000			03938nam a22005415i 4500
001			978-1-4471-5301-6
003			DE-He213
005			20140220082809.0
007			cr nn 008mamaa
008			130704s2013 xxk| s |||| 0|eng d
020			_a9781447153016 _9978-1-4471-5301-6
024	7		_a10.1007/978-1-4471-5301-6 _2doi
050		4	_aQA76.9.U83
050		4	_aQA76.9.H85
072		7	_aUYZG _2bicssc
072		7	_aCOM070000 _2bisacsh
082	0	4	_a005.437 _223
082	0	4	_a4.019 _223
100	1		_aHussein, Tim. _eeditor.
245	1	0	_aSemantic Models for Adaptive Interactive Systems _h[electronic resource] / _cedited by Tim Hussein, Heiko Paulheim, Stephan Lukosch, Jürgen Ziegler, Gaëlle Calvary.
264		1	_aLondon : _bSpringer London : _bImprint: Springer, _c2013.
300			_aXII, 204 p. 58 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aHuman–Computer Interaction Series, _x1571-5035
505	0		_aPreface -- UI²Ont – A Formal Ontology on User Interfaces and Interactions -- Generating Models of Recommendation Processes out of Annotated Ontologies -- Cognitive Semantic Categories as a Basis for a Prototype Adaptive Information System -- A Semantic Model for Adaptive Collaboration Support Systems -- A Semantics-Based, End-User-Centered Information Visualization Process for Semantic Web Data -- PASTREM: Proactive Ontology Based Recommendations for Information Workers -- Visualizing Search Results of Linked Open Data -- A Context-Aware Shopping Portal Based on Semantic Models -- Semantic Models for Interactive Systems: The Case of Tagging and Folksonomies -- User Interaction Templates for the Design of Lifelogging Systems.
520			_aProviding insights into methodologies for designing adaptive systems based on semantic data, and introducing semantic models that can be used for building interactive systems, this book showcases many of the applications made possible by the use of semantic models. Ontologies may enhance the functional coverage of an interactive system as well as its visualization and interaction capabilities in various ways. Semantic models can also contribute to bridging gaps; for example, between user models, context-aware interfaces, and model-driven UI generation. There is considerable potential for using semantic models as a basis for adaptive interactive systems. A variety of reasoning and machine learning techniques exist that can be employed to achieve adaptive system behavior. The advent and rapid growth of Linked Open Data as a large-scale collection of semantic data has also paved the way for a new breed of intelligent, knowledge-intensive applications. Semantic Models for Adaptive Interactive Systems includes ten complementary chapters written by experts from both industry and academia. Rounded off by a number of case studies in real world application domains, this book will serve as a valuable reference for researchers and practitioners exploring the use of semantic models within HCI.
650		0	_aComputer science.
650		0	_aSoftware engineering.
650	1	4	_aComputer Science.
650	2	4	_aUser Interfaces and Human Computer Interaction.
650	2	4	_aSoftware Engineering.
650	2	4	_aComputer Applications.
650	2	4	_aInformation Systems Applications (incl. Internet).
700	1		_aPaulheim, Heiko. _eeditor.
700	1		_aLukosch, Stephan. _eeditor.
700	1		_aZiegler, Jürgen. _eeditor.
700	1		_aCalvary, Gaëlle. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781447153009
830		0	_aHuman–Computer Interaction Series, _x1571-5035
856	4	0	_uhttp://dx.doi.org/10.1007/978-1-4471-5301-6
912			_aZDB-2-SCS
999			_c94827 _d94827