| Author |
Simperl, Elena.
|
| Title |
Incentive-centric semantic web application engineering / Elena Simperl, Roberta Cuel, Martin Stein. |
| OCLC |
201212WBE004 |
| ISBN |
9781608459964 (electronic bk.) |
|
9781608459957 (pbk.) |
| ISBN/ISSN |
10.2200/S00460ED1V01Y201212WBE004 doi |
| Publisher |
San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool, [2013] |
|
©2013 |
| Description |
1 electronic text (xii, 105 pages) : illustrations, digital file. |
| LC Subject heading/s |
Semantic Web.
|
|
Semantic computing.
|
|
Data structures (Computer science)
|
| System details note |
Mode of access: World Wide Web. |
|
System requirements: Adobe Acrobat Reader. |
| Source of Description |
Title from PDF t.p. (viewed on February 17, 2013). |
| Contents |
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 -- |
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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 -- |
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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 -- |
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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. |
| Restrictions |
Abstract freely available; full-text restricted to subscribers or individual document purchasers. |
|
Access may be restricted to authorized users only. |
|
Unlimited user license access |
| Bibliography |
Includes bibliographical references (pages 93-104). |
| NOTE |
Compendex. |
|
INSPEC. |
|
Google book search. |
| Abstract |
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. |
| NOTE |
Google scholar. |
| Additional physical form available note |
Also available in print. |
| General note |
Part of: Synthesis digital library of engineering and computer science. |
|
Series from website. |
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