dc.identifier.uri |
http://dx.doi.org/10.15488/3784 |
|
dc.identifier.uri |
https://www.repo.uni-hannover.de/handle/123456789/3818 |
|
dc.contributor.author |
Zhou, Yiwei
|
|
dc.contributor.author |
Demidova, Elena
|
|
dc.contributor.author |
Cristea, Alexandra I.
|
|
dc.contributor.editor |
Cardoso, Jorge
|
|
dc.contributor.editor |
Guerra, Francesco
|
|
dc.contributor.editor |
Houben, Geert-Jan
|
|
dc.contributor.editor |
Pinto, Alexandre Miguel
|
|
dc.contributor.editor |
Velegrakis, Yannis
|
|
dc.date.accessioned |
2018-10-10T08:42:36Z |
|
dc.date.available |
2018-10-10T08:42:36Z |
|
dc.date.issued |
2015 |
|
dc.identifier.citation |
Zhou, Y.; Demidova, E.; Cristea, A.I.: Analysing entity context in multilingual wikipedia to support entity-centric retrieval applications. In: Cardoso, J.; Guerra, F.; Houben, G.; Pinto, A.; Velegrakis, Y. (Eds.): Semantic Keyword-Based Search on Structured Data Sources. Heidelberg : Springer Verlag, 2015 (Lecture Notes in Computer Science ; 9398), S. 197-208. DOI: https://doi.org/10.1007/978-3-319-27932-9_17 |
|
dc.description.abstract |
Representation of influential entities, such as famous people and multinational corporations, on the Web can vary across languages, reflecting language-specific entity aspects as well as divergent views on these entities in different communities. A systematic analysis of languagespecific entity contexts can provide a better overview of the existing aspects and support entity-centric retrieval applications over multilingual Web data. An important source of cross-lingual information about influential entities is Wikipedia — an online community-created encyclopaedia — containing more than 280 language editions. In this paper we focus on the extraction and analysis of the language-specific entity contexts from different Wikipedia language editions over multilingual data. We discuss alternative ways such contexts can be built, including graph-based and article-based contexts. Furthermore, we analyse the similarities and the differences in these contexts in a case study including 80 entities and five Wikipedia language editions. |
eng |
dc.language.iso |
eng |
|
dc.publisher |
Heidelberg : Springer Verlag |
|
dc.relation.ispartof |
Semantic Keyword-Based Search on Structured Data Sources |
eng |
dc.relation.ispartofseries |
Lecture Notes in Computer Science ; 9398 |
|
dc.rights |
CC BY-NC 3.0 Unported |
|
dc.rights.uri |
https://creativecommons.org/licenses/by-nc/3.0/ |
|
dc.subject |
Arches |
eng |
dc.subject |
Computational linguistics |
eng |
dc.subject |
Graphic methods |
eng |
dc.subject |
Semantics |
eng |
dc.subject |
Websites |
eng |
dc.subject |
Cross-lingual information |
eng |
dc.subject |
Entity contexts |
eng |
dc.subject |
Graph-based |
eng |
dc.subject |
Multi-national corporations |
eng |
dc.subject |
On-line communities |
eng |
dc.subject |
Retrieval applications |
eng |
dc.subject |
Support entities |
eng |
dc.subject |
Systematic analysis |
eng |
dc.subject |
Search engines |
eng |
dc.subject.classification |
Konferenzschrift |
ger |
dc.subject.ddc |
004 | Informatik
|
ger |
dc.title |
Analysing entity context in multilingual wikipedia to support entity-centric retrieval applications |
eng |
dc.type |
BookPart |
|
dc.type |
Text |
|
dc.relation.isbn |
978-3-319-27931-2 |
|
dc.relation.isbn |
978-3-319-27932-9 |
|
dc.relation.issn |
03029743 |
|
dc.relation.doi |
https://doi.org/10.1007/978-3-319-27932-9_17 |
|
dc.bibliographicCitation.volume |
9398 |
|
dc.bibliographicCitation.firstPage |
197 |
|
dc.bibliographicCitation.lastPage |
208 |
|
dc.description.version |
publishedVersion |
|
tib.accessRights |
frei zug�nglich |
|