000 03396nam a22004695i 4500
001 978-3-319-06115-3
003 DE-He213
005 20200421112230.0
007 cr nn 008mamaa
008 140410s2014 gw | s |||| 0|eng d
020 _a9783319061153
_9978-3-319-06115-3
024 7 _a10.1007/978-3-319-06115-3
_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 _aŠimko, Jakub.
_eauthor.
245 1 0 _aSemantic Acquisition Games
_h[electronic resource] :
_bHarnessing Manpower for Creating Semantics /
_cby Jakub Šimko, M�aria Bielikov�a.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _aIX, 141 p. 28 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aIntroduction -- Part I Games for Semantics Acquisition -- State-of-the-art: semantics acquisition and crowdsourcing -- State-of-the-art: Semantics Acquisition Games -- Little Search Game: lightweight domain modeling -- PexAce: a method for image metadata acquisition -- CityLights: a method for music metadata validation -- Part II Designing the Semantics Acquisition Games -- State-of-the-art: design of the semantics acquisition games -- Our SAGs: design aspects and improvements -- Looking Ahead.
520 _aMany applications depend on the effective acquisition of semantic metadata, and this state-of-the-art volume provides extensive coverage of the field of semantics acquisition games (SAGs). SAGs are a part of the crowdsourcing approach family and the authors analyze their role as tools for acquisition of resource metadata and domain models. Three case studies of SAG-based semantics acquisition methods are shown, along with other existing SAGs: 1.       the Little Search Game - a search query formulation game using negative search, serving for acquisition of lightweight semantics 2.       the PexAce - a card game acquiring annotations to images 3.       the CityLights - a SAG used for validation of music metadata. The authors also look at the SAGs from their design perspectives covering  SAG design issues and existing patterns, including several novel patterns. For solving cold start problems, a "helper artifact" scheme is presented, and for dealing with malicious player behavior, a posteriori cheating detection scheme is given. The book also presents methods for assessing information about player expertise, which can be used to make SAGs more effective in terms of useful output.
650 0 _aComputer science.
650 0 _aUser interfaces (Computer systems).
650 1 4 _aComputer Science.
650 2 4 _aUser Interfaces and Human Computer Interaction.
650 2 4 _aInformation Systems Applications (incl. Internet).
700 1 _aBielikov�a, M�aria.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319061146
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-06115-3
912 _aZDB-2-SCS
942 _cEBK
999 _c57917
_d57917