Details
| Original language | English |
|---|---|
| Title of host publication | CIKM 2013 - Proceedings of the 22nd ACM International Conference on Information and Knowledge Management |
| Pages | 579-588 |
| Number of pages | 10 |
| Publication status | Published - 27 Oct 2013 |
| Event | 22nd ACM International Conference on Information and Knowledge Management, CIKM 2013 - San Francisco, CA, United States Duration: 27 Oct 2013 → 1 Nov 2013 |
Publication series
| Name | International Conference on Information and Knowledge Management, Proceedings |
|---|
Abstract
Linked Open Data (LOD) has emerged as the de-facto standard for publishing data on the Web. The cross-domain large scale Freebase and YAGO datasets represent central hubs and reference points for the LOD cloud. Freebase is an open-world dataset, which contains about 22 million entities and more than 350 million facts in more than 100 domains. The scale of Freebase makes it difficult for the users to get an overview of the data and efficiently retrieve the desired information. Integration of Freebase with the YAGO ontology that contains more than 360, 000 concepts enables us to provide more semantic information for Freebase and to facilitate novel applications, such as efficient query construction, over large scale data. In this paper we analyze the structure of YAGO in more depth and show how to match YAGO and Freebase categories. The new YAGO+F structure that results from our matching tightly connects both datasets and provides an important next step to systematically interconnect LOD subcollections. We make our YAGO+F structure available online in the hope that it can provide a good starting point for future applications, which can build upon a wide variety of Freebase data clearly arranged in the semantic categories of YAGO. Copyright is held by the owner/author(s).
Keywords
- Freebase, Ontology matching, YAGO ontology
ASJC Scopus subject areas
- Decision Sciences(all)
- General Decision Sciences
- Business, Management and Accounting(all)
- General Business,Management and Accounting
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CIKM 2013 - Proceedings of the 22nd ACM International Conference on Information and Knowledge Management. 2013. p. 579-588 (International Conference on Information and Knowledge Management, Proceedings).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Aligning Freebase with the YAGO Ontology
AU - Demidova, Elena
AU - Oelze, Iryna
AU - Nejdl, Wolfgang
PY - 2013/10/27
Y1 - 2013/10/27
N2 - Linked Open Data (LOD) has emerged as the de-facto standard for publishing data on the Web. The cross-domain large scale Freebase and YAGO datasets represent central hubs and reference points for the LOD cloud. Freebase is an open-world dataset, which contains about 22 million entities and more than 350 million facts in more than 100 domains. The scale of Freebase makes it difficult for the users to get an overview of the data and efficiently retrieve the desired information. Integration of Freebase with the YAGO ontology that contains more than 360, 000 concepts enables us to provide more semantic information for Freebase and to facilitate novel applications, such as efficient query construction, over large scale data. In this paper we analyze the structure of YAGO in more depth and show how to match YAGO and Freebase categories. The new YAGO+F structure that results from our matching tightly connects both datasets and provides an important next step to systematically interconnect LOD subcollections. We make our YAGO+F structure available online in the hope that it can provide a good starting point for future applications, which can build upon a wide variety of Freebase data clearly arranged in the semantic categories of YAGO. Copyright is held by the owner/author(s).
AB - Linked Open Data (LOD) has emerged as the de-facto standard for publishing data on the Web. The cross-domain large scale Freebase and YAGO datasets represent central hubs and reference points for the LOD cloud. Freebase is an open-world dataset, which contains about 22 million entities and more than 350 million facts in more than 100 domains. The scale of Freebase makes it difficult for the users to get an overview of the data and efficiently retrieve the desired information. Integration of Freebase with the YAGO ontology that contains more than 360, 000 concepts enables us to provide more semantic information for Freebase and to facilitate novel applications, such as efficient query construction, over large scale data. In this paper we analyze the structure of YAGO in more depth and show how to match YAGO and Freebase categories. The new YAGO+F structure that results from our matching tightly connects both datasets and provides an important next step to systematically interconnect LOD subcollections. We make our YAGO+F structure available online in the hope that it can provide a good starting point for future applications, which can build upon a wide variety of Freebase data clearly arranged in the semantic categories of YAGO. Copyright is held by the owner/author(s).
KW - Freebase
KW - Ontology matching
KW - YAGO ontology
UR - http://www.scopus.com/inward/record.url?scp=84889579265&partnerID=8YFLogxK
U2 - 10.1145/2505515.2505546
DO - 10.1145/2505515.2505546
M3 - Conference contribution
AN - SCOPUS:84889579265
SN - 9781450322638
T3 - International Conference on Information and Knowledge Management, Proceedings
SP - 579
EP - 588
BT - CIKM 2013 - Proceedings of the 22nd ACM International Conference on Information and Knowledge Management
T2 - 22nd ACM International Conference on Information and Knowledge Management, CIKM 2013
Y2 - 27 October 2013 through 1 November 2013
ER -