Inconsistency Detection in Multilingual Knowledge Sharing

Amit Pariyar (), Yohei Murakami (), Donghui Lin () and Toru Ishida ()
Additional contact information
Amit Pariyar: Department of Social Informatics, Kyoto University, Kyoto 606-8501, Japan
Yohei Murakami: Department of Social Informatics, Kyoto University, Kyoto 606-8501, Japan
Donghui Lin: Department of Social Informatics, Kyoto University, Kyoto 606-8501, Japan
Toru Ishida: Department of Social Informatics, Kyoto University, Kyoto 606-8501, Japan

Journal of Information & Knowledge Management (JIKM), 2014, vol. 13, issue 04, 1-15

Abstract: Multilingual knowledge sharing imposes new requirements on knowledge management systems so as to present digital knowledge resources in multiple languages. Knowledge sharing is degraded by inconsistencies such as contents omitted or altered in one of the languages. To resolve this issue, we present a mechanism for detecting inconsistencies in multilingual knowledge sharing. A state transition model is proposed to define the states of the multilingual contents, the set of actions, and the set of transition functions. Inconsistency detection rules are designed to represent the states of the multilingual contents and thus permit the identification of inconsistencies in knowledge sharing. The analysis of a multilingual Wikipedia article indicates that inconsistencies are present in multilingual contents generated by collaboration. In experiments, the proposed mechanism is applied to a test set of revision histories of multilingual articles; the outcome shows satisfactory results with an average precision of 88% in detecting inconsistencies and a recall of 86%. While the proposal considers only user edit actions, it can detect inconsistencies which will be useful in allowing Natural Language Processing (NLP) based systems to synchronize multilingual contents in an early phase.

Keywords: Knowledge sharing; multilingual content; inconsistency detection; collaboration; multilingual Wikipedia (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219649214500336
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:jikmxx:v:13:y:2014:i:04:n:s0219649214500336

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0219649214500336

Access Statistics for this article

Journal of Information & Knowledge Management (JIKM) is currently edited by Professor Suliman Hawamdeh

More articles in Journal of Information & Knowledge Management (JIKM) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().