Exploiting Structured Linked Data in Enterprise Knowledge Management Systems: An Idea Management Case Study

Abstract

Abstract-In parallel to the effort of creating Open Linked Data for the World Wide Web there is a number of projects aimed for developing the same technologies but in the context of their usage in closed environments such as private enterprises. In the paper, we present results of research on interlinking structured data for use in Idea Management Systems -a still rare breed of knowledge management systems dedicated to innovation management. In our study, we show the process of extending an ontology that initially covers only the Idea Management System structure towards the concept of linking with distributed enterprise data and public data using Semantic Web technologies. Furthermore we point out how the established links can help to solve the key problems of contemporary Idea Management Systems.

A Model to Support Decision Making in the Idea Management Domain

“…However, according to Westerski and Iglesias (2011), among the steps of the managing ideas process, the one with the highest relevance is the assessment of the data, also being the most problematic. For Westerski;…”

“…The process of managing ideas presents itself as a promising sector for the software development industry for collecting and organizing suggestions that may catalyze innovations in products and services (Westerski & Iglesias, 2011 themselves as an alternative to manage this process. The main purpose of it is to provide tools that make possible the evaluation of the collected ideas and elect, for implementation, only the best ones (Westerski, Iglesias & Rico, 2010).…”

“…Amongst these it may be mentioned the selection of the most relevant ideas that are capable of being implemented and the funds' investments (Sint et al, 2010). Another key point is how to enhance the idea management process and make it more efficient and faster due to periods with large information overload for the software system (Sint et al, 2010;Westerski, Iglesias & Rico, 2010;Westerski & Iglesias, 2011).…”

Do Public Policies for Entrepreneurship Make a Difference? Prospective Scenarios for Canada, Ireland, and Italy

“…Outro ponto central está em como aprimorar o processo de gestão de ideias e torná-lo mais eficiente e rápido devido a períodos com grandes sobrecargas de informação para o sistema de software (Sint et al, 2010;Westerski, Iglesias & Rico, 2010;Westerski & Iglesias, 2011…”

Idea Relationship Analysis in Open Innovation Crowdsourcing Systems

“…However, Harstinski et al [17] as well as Gangi et al [14] report of poor performance of those methods in terms of relevancy to amount of implemented ideas and impact on idea selections. Such state has triggered researchers to investigate other possibilities for idea assessment such as: prediction markets [9], problem solving approaches [5], calculating new types of metrics [12] or using data from other enterprise systems to automatically assess ideas [25], [29]. The research presented in this paper, similarity as prediction markets attempts to employ crowds to aid idea assessment but also determines relevancy of some of previously developed metrics to aid selection of similar ideas.…”