000 04044nam a22005775i 4500
001 978-1-4471-5301-6
003 DE-He213
005 20200421111837.0
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
245 1 0 _aSemantic Models for Adaptive Interactive Systems
_h[electronic resource] /
_cedited by Tim Hussein, Heiko Paulheim, Stephan Lukosch, J�urgen Ziegler, Ga�elle Calvary.
264 1 _aLondon :
_bSpringer London :
_bImprint: Springer,
_c2013.
300 _aXII, 204 p.
_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 -- UIp2(BOnt - 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 0 _aUser interfaces (Computer systems).
650 0 _aApplication software.
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 _aHussein, Tim.
_eeditor.
700 1 _aPaulheim, Heiko.
_eeditor.
700 1 _aLukosch, Stephan.
_eeditor.
700 1 _aZiegler, J�urgen.
_eeditor.
700 1 _aCalvary, Ga�elle.
_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
942 _cEBK
999 _c55347
_d55347