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020 _a9783319586946
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024 7 _a10.1007/978-3-319-58694-6
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050 4 _aQ334-342
050 4 _aTA347.A78
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072 7 _aCOM004000
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072 7 _aUYQ
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082 0 4 _a006.3
_223
245 1 0 _aKnowledge Engineering and Knowledge Management
_h[electronic resource] :
_bEKAW 2016 Satellite Events, EKM and Drift-an-LOD, Bologna, Italy, November 19-23, 2016, Revised Selected Papers /
_cedited by Paolo Ciancarini, Francesco Poggi, Matthew Horridge, Jun Zhao, Tudor Groza, Mari Carmen Suarez-Figueroa, Mathieu d'Aquin, Valentina Presutti.
250 _a1st ed. 2017.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2017.
300 _aXIV, 288 p. 61 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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_2rda
490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v10180
520 _aThis book contains the best selected papers of two Satellite Events held at the 20th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2016, in November 2016 in Bologna, Italy: The Second International Workshop on Educational Knowledge Management, EKM 2016, and the First Workshop: Detection, Representation and Management of Concept Drift in Linked Open Data, Drift-an-LOD 2016. The 6 revised full papers included in this volume were carefully reviewed and selected from the 13 full papers that were accepted for presentation at the conference from the initial 82 submissions. This volume also contains the 37 accepted contributions for the EKAW 2016 tutorials, demo and poster sessions, and the doctoral consortium. The special focus of this year's EKAW was "evolving knowledge", which concerns all aspects of the management and acquisition of knowledge representations of evolving, contextual, and local models. This includes change management, trend detection, model evolution, streaming data and stream reasoning, event processing, time-and space dependent models, contextual and local knowledge representations with a special emphasis on the evolvability and localization of knowledge and the correct usage of these limits.
650 0 _aArtificial intelligence.
_93407
650 0 _aNatural language processing (Computer science).
_94741
650 0 _aMachine theory.
_9165212
650 0 _aData mining.
_93907
650 0 _aInformation technology
_xManagement.
_95368
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aNatural Language Processing (NLP).
_931587
650 2 4 _aFormal Languages and Automata Theory.
_9165213
650 2 4 _aData Mining and Knowledge Discovery.
_9165214
650 2 4 _aComputer Application in Administrative Data Processing.
_931588
700 1 _aCiancarini, Paolo.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
_9165215
700 1 _aPoggi, Francesco.
_eeditor.
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_9165216
700 1 _aHorridge, Matthew.
_eeditor.
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_9165217
700 1 _aZhao, Jun.
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_9165218
700 1 _aGroza, Tudor.
_eeditor.
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_9165219
700 1 _aSuarez-Figueroa, Mari Carmen.
_eeditor.
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_9165220
700 1 _ad'Aquin, Mathieu.
_eeditor.
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_9165221
700 1 _aPresutti, Valentina.
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_9165222
710 2 _aSpringerLink (Online service)
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
_z9783319586953
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v10180
_9165224
856 4 0 _uhttps://doi.org/10.1007/978-3-319-58694-6
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