Estimating missing temporal meta-information using Knowledge-Based-Trust
Oulabi, Yaser
;
Bizer, Christian
URL:
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http://ceur-ws.org/Vol-1959/paper-04.pdf
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Additional URL:
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http://ceur-ws.org/Vol-1959/
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Document Type:
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Conference or workshop publication
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Year of publication:
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2017
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Book title:
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KDWEB 2017 : proceedings of the 3rd International Workshop on Knowledge Discovery on the WEB Cagliari, Italy, September 11 to 12, 2017
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The title of a journal, publication series:
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CEUR Workshop Proceedings
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Volume:
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1959
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Page range:
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Paper 4
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Conference title:
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3rd International Workshop on Knowledge Discovery on the WEB
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Location of the conference venue:
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Cagliari, Italy
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Date of the conference:
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September 11-12, 2017
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Publisher:
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Armano, Giuliano
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Place of publication:
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Aachen, Germany
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Publishing house:
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RWTH Aachen
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ISSN:
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1613-0073
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Publication language:
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English
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Institution:
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School of Business Informatics and Mathematics > Information Systems V: Web-based Systems (Bizer 2012-)
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Subject:
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004 Computer science, internet
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Keywords (English):
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temporal meta-information , time-dependent data , knowledge-based-trust , knowledge bases
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Abstract:
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A large number of HTML Tables on the Web contain relational data which can be used to augment knowledge bases such as DBpedia, Yago, or Wikidata. A large part of this data is time-dependent, i.e., the correctness of a fact depends on a specific temporal scope. In order
to use this data for knowledge base augmentation, we need temporal meta-information. Existing methods rely on timestamps within the table itself or its context as temporal meta-information. Yet, the relationship between these timestamps and data within a table is often unclear. Additionally, timestamps are rather sparse, and there are many web tables for which no timestamps exist.
Knowledge-Based-Trust (KBT) uses the overlap with ground-truth to estimate the trustworthiness of a dataset. This paper introduces TimedKBT, which overcomes the dependence on sparse and possibly misinterpreted
timestamps by propagating temporal meta-information from
a knowledge base to web table data using KBT. It also derives a trust score that estimates the correctness of the data and the assigned temporal meta-information. We evaluate Timed-KBT on the use case of fusing data from a large corpus of web tables for filling missing facts in a knowledge base. Our evaluation shows that Timed-KBT yields an increase in F0.25-Measure of 19.01 % when compared to KBT and 9.44 % when compared to a method that relies solely on timestamps extracted from the
table and its context.
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| Dieser Eintrag ist Teil der Universitätsbibliographie. |
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