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008			220601s2013 sz | o |||| 0|eng d
020			_a9783031794414
024	7		_a10.1007/978-3-031-79441-4 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTK5105.88815 _b2013 EB
100	1		_aSimperl, Elena _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687713
245	1	0	_aIncentive-Centric Semantic Web Application Engineering _cby Elena Simperl, Roberta Cuel, Martin Stein
250			_a1st edition 2013
264		1	_aCham _bSpringer International Publishing _c2013
300			_a1 recurso en línea (XII, 105 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Data Semantics and Knowledge _x2691-2031
505	0		_aSemantic Data Management: A Human-driven Process -- Fundamentals of Motivation and Incentives -- Case Study: Motivating Employees to Annotate Content -- Case Study: Building a Community of Practice Around Web Service Management and Annotation -- Case Study: Games with a Purpose for Semantic Content Creation -- Conclusions.
520			_aWhile 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 Semantic Web 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. Table of Contents: Semantic Data Management: A Human-driven Process / Fundamentals of Motivation and Incentives / Case Study: Motivating Employees to Annotate Content / Case Study: Building a Community of Practice Around Web Service Management and Annotation / Case Study: Games with a Purpose for Semantic Content Creation / Conclusions.
988			_aSynthesis Collection of Technology_2013
650		7	_2embne _9163805 _aWeb semántica
650		7	_2embne _9328472 _aPáginas Web _xDesarrollo
700	1		_aCuel, Roberta _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687714
700	1		_aStein, Martin _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687715
776	0	8	_iPrinted edition: _z9783031794407
776	0	8	_iPrinted edition: _z9783031794421
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-79441-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2023 _dz _eb _zSI