Towards text copyright detection using metadata in web applications

Poulos, Marios, Korfiatis, Nikolaos ORCID: and Bokos, George (2011) Towards text copyright detection using metadata in web applications. Program: Electronic Library and Information Systems, 45 (4). pp. 439-451.

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Purpose – This paper aims to present the semantic content identifier (SCI), a permanent identifier, computed through a linear-time onion-peeling algorithm that enables the extraction of semantic features from a text, and the integration of this information within the permanent identifier. Design/methodology/approach – The authors employ SCI to propose a mechanism for simultaneously checking the authenticity and degrees of similarity between different information objects, and present an empirical investigation of the method. A management scenario for the control of the authentication process and the detection of the degree of violation of documents is proposed. Findings – Such a mechanism could be adopted as a component of libraries’ strategy for the protection of the copyrights for documents published on the web. Practical implications – The use of the proposed numeric code can be utilised efficiently as a constituent part of the digital object identifier (DOI) system, making its computation more efficient and meaningful. Originality/value – The identifier proposed in the paper can result in a more efficient index for identifying and retrieving objects in a digital library, as well as online repositories and commercial applications that can handle information retrieval requests more effectively.

Item Type: Article
Uncontrolled Keywords: text identification, information retrieval, semantics, persistent identifiers, data handling, copyright, research work
Faculty \ School: Faculty of Social Sciences > Norwich Business School
UEA Research Groups: Faculty of Social Sciences > Research Groups > Innovation, Technology and Operations Management
Faculty of Social Sciences > Research Centres > Centre for Competition Policy
Depositing User: Pure Connector
Date Deposited: 17 Dec 2014 15:34
Last Modified: 19 Apr 2023 00:27
DOI: 10.1108/00330331111182111

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