Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings - IEEE International Conference on Semantic Computing 2008, ICSC 2008 |
| Pages | 554-561 |
| Number of pages | 8 |
| Publication status | Published - 2008 |
| Event | 2nd Annual IEEE International Conference on Semantic Computing, ICSC 2008 - Santa Clara, CA, United States Duration: 4 Aug 2008 → 7 Aug 2008 |
Publication series
| Name | Proceedings - IEEE International Conference on Semantic Computing 2008, ICSC 2008 |
|---|
Abstract
Recognizing that information from different sources refers to the same (real world) entity is a crucial challenge in instance-level information integration, as it is a pre-requisite for combining the information about one entity from different sources. The required entity matching is time consuming and thus imposes a crucial limit for largescale, dynamic information integration. An increased re-use of entity identifiers (or names) across different information collections such as RDF repositories, databases and document collections, eases this situation. In the ideal case, entity matching can be reduced to the trivial problem of spotting the same entity identifier in different information collections. In this paper we propose the use of an Entity Name System (ENS) - as it is currently under development in the EU-funded project OKKAM-for systematically supporting the re-use of entity identifiers. The main purpose of the ENS is to provide unique and uniform names for entities for the use in information collections, so that the same name is used for an entity, even when it is referenced in different contexts. Of course the creation of an ENS that can efficiently deal with entities on the Web scale raises scalability issues of its own. This paper focuses on the role of an ENS in contributing to the scalability of ad-hoc and on demand information integration tasks.
ASJC Scopus subject areas
- Computer Science(all)
- Artificial Intelligence
- Computer Science(all)
- Software
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
Proceedings - IEEE International Conference on Semantic Computing 2008, ICSC 2008. 2008. p. 554-561 4597246 (Proceedings - IEEE International Conference on Semantic Computing 2008, ICSC 2008).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Entity Name System
T2 - 2nd Annual IEEE International Conference on Semantic Computing, ICSC 2008
AU - Bouquet, Paolo
AU - Stoermer, Heiko
AU - Niederee, Claudia
AU - Maña, Antonio
PY - 2008
Y1 - 2008
N2 - Recognizing that information from different sources refers to the same (real world) entity is a crucial challenge in instance-level information integration, as it is a pre-requisite for combining the information about one entity from different sources. The required entity matching is time consuming and thus imposes a crucial limit for largescale, dynamic information integration. An increased re-use of entity identifiers (or names) across different information collections such as RDF repositories, databases and document collections, eases this situation. In the ideal case, entity matching can be reduced to the trivial problem of spotting the same entity identifier in different information collections. In this paper we propose the use of an Entity Name System (ENS) - as it is currently under development in the EU-funded project OKKAM-for systematically supporting the re-use of entity identifiers. The main purpose of the ENS is to provide unique and uniform names for entities for the use in information collections, so that the same name is used for an entity, even when it is referenced in different contexts. Of course the creation of an ENS that can efficiently deal with entities on the Web scale raises scalability issues of its own. This paper focuses on the role of an ENS in contributing to the scalability of ad-hoc and on demand information integration tasks.
AB - Recognizing that information from different sources refers to the same (real world) entity is a crucial challenge in instance-level information integration, as it is a pre-requisite for combining the information about one entity from different sources. The required entity matching is time consuming and thus imposes a crucial limit for largescale, dynamic information integration. An increased re-use of entity identifiers (or names) across different information collections such as RDF repositories, databases and document collections, eases this situation. In the ideal case, entity matching can be reduced to the trivial problem of spotting the same entity identifier in different information collections. In this paper we propose the use of an Entity Name System (ENS) - as it is currently under development in the EU-funded project OKKAM-for systematically supporting the re-use of entity identifiers. The main purpose of the ENS is to provide unique and uniform names for entities for the use in information collections, so that the same name is used for an entity, even when it is referenced in different contexts. Of course the creation of an ENS that can efficiently deal with entities on the Web scale raises scalability issues of its own. This paper focuses on the role of an ENS in contributing to the scalability of ad-hoc and on demand information integration tasks.
UR - http://www.scopus.com/inward/record.url?scp=52149122472&partnerID=8YFLogxK
U2 - 10.1109/ICSC.2008.37
DO - 10.1109/ICSC.2008.37
M3 - Conference contribution
AN - SCOPUS:52149122472
SN - 9780769532790
T3 - Proceedings - IEEE International Conference on Semantic Computing 2008, ICSC 2008
SP - 554
EP - 561
BT - Proceedings - IEEE International Conference on Semantic Computing 2008, ICSC 2008
Y2 - 4 August 2008 through 7 August 2008
ER -