یک پلت فرم مبتنی بر معناشناختی برای مدیریت صندوق سرمایه گذاری پروژه "تحقیق و توسعه"

Innovation is one of the keys to success in the business world, particularly within the current economic climate. R&D projects constitute the building blocks of the innovation process, hence the importance of searching for funding for these projects. As ontologies and semantic technologies mature, they provide a consistent and reliable means to represent and aggregate knowledge from different sources. The present work explores the use of ontologies to model R&D grant funding calls and the application of semantic technologies to the development of an enhanced funding management system. Our experiments confirm the success of the proposed approach, and reveal that it may bring considerable benefits to R&D funding.

Innovation involves developing, assuming and successfully exploiting new possibilities in the financial and social fields in an attempt to bring new solutions to problems and to enable the fulfilment of the needs of both individuals and society. Innovation has been extremely valuable for decades, and is becoming even more important within the current global economic context. The discovery of new improved products or services can certainly lead to competitive advantages for companies, thus differentiating them from their competitors. In practice, innovation usually means improving the quality of products and reducing their price, in addition to boosting productivity. Closely related to the concept of innovation in corporations is research and development (R&D) project management, which is defined as a general set of processes and procedures with which to ensure that the company succeeds in all its objectives. R&D project management is an important task for government-funding agencies and research institutions, and usually involves several phases, namely, proposal writing, funding selection, proposal submission, project selection, approved project administration and project deliverable dissemination. If the critical decisions of each one of these phases in R&D project management are to be supported, then project related information needs to be shared among different parties with disparate knowledge backgrounds and at different organisational levels [1]. Project selection and funding is therefore an important task in both for-profit and not-for-profit organisations, and is applied to a wide and diverse range of decisions: the dynamic selection and trimming of R&D investment, the dynamic selection of risky capital investments, etc. [2].

Achieving sustainable competitive advantages is a must in today's economy. Innovation is one of the main sources of competitive advantage, and it is therefore the key to success in the present-day business world. In most cases, innovation can lead to an increase in profits by improving the quality of the outcome and decreasing production costs. R&D projects are the building blocks of the innovation process. They form a sound basis that allows companies to fulfil their business and strategic objectives. In this context, investing more and effectively in R&D in order to foster new competitive advantages is a fundamental requirement for the survival of most organisations as the global marketplace becomes more crowded and competitive. However, traditional R&D management systems are fraught with problems resulting from the need to share heterogeneous data among different departments and levels.