Monitoring Research Collaborations Using Semantic Web Technologies

Abstract

Abstract. In the current research environment, funding agencies are increasingly required to demonstrate that the projects they fund represent value for money. When funds are disbursed in a speculative manner, in order to stimulate interdisciplinary collaboration, the determination of value for money relies on evidence that shows the generation of new collaborations. This paper summarises the work we carried out on behalf of the Engineering and Physical Sciences Research Council (EPSRC), in which we have implemented a set of applications to enable the research council to examine the existence and nature of collaborations between researchers. We have used Semantic Web technologies to construct a flexible application framework to provide multiple complementary visualisations of the data, while separating the issues of knowledge acquisition and curation from the more user-centric interface requirements.

Web Science: Understanding the Emergence of Macro-Level Features on the World Wide Web

“…Understanding provenance will help the LDW develop as a medium for scientific research; Moreau [254] argues that provenance information is crucial for allowing reproducibility of data creation, and the consequent validation of results both final and intermediate. This is one of the reasons why the Semantic Web has long been thought of as a key enabler for the development of e-science [104], and indeed as a means of administering it too [6]. In developing methods for assessing the trustworthiness of data, it is likely that different methods will be needed for particular 'brands' of data (e.g., from university departments, governments or respected private institutions), and then again for the 'long tail' of smaller data providers whose names are less well known (particularly if they work in a relatively unfamiliar domain).…”

Web Science: Understanding the Emergence of Macro-Level Features on the World Wide Web

“…Understanding provenance will help the LDW develop as a medium for scientific research; Moreau [254] argues that provenance information is crucial for allowing reproducibility of data creation, and the consequent validation of results both final and intermediate. This is one of the reasons why the Semantic Web has long been thought of as a key enabler for the development of e-science [104], and indeed as a means of administering it too [6]. In developing methods for assessing the trustworthiness of data, it is likely that different methods will be needed for particular 'brands' of data (e.g., from university departments, governments or respected private institutions), and then again for the 'long tail' of smaller data providers whose names are less well known (particularly if they work in a relatively unfamiliar domain).…”

Winnowing Ontologies Based on Application Use

“…The AKTRO and its KB are used to support a number of on-site and off-site applications, such as OntoCoPI [3], CSAktiveSpace [17], AKT Technologies dynamic web pages 3 , Armadillo [7] from Sheffield University, and any other ad hoc works, such as [1], or even queries directly typed by users.…”