, Portugal, October 11-15, 2010. Proceedings

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And another Ies (Ies2) is generated when new two wheels are installed to bike B (t3). Then, when we exchanged the two wheels of bike A and the ones of bike B each other, Ies1 and Ies2 are changed to Ies3 and Ies4 respectively (t4). In this example, the bikes at t3 and them at t4 are regarded as different bikes because of difference of Ies, while bike A and B have kept same Ire, Ire1 and Ire2 respectively, because Ire1 and Ire2 are maintained regardless of parts replacement. In this way, we can deal with such complicated change of instances in each time points appropriately by applying Ies and Ire to the parts replacement.

AppearInLabel(c, y) is true ⇔ ∃ a label L1 of y such as c ⊂ L1 , where c is a string and y ∈ CS ∪ CT . 8 F. Hamdi, C. Reynaud, and B. Safar Algorithm 2. extractFromLabel(x,c,y,r) Require: {x, y} ∈ CS ∪ CT and c ∈ {“and”, “or”} 1: for each label L1 of x do 2: SplitLabelP art(L1 , c, P art1 , P art2 ) 3: if one label of y = P art1 then 4: r = P art2 , return true 5: else if one label of y = P art2 then 6: r = P art1 , return true 7: else 8: return f alse 9: end if 10: end for – extractF romLabel(x, c, y, r) is defined as follows: where SplitLabelP art(L1, c, P art1 , P art2 ) is a function which extracts from the label L1 two new labels P art1 and P art2 , where P art1 and P art2 consist of words that appear respectively before and after c.

Practical Considerations on Identity for Instance Management in Ontological Investigation 19 play a Math teacher role after a year. Does the person play the same teacher role individual or another teacher role individual? (7) We assume John, an associate professor of Osaka University gets promoted to full professor. If we model this promotion process as that John directly plays the associate professor role and he changes the role to play, he has to stop being a member of Osaka University at the instance of he stops to be an associate professor.

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