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Discovery Tool: A Framework for Accelerating Academic Collaborations

Kanjariya, Mitesh Mukesh
http://rave.ohiolink.edu/etdc/view?acc_num=osu1374029435

Abstract Details

2013, Master of Science, Ohio State University, Computer Science and Engineering.
Science and technology long ago passed from luxury to necessity. Yet, the mechanisms and processes by which researchers connect still resemble the days of the filing cabinet. The state of compartmentalized research persists even as studies show that innovation in science, technology, and the arts often emerge at the nexus of these fields. In the recent past, there has been an increase in collaborative research but inter-disciplinary research remains small. Hence, in this thesis we intend to address the questions like: How can we accelerate the collaboration process among researchers? What are the patterns of academic collaboration that add value? Can we predict when collaborations will be useful? What are the factors that affect the establishment of such collaborations? To address these questions, we propose a framework that provides the architecture for developing the features of a system which will help to accelerate the academic collaboration process. The framework includes intelligent techniques to visualize the vast amount of academic data. In order to build such a generalized framework and systematically understand the requirements of a collaboration system, we first start with a basic academic search tool implemented on top of published data assets of an institution. Using the feedback from the prototype, we create a visual framework for a system which will accelerate the academic collaboration process. This framework helps in the design and implementation of collaboration features and enhances the knowledge discovery process across an institution. It also helps in connecting researchers together and enables the connection between researchers and actual or potential users. In this thesis, we provide initial architecture for an academic search system. We design and implement Discovery Tool based on this architecture. Discovery Tool acts as an interface with which agents (professionals, academics and students) interact with comprehensive data assets (publications, experts and needs). It provides us with an interface that helps to understand the future needs and requirements of a generalized framework for accelerating academic collaborations. We use the feedback from Discovery Tool to develop an integrated framework for accelerating academic collaborations. We address two research problems: • A need for design and implementation of an academic search system • To present a generalized framework for accelerating the design of an academic collaboration system
Jay Ramanathan, PhD (Advisor)
Rajiv Ramnath, PhD (Committee Member)
Caroline Wagner, PhD (Committee Member)
102 p.
Computer Science
Scientific Collaboration; Academic Search Engine

Recommended Citations

Citations

  • Kanjariya, M. M. (2013). Discovery Tool: A Framework for Accelerating Academic Collaborations [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1374029435

    APA Style (7th edition)

  • Kanjariya, Mitesh. Discovery Tool: A Framework for Accelerating Academic Collaborations. 2013. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1374029435.

    MLA Style (8th edition)

  • Kanjariya, Mitesh. "Discovery Tool: A Framework for Accelerating Academic Collaborations." Master's thesis, Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1374029435

    Chicago Manual of Style (17th edition)

osu1374029435
488
© 2013, some rights reserved.Creative Commons License Discovery Tool: A Framework for Accelerating Academic Collaborations by Mitesh Mukesh Kanjariya is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by The Ohio State University and OhioLINK.