Information search and classification to foster innovation in SMEs The AREA Science Park experience [chapter]

F. Neri
2005 Text Mining and its Applications to Intelligence, CRM and Knowledge Management  
The AREA Science Park is the first and largest science park in Italy, with more than 70 public institutions, industrial laboratories, and research institutes, as well as 1,700 working people. Its activities are managed and promoted by the Consorzio per l'AREA di Ricerca, the public institution specifically designed to foster its development. This consortium has recently contributed to the social and economic development of Friuli Venezia Giulia, in the North-East of Italy. In fact, it has paid
more » ... fact, it has paid an increasing attention to the creation of a network of firms and local universities, supporting them in their research activities, and facilitating the propagation of technological innovations. To achieve its goals, the Consorzio per l'AREA di Ricerca has created a Technology Transfer Division (TTD), aiming to promote information and innovation awareness among the local small and medium enterprises (SMEs). Nowadays, these companies are able to monitor technological trends and discover their competitors' strategies by the TTD Search Engine for patents, based on TEMIS Online Miner Light. The SMEs can access this service by a simple Internet browser, search for documents, and then classify the results according to the terminologies they share. Classification of documents is performed according to the Unsupervised and the Hierarchical classification methods, allowing to explore the detected thematic groups and subdivide them into more specific themes. Thus, users can access documents by their topics and have an overview of their contents. A successful way of cutting through the information labyrinth. • A package of on-line services has been activated to encourage the use of Internet to search for information, keep updated and discover new solutions to increase business competitiveness.
doi:10.2495/978-1-85312-995-7/18 fatcat:xmjiqd7hbzeunfszptse6ubvfu