Innovation is currently recognized as an essential competitive enabler for any organization that wants to survive and grow. In addition, organizations feel a growing need to open up their internal innovation processes and to integrate innovation management tools. But, due to the distributed and heterogeneous characteristics of innovation knowledge, it becomes more difficult to manage the innovation process effectively and efficiently. However, the emerging and rapid development of semantic web technologies brings new opportunities. In this paper, a novel modular ontology that provides a semantic representation of innovation and a common language to foster interoperability, declarativity, and intelligent services between tools and to support the innovation life cycle is introduced. Our Innovation Management Ontology consists of three sub-ontologies that refer to three factors, which are: innovation core-Idea-, innovation actor and innovation context, we have identified as cornerstones of any successful innovation. 

Faced with an increasingly changing business environment, being flexible and more innovative has become an obligation for organizations. To better innovate and remain competitive, organizations must use all their knowledge, proficiencies and abilities of people to consistently create new creative products and services. Our work is centered on the beginning of the innovation process, commonly referred to as "Fuzzy Front End" focusing on Idea generation for new product development. The current paper presents a qualitative approach for managing idea generation stage within an innovation management process in order to ensure an improved quality of the first draft of Idea generation stage outputs. This paper presents a theoretical construct, defined as a qualitative approach to manage the emergence of Idea that aims to support activities of the Front End of innovation. We first present the global context of this work, the LifeCycle and the core concepts adopted for the idea generation. Next, we explore and discuss based on a set of defined characteristics some of existing creativity techniques. Then, we provide an overview of the quality concept in order to guide our research on developing a qualitative approach to support the idea generation stage. Finally, we conclude with future research directions for implementing the developed approach.

In order to develop the ability to be competitive in considering rapid ly growing global market and enormously changing in technology, organizations are looking for up -to-date procedures to respond to all these transformations. Being smart and innovative is actually the most significant pillars of successful organization strategies. In other words, organizations need to encourage learning, manage knowledge and create innovative ideas. A major issue of creative ideation is improv ing the quality of the ideas generated. In this paper, we propose a semantic reco mmender engine for idea generation in order to assist organizations to imp rove their ways of generating new ideas. Through this novel system, innovation actors will be ab le to consider new perspectives, make new connections, think differently and thus produce new promising ideas. We initially introduce the concept behind a smart organization, explore the idea generation in such organizations and examine the role of recommender systems for managing this stage and identifying breakthrough ideas. Next, we present the context of design, the conceptual architecture of the suggested system and finally expand the workflo w of semantic similarity matching of ideas with a focus on the key components of the semantic recommendation engine.