Towards a Dimensional Model for Community Knowledge

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Poster paper for the 2017 International Conference on Knowledge Management. This paper proposes a dimensional model with "aspects of a corpus, such as topic or opinion, as derived star schema dimensions." Focusing on a case study on Twitter the paper demonstrates how the derived dimensions, combined with transactional facts and derived facts can uncover "the collective tacit knowledge in Twitter communities."

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3 p.

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Shakeri, Shadi & Evangelopoulos, Nicholas October 25, 2017.

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This paper is part of the collection entitled: International Conference on Knowledge Management (ICKM) and was provided by the UNT College of Information to the UNT Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 88 times. More information about this paper can be viewed below.

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UNT College of Information

Situated at the intersection of people, technology, and information, the College of Information's faculty, staff and students invest in innovative research, collaborative partnerships, and student-centered education to serve a global information society. The college offers programs of study in information science, learning technologies, and linguistics.

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Poster paper for the 2017 International Conference on Knowledge Management. This paper proposes a dimensional model with "aspects of a corpus, such as topic or opinion, as derived star schema dimensions." Focusing on a case study on Twitter the paper demonstrates how the derived dimensions, combined with transactional facts and derived facts can uncover "the collective tacit knowledge in Twitter communities."

Physical Description

3 p.

Notes

Abstract: Knowledge management (KM) typically includes processes for representing, acquiring, storing, accessing, and disseminating knowledge. In today’s economy, the creation and access to new forms of knowledge are recognized as a firm’s competitive source of advantage, innovation, and growth. In search for innovating approaches, analytics offers opportunities for extended KM capabilities that include the uncovering of hidden layers of organizational knowledge. While many KM frameworks consider document collections, or corpora, as sources of intelligent information, processes for systematic transformation of individuals’ tacit knowledge into community tacit knowledge (collective tacit knowledge) are understudied. In a typical data warehouse design, activity and transaction events are recorded in a fact table that is surrounded by dimensions that represent entities such as user, product, time, etc. Inspired by this data warehouse “star schema”, we propose a dimensional model that includes hidden aspects of a corpus, such as topic or opinion, as derived star schema dimensions. In a case study that focuses on Twitter as a knowledge community, we demonstrate that the derived dimensions can be combined with other transactional facts, such as the username, or the tweet text, and derived facts, such as a tweet’s topic, or a tweet’s sentiment, to uncover the collective tacit knowledge in Twitter communities.

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  • 13th International Conference on Knowledge Management, October 25-26, 2017. Dallas, TX, United States

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International Conference on Knowledge Management (ICKM)

Serving as digital proceedings, this collection includes papers, posters, and slides from invited talks as well as practitioner and sponsor presentations for the annual International Conference on Knowledge Management (ICKM).

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  • October 25, 2017

Added to The UNT Digital Library

  • Oct. 26, 2017, 3:36 p.m.

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  • Nov. 13, 2023, 10:35 a.m.

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Shakeri, Shadi & Evangelopoulos, Nicholas. Towards a Dimensional Model for Community Knowledge, paper, October 25, 2017; (https://digital.library.unt.edu/ark:/67531/metadc1036556/: accessed July 24, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT College of Information.

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