03959nam 22006135 450 991029856770332120201107170747.03-319-06115-110.1007/978-3-319-06115-3(CKB)2560000000148948(EBL)1697659(OCoLC)881165797(SSID)ssj0001199759(PQKBManifestationID)11692876(PQKBTitleCode)TC0001199759(PQKBWorkID)11214708(PQKB)10011080(MiAaPQ)EBC1697659(DE-He213)978-3-319-06115-3(PPN)178318205(EXLCZ)99256000000014894820140410d2014 u| 0engur|n|---|||||txtccrSemantic Acquisition Games Harnessing Manpower for Creating Semantics /by Jakub Šimko, Mária Bieliková1st ed. 2014.Cham :Springer International Publishing :Imprint: Springer,2014.1 online resource (143 p.)Description based upon print version of record.3-319-06114-3 Includes bibliographical references at the end of each chapters and index.Introduction -- 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.Many 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.User interfaces (Computer systems)Application softwareUser Interfaces and Human Computer Interactionhttps://scigraph.springernature.com/ontologies/product-market-codes/I18067Information Systems Applications (incl. Internet)https://scigraph.springernature.com/ontologies/product-market-codes/I18040User interfaces (Computer systems).Application software.User Interfaces and Human Computer Interaction.Information Systems Applications (incl. Internet).004005.437005.7401.93Šimko Jakubauthttp://id.loc.gov/vocabulary/relators/aut993460Bieliková Máriaauthttp://id.loc.gov/vocabulary/relators/autBOOK9910298567703321Semantic Acquisition Games2274715UNINA