dc.identifier.uri |
http://dx.doi.org/10.15488/5072 |
|
dc.identifier.uri |
https://www.repo.uni-hannover.de/handle/123456789/5116 |
|
dc.contributor.author |
Fetahu, Besnik
|
|
dc.contributor.author |
Anand, Avishek
|
|
dc.contributor.author |
Koutraki, Maria
|
|
dc.date.accessioned |
2019-07-02T08:17:30Z |
|
dc.date.available |
2019-07-02T08:17:30Z |
|
dc.date.issued |
2019 |
|
dc.identifier.citation |
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 |
|
dc.description.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%. |
eng |
dc.language.iso |
eng |
|
dc.publisher |
New York, NY : Association for Computing Machinery, Inc |
|
dc.relation.ispartofseries |
The Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019 2019 (2019) |
|
dc.rights |
CC BY 4.0 Unported |
|
dc.rights.uri |
https://creativecommons.org/licenses/by/4.0/ |
|
dc.subject |
Semantics |
eng |
dc.subject |
Equivalent relation |
eng |
dc.subject |
Fine grained |
eng |
dc.subject |
High-accuracy |
eng |
dc.subject |
Wikipedia |
eng |
dc.subject |
World Wide Web |
eng |
dc.subject.classification |
Konferenzschrift |
ger |
dc.subject.ddc |
004 | Informatik
|
ger |
dc.title |
TableNet: An approach for determining fine-grained relations for wikipedia tables |
|
dc.type |
BookPart |
|
dc.type |
Text |
|
dc.relation.isbn |
978-1-4503-6674-8 |
|
dc.relation.doi |
https://doi.org/10.1145/3308558.3313629 |
|
dc.bibliographicCitation.firstPage |
2736 |
|
dc.bibliographicCitation.lastPage |
2742 |
|
dc.description.version |
publishedVersion |
|
tib.accessRights |
frei zug�nglich |
|