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Knowledge Networks and Knowledge Adjacencies

Published: 29 October 2015 Publication History

Abstract

The modern enterprise is becoming larger and geographically distributed. The structure of companies is also becoming more complicated. Oraganizations are depending on knowledge within the enterprise and outside the enterprise. More and more individuals within organizations are parts of communities of practice which at times extend the boundaries of organizations. This necessitates people in the enterprise to have access to other individuals based on their roles and expertise [12]. Individuals within teams are constantly looking for sources of expertise that they don't have. In larger organizations, it becomes extremely difficult to identify the individuals that have the relevant expertise and get in touch with the individuals.
Organizations and communities of practice have deployed knowledge management system to solve this problem with the belief that better implementation of information technologies [4] would result in more knowledge sharing and this would benefit the organizations. This has resulted in knowledge management research community being too focused on IT. A significant amount of knowledge is generated within the enterprise in communities of practice that consist of individuals both from within the enterprise and external to enterprise.
There is no standard way to represent and access knowledge in the enterprise. Most of the knowledge within the enterprise resides in the form of documents, communications and in the mind of people. In this paper we define a way to represent the knowledge in the form of knowledge ontology. We also define system for generating knowledge networks that exist within the organization.

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Published In

cover image ACM Other conferences
Compute '15: Proceedings of the 8th Annual ACM India Conference
October 2015
142 pages
ISBN:9781450336505
DOI:10.1145/2835043
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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  • ACM India: ACM India

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 October 2015

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Author Tags

  1. Graph Theory
  2. Knowledge Adjacency
  3. Knowledge Networks
  4. Knowledge Ontology

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Compute '15
Compute '15: 8th Annual ACM India Conference
October 29 - 31, 2015
Ghaziabad, India

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Overall Acceptance Rate 114 of 622 submissions, 18%

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