Overview
- Authors:
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Jakub Šimko
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Informatics and Software Engineering, Slovak University of Technology, Bratislava, Slovakia
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Mária Bieliková
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Institute of Informatics and Software Engineering, Slovak University of Technology in Bratislava, Bratislava, Slovakia
- A comprehensive and extensive review of state-of-the-art in semantics acquisition game (SAG) design
- A set of design patterns for SAG designers
- A set of case studies (real SAG projects) demonstrating the use of SAG design patterns
- Includes supplementary material: sn.pub/extras
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Table of contents (9 chapters)
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- Jakub Šimko, Mária Bieliková
Pages 1-6
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Games for Semantics Acquisition
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- Jakub Šimko, Mária Bieliková
Pages 9-33
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- Jakub Šimko, Mária Bieliková
Pages 35-50
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- Jakub Šimko, Mária Bieliková
Pages 51-65
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- Jakub Šimko, Mária Bieliková
Pages 67-80
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- Jakub Šimko, Mária Bieliková
Pages 81-92
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Designing the Semantics Acquisition Games
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- Jakub Šimko, Mária Bieliková
Pages 95-117
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- Jakub Šimko, Mária Bieliková
Pages 119-137
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- Jakub Šimko, Mária Bieliková
Pages 139-141
About this book
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.
Authors and Affiliations
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Informatics and Software Engineering, Slovak University of Technology, Bratislava, Slovakia
Jakub Šimko
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Institute of Informatics and Software Engineering, Slovak University of Technology in Bratislava, Bratislava, Slovakia
Mária Bieliková