Fetahu, B.; Anand, A.; Koutraki, M.: TableNet: An approach for determining fine-grained relations for wikipedia tables. In: The Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019, S. 2736-2742. DOI: https://doi.org/10.1145/3308558.3313629
Abstract: | |
We focus on the problem of interlinking Wikipedia tables with fine-grained table relations: equivalent and subPartOf. Such relations allow us to harness semantically related information by accessing related tables or facts therein. Determining the type of a relation is not trivial. Relations are dependent on the schemas, the cell-values, and the semantic overlap of the cell values in tables. We propose TableNet, an approach for interlinking tables with subPartOf and equivalent relations. TableNet consists of two main steps: (i) for any source table we provide an efficient algorithm to find candidate related tables with high coverage, and (ii) a neural based approach that based on the table schemas and data, determines with high accuracy the fine-grained relation. Based on an extensive evaluation with more than 3.2M tables, we show that TableNet retains more than 88% of relevant tables pairs, and assigns table relations with an accuracy of 90%. | |
License of this version: | CC BY 4.0 Unported |
Document Type: | BookPart |
Publishing status: | publishedVersion |
Issue Date: | 2019 |
Appears in Collections: | Forschungszentren |
pos. | country | downloads | ||
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total | perc. | |||
1 | Germany | 63 | 35.39% | |
2 | United States | 32 | 17.98% | |
3 | China | 11 | 6.18% | |
4 | No geo information available | 10 | 5.62% | |
5 | India | 9 | 5.06% | |
6 | Netherlands | 6 | 3.37% | |
7 | Canada | 6 | 3.37% | |
8 | Taiwan | 5 | 2.81% | |
9 | France | 5 | 2.81% | |
10 | United Kingdom | 4 | 2.25% | |
other countries | 27 | 15.17% |
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