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Output details

11 - Computer Science and Informatics

Lancaster University

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Output 25 of 120 in the submission

Article title

Community analysis through semantic rules and role composition derivation

Type

D - Journal article

DOI

10.1016/j.websem.2012.05.002

Title of journal

Journal of Web Semantics

Article number

Volume number

Issue number

First page of article

ISSN of journal

1570-8268

Year of publication

2012

URL

http://www.sciencedirect.com/science/journal/15708268

Number of additional authors

Additional information

<16> Understanding the health of online communities is a problem of real economic and cultural significance that has emerged as online communities become ever more ubiquitous – e.g. for user support. This paper’s breakthrough is to show a correlation between users’ roles and behaviour, and the health of their community. A novel ontology of user behavior and context, along with role inference rules and a statistical reasoning method was implemented for the solution. Impact potential is evidenced by its use in a prototype tool being used by SAP to monitor the health of SAP's Community Network.

Interdisciplinary

Cross-referral requested

Research group

None

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract