Record:   Prev Next
Author Simperl, Elena
Title Incentive-centric semantic web application engineering [electronic resource] / Elena Simperl, Roberta Cuel, Martin Stein
Imprint San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool, c2013
book jacket
Descript 1 electronic text (xii, 105 p.) : ill., digital file
Series Synthesis lectures on the semantic web, theory and technology ; # 4
Synthesis digital library of engineering and computer science
Synthesis lectures on the semantic web, theory and technology ; # 4
Note Part of: Synthesis digital library of engineering and computer science
Series from website
Includes bibliographical references (p. 93-104)
Preface -- 1. Semantic data management: a human-driven process -- 1.1 Fundamentals of semantic data management -- 1.2 Creating, managing, and using semantic data -- 1.2.1 Overview of the scenarios -- 1.2.2 Developing ontologies -- 1.2.3 Creating instance data -- 1.2.4 Supporting ontology development -- 1.3 Attracting human contributions -- 1.4 Examples of incentivized semantic web applications -- 1.4.1 The social semantic web -- 1.4.2 The Onto Tube video annotation game -- 1.4.3 The taste it! Try it! Restaurant reviewing application -- 1.5 Structure of the book --
2. Fundamentals of motivation and incentives -- 2.1 Introduction -- 2.2 Defining motivation -- 2.3 The concept of motivation in organizational studies -- 2.4 Relevant variables for semantic content creation tasks -- 2.4.1 The goal of semantic content creation -- 2.4.2 The tasks -- 2.4.3 The social structure -- 2.4.4 The nature of the good -- 2.5 The framework --
3. Case study: motivating employees to annotate content -- 3.1 Aims and objectives -- 3.2 Methods used -- 3.3 Case study description: the OK enterprise -- 3.3.1 First and second phases -- 3.3.2 Third phase -- 3.3.3 Fourth phase: preliminary results -- 3.3.4 Fourth phase: the first laboratory experiment -- 3.3.5 Fourth phase: the gamification of the task -- 3.3.6 Fourth phase: the second laboratory experiment -- 3.3.7 Fourth phase: the field experiment -- 3.4 Results and lessons learned --
4. Case study: building a community of practice around web service management and annotation -- 4.1 Aims and objectives -- 4.2 Methods used -- 4.2.1 Usability test -- 4.2.2 Interviews -- 4.2.3 Workshop -- 4.3 Case study description -- 4.3.1 Initial requirement analysis -- 4.3.2 Applying open participatory design -- 4.3.3 Increase user participation by utilizing crowdsourcing mechanisms -- 4.3.4 Web service annotation wizard for MTurk -- 4.4 Results and lessons learned --
5. Case study: games with a purpose for semantic content creation -- 5.1 Aims and objectives -- 5.2 Methods used -- 5.3 Case study description -- 5.3.1 Core components of GWAPs -- 5.3.2 SpotTheLink -- 5.3.3 Phrase detectives -- 5.3.4 WhoKnows? -- 5.3.5 Matchin -- 5.3.6 Universe game -- 5.3.7 TubeLink -- 5.4 Building new games -- 5.4.1 The OntoGame generic gaming toolkit -- 5.4.2 Design principles and open issues --
Conclusions -- Bibliography -- Authors' biographies
Abstract freely available; full-text restricted to subscribers or individual document purchasers
Compendex
INSPEC
Google scholar
Google book search
Mode of access: World Wide Web
System requirements: Adobe Acrobat Reader
While many Web 2.0-inspired approaches to semantic content authoring do acknowledge motivation and incentives as the main drivers of user involvement, the amount of useful human contributions actually available will always remain a scarce resource. Complementarily, there are aspects of semantic content authoring in which automatic techniques have proven to perform reliably, and the added value of human (and collective) intelligence is often a question of cost and timing. The challenge that this book attempts to tackle is how these two approaches (machine- and human-driven computation) could be combined in order to improve the cost/performance ratio of creating, managing, and meaningfully using semantic content. To do so, we need to first understand how theories and practices from social sciences and economics about user behavior and incentives could be applied to semantic content authoring. We will introduce a methodology to help software designers to embed incentives-minded functionalities into semantic applications, as well as best practices and guidelines. We will present several examples of such applications, addressing tasks such as ontology management, media annotation, and information extraction, which have been built with these considerations in mind. These examples illustrate key design issues of incentivized SemanticWeb applications that might have a significant effect on the success and sustainable development of the applications: the suitability of the task and knowledge domain to the intended audience, and the mechanisms set up to ensure high-quality contributions, and extensive user involvement
Also available in print
Title from PDF t.p. (viewed on February 17, 2013)
Morgan & Claypool
Link Print version: 9781608459957
Subject Semantic Web
Semantic computing
Data structures (Computer science)
semantic content creation
ontology engineering
media annotation
information extraction
Web service annotation motivation
incentives
mechanism design
participatory design
games with a purpose
gamification
Alt Author Cuel, Roberta
Stein, Martin
Record:   Prev Next