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020 _a9783540775034
_9978-3-540-77503-4
024 7 _a10.1007/978-3-540-77503-4
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aActive Conceptual Modeling of Learning
_h[electronic resource] :
_bNext Generation Learning-Base System Development /
_cedited by Peter P. Chen, Leah Y. Wong.
250 _a1st ed. 2007.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2007.
300 _aVIII, 227 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aInformation Systems and Applications, incl. Internet/Web, and HCI,
_x2946-1642 ;
_v4512
505 0 _aProceedings of Active Conceptual Modeling-Learning (ACM-L) Workshop, November 8, 2006, Tucson, Arizona, USA -- Overview of Papers in 2006 Active Conceptual Modeling of Learning (ACM-L) Workshop -- Architecture for Active Conceptual Modeling of Learning -- Understanding the Semantics of Data Provenance to Support Active Conceptual Modeling -- Adaptive and Context-Aware Reconciliation of Reactive and Pro-active Behavior in Evolving Systems -- A Common Core for Active Conceptual Modeling for Learning from Surprises -- Actively Evolving Conceptual Models for Mini-World and Run-Time Environment Changes -- Achievements and Problems of Conceptual Modelling -- Metaphor Modeling on the Semantic Web -- Schema Changes and Historical Information in Conceptual Models in Support of Adaptive Systems -- Using Active Modeling in Counterterrorism -- To Support Emergency Management by Using Active Modeling: A Case of Hurricane Katrina -- Using Ontological Modeling in a Context-Aware Summarization System to Adapt Text for Mobile Devices -- Accommodating Streams to Support Active Conceptual Modeling of Learning from Surprises -- Invited Paper -- Approaches to the Active Conceptual Modelling of Learning -- Spatio-temporal and Multi-representation Modeling: A Contribution to Active Conceptual Modeling -- Postponing Schema Definition: Low Instance-to-Entity Ratio (LItER) Modelling -- Research Issues in Active Conceptual Modeling of Learning: Summary of Panel Discussions in Two Workshops (May 2006) and (November 2006).
650 0 _aArtificial intelligence.
_93407
650 0 _aData mining.
_93907
650 0 _aApplication software.
_9156754
650 0 _aMachine theory.
_9156755
650 0 _aComputer science.
_99832
650 0 _aSoftware engineering.
_94138
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aData Mining and Knowledge Discovery.
_9156756
650 2 4 _aComputer and Information Systems Applications.
_9156757
650 2 4 _aFormal Languages and Automata Theory.
_9156758
650 2 4 _aModels of Computation.
_931806
650 2 4 _aSoftware Engineering.
_94138
700 1 _aChen, Peter P.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9156759
700 1 _aWong, Leah Y.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9156760
710 2 _aSpringerLink (Online service)
_9156761
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783540775027
776 0 8 _iPrinted edition:
_z9783540847014
830 0 _aInformation Systems and Applications, incl. Internet/Web, and HCI,
_x2946-1642 ;
_v4512
_9156762
856 4 0 _uhttps://doi.org/10.1007/978-3-540-77503-4
912 _aZDB-2-SCS
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