The success of Linked Data project has played a vital role in the realization of the Semantic Web on a global stage. It has motivated people to publish datasets which are important for information linking, resource discovery and can further make contributions in shaping the Web as a single connected data space. This effort has successfully amassed a variety of Linked Data and has introduced many novel ways for the publishing of data. As a result, putting Linked Data online has become rather easy, but actually linking the data with already existing data in the cloud and further on presentation of post-interlinking data are still researchable challenges. The search and identification of relevant datasets as well as devising a strategy for linking to these datasets with post-organization of interlinked data for human perceivable presentation is still a difficult task. In this paper, a novel approach is presented which 1) highlights and implements the steps involved in the interlinking process and 2) proposed a proof of concept application for automatic generation of an organized profile for post interlinked data presentation. These approaches are applied and presented as a case study focusing on interlinking scholarly communication datasets and highlighting the potential benefits of Linked Data. This study has interlinked two semantified scholarly datasets and was successfully able to discover new resources which were further organized into profile for showcasing potentials of Linked Data. Categories and Subject Descriptors: I.2.8 (Problem Solving, Control Methods, and Search); Heuristic methods
['Atif Latif', 'Klaus Tochtermann']
Webbing Semantified Scholarly Communication Datasets for Improved Resource Discovery