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This book constitutes the proceedings of the 7th International
Formal Ontologies Meet Industries Workshop held in Berlin, Germany,
in August 2015. The 11 full research papers accepted for FOMI 2015
were selected from 18 submissions. The papers focus on theoretical
studies of formal ontologies committed to provide a sound basis for
industrial applications and to allow formal representation of
corporate knowledge, and on business experiences in case studies
that single out concrete problems and possible solutions in the
creation and deployment of formal ontologies. Overall, they provide
valuable insights into the current state of progress in supporting
industrial information and knowledge sharing through the
development of formal ontologies.
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 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
This book explores multidimensional issues concerning digital
resilience and analyzes how people and organizations maintain,
enhance and protect value stemming from digital technologies.
Society is now heading for a future in which organizations and
people will increasingly depend on digital technologies, yet to
date many are still unaware of the scale and risks associated with
the digital transformation. As a result, there is an urgent need
for digital resilience to drive a fundamental shift in the way
people and organizations understand digital technologies, risks and
opportunities. The book gathers a selection of the best papers
presented at the annual conference of the Italian chapter of AIS,
which took place in Trento, Italy, in October 2021. The diverse
range of views put forward by the authors makes it particularly
relevant for scholars and practitioners interested in organization,
and for all of us living in the digital transformation era.
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