In this paper, we use feature extraction and data analysis techniques for the elucidation of patterns and trends in technological innovation. In studying innovation, we focus on the role of public research institutions (research universities and national laboratories) in the development of new...

This paper describes the application of data mining techniques for eludicating patterns and trends in technological innovation. Specifically, we focus on the use of bibliometric methods, viz techniques which focus on trends in the publication of text documents rather than the content of these...

We are investigating trend extrapolation using historical data from academic publications to forecast future technology directions. Many sources of academic information on the Web (e.g., Google Scholar, Scirus) provide a wealth of relevant information, yet they are not structured for...

Technological advances such as Service Oriented Architecture (SOA) have increased the feasibility and importance of effectively integrating information from an ever widening number of systems within and across enterprises. A key difficulty of achieving this goal comes from the pervasive...

This paper presents an approach to bibliometric analysis in the context of technology mining. Bibliometric analysis refers to the use of publication database statistics, e.g., hit counts relevant to a topic of interest. Technology mining facilitates the identification of a technology's research...

In the era of Global Services, Service Oriented Architecture (SOA) has been gaining momentum for building Web-based information systems. Service composition is one of the key objectives for adopting SOA. Unfortunately, Web services are not always exactly compatible and it is a non-trivial task...