Generating Social Innovation with Knowledge Engineering
نویسندگان
چکیده
منابع مشابه
Knowledge effectiveness, social context and innovation
Purpose – The purpose of this paper is to conduct an investigation into knowledge-sharing mechanisms by empirically testing the role that context plays in the transfer of actionable knowledge, and, in turn, for innovation. Design/methodology/approach – A multiple-respondents survey was performed in 72 business units of companies belonging to the ICT, pharmaceutical and food industries in Greece...
متن کاملSocial Media Crowdsourcing: Supporting User-Driven Innovation by Generating Ideas
This article makes an attempt to understand crowdsourcing and its increasing importance in organizations. It explores how crowd acts as a problem solver and crowdsourcing generates ideas that lead to open innovation for an organization. The paper also throws light on how with the arrival and advancement of digital technologies, the concept of crowdsourcing has gained popularity and has received...
متن کاملGenerating Innovation with Semantically Enabled TasLab Portal
In this paper we present a concrete case study in which semantic technology has been used to enable a territorial innovation. Firstly, we describe a scenario of the ICT regional demand in Trentino, Italy; where the main idea of territorial innovation is based on the so-called innovation tripole. Specifically, we believe that innovation arises as a result of the synergic coordination and technol...
متن کاملGenerating Knowledge-Based System Generators: A Software Engineering Approach
This paper investigates software engineering techniques for designing and reengineering knowledgebased system generators, focusing on inference engines and domain specific languages. Indeed, software development of knowledge-based systems is a difficult task. We choose a software engineering approach to favor code reuse, evolution, and maintenance. We propose a software platform named Lama to d...
متن کاملSemantic Social Recommendations in Knowledge-Based Engineering
We examine the application of semantic context-aware Recommender Systems to improve interaction and navigation in a design-centric engineering domain. The small scale of this specialised environment renders most Web-scale solutions unsuitable, mandating tailored approaches. We report on initial work to identify challenges and promising categories of personalisation and adaptation together with ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Procedia - Social and Behavioral Sciences
سال: 2016
ISSN: 1877-0428
DOI: 10.1016/j.sbspro.2016.05.341