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Determining Web Data Currency Based on Markov Logic Network

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Social Computing (ICYCSEE 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 623))

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Abstract

This paper proposes a method based on Markov Logic Network (MLN) to determine the time order of entity attribute values. We use the characteristics of web sources’ currency, web sources inter-dependency and attribute data currency in a certain web source as predicates in MLN. We define five rules (new rules can be added) to infer the currency of different values provided by different sources. On one hand, this method considers currency problem based on entity attribute instead of the entire entity, which is critical to improve the quality of data provided by Web Integration Systems; on the other hand, this method summarizes characteristics of web sources and web data based on carefully analysis. It is noteworthy that it is not complicate for the MLN model to incorporate new rules, which shows that the proposed method is extensible.

This work is supported by the Shandong Province Natural Science Fund (No. ZR2015PF011).

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Correspondence to Yan Zhang .

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© 2016 Springer Science+Business Media Singapore

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Zhang, Y., Zhang, R. (2016). Determining Web Data Currency Based on Markov Logic Network. In: Che, W., et al. Social Computing. ICYCSEE 2016. Communications in Computer and Information Science, vol 623. Springer, Singapore. https://doi.org/10.1007/978-981-10-2053-7_30

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  • DOI: https://doi.org/10.1007/978-981-10-2053-7_30

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2052-0

  • Online ISBN: 978-981-10-2053-7

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