Active Conceptual Modeling of Learning: Next Generation by Peter P. Chen, Leah Y. Wong

By Peter P. Chen, Leah Y. Wong

This quantity includes a number of the papers provided throughout the First foreign ACM-L Workshop, which used to be held in Tucson, Arizona, through the twenty fifth foreign convention on Conceptual Modeling, ER 2006.

Included during this cutting-edge survey are eleven revised complete papers, rigorously reviewed and chosen from the workshop shows. those are crowned off with four invited lectures and an introductory and motivational overview.

Taken as a complete, those papers conceal nearly all the present considering in conceptual modeling research.

The workshop in query fascinated about bettering the basic realizing of the way to version continuous studying from previous studies and the way to seize wisdom from transitions among procedure states.

Active conceptual modeling is a continuing technique of describing all elements of a site, its actions, and alterations from assorted views according to our wisdom and understanding.

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Additional info for Active Conceptual Modeling of Learning: Next Generation Learning-Base System Development

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Suspicious activity Activity date Intant Report_ID time 1:1 occurs at 0:n 0:m E_id Terror_Report The core data model correspo nds to Terror_Report_Object role Person 1:1 1:m affects brings about position affiliation 1:m Event 0:m source The provenance annotation 0:1 reporting method 0:1 Recording leads to 0:1 recording method 0:1 end happens in 1:1 Geographical Location Transformation 0:1 leads to Duration start S Creation P_ID S Suspected person Loc_ID Is because of 0:m Reason Fig. 9. A Sample Conceptual Model with Provenance Annotations address 28 S.

S: DEVICE → SETTINGS, D: DEVICE → DESCRIPTION, and F: DEVICE → FUNCTION represent mappings from a device to its settings, description, and function. d e s c r ip t io n f u n c t io n s e t t in g s S In s tru m e n t D e v ic e A p p lic a tio n Fig. 7. Semantics of “Which” 26 S. Ram and J. 9 Why In this subsection, we define the semantics of “why” and provide a USM representation of the semantics in Fig. 8. Definition 9. WHY represents a set of reasons {y1, y2, …, yn} for various provenance events.

Treatise on Basic Philosophy. In: Ontology I: The Furniture of the World, vol. 3, Reidel, Boston, MA (1977) 6. : Treatise on Basic Philosophy. In: Ontology II: A World of Systems, vol. 4, Reidel, Boston, MA (1979) 7. : On the deep structure of information systems. Information Systems Journal 5 (1995) 8. : Theory of action. Prentice-Hall, Englewood Cliffs, NJ (1979) 9. : The Agent as Cause. , Walton, D. ) Action Theory, D. Reidel, Dordrecht (1975) 10. : Intelligent Database Design Using the Unifying Semantic Model.

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