Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 19th International Conference on World Wide Web, WWW '10 |
| Pages | 1119-1120 |
| Number of pages | 2 |
| Publication status | Published - 26 Apr 2010 |
| Event | 19th International World Wide Web Conference, WWW2010 - Raleigh, NC, United States Duration: 26 Apr 2010 → 30 Apr 2010 |
Publication series
| Name | Proceedings of the 19th International Conference on World Wide Web, WWW '10 |
|---|
Abstract
Selecting and presenting content culled from multiple heterogeneous and physically distributed sources is a challenging task. The exponential growth of the web data in modern times has brought new requirements to such integration systems. Data is not any more produced by content providers alone, but also from regular users through the highly popular Web 2.0 social and semantic web applications. The plethora of the available web content increased its demand by regular users who could not any more wait the development of advanced integration tools. They wanted to be able to build in a short time their own specialized integration applications. Aggregators came to the risk of these users. They allowed them not only to combine distributed content, but also to process it in ways that generate new services available for further consumption. To cope with the heterogeneous data, the Linked Data initiative aims at the creation and exploitation of correspondences across data values. In this work, although we share the Linked Data community vision, we advocate that for the modern web, linking at the data value level is not enough. Aggregators should base their integration tasks on the concept of an entity, i.e., identifying whether different pieces of information correspond to the same real world entity, such as an event or a person. We describe our theory, system, and experimental results that illustrate the approach's effectiveness.
Keywords
- entity matching, linked data, semantic web
ASJC Scopus subject areas
- Computer Science(all)
- Computer Networks and Communications
- Computer Science(all)
- Computer Science Applications
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Proceedings of the 19th International Conference on World Wide Web, WWW '10. 2010. p. 1119-1120 (Proceedings of the 19th International Conference on World Wide Web, WWW '10).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Enabling entity-based aggregators for web 2.0 data
AU - Ioannou, Ekaterini
AU - Niederée, Claudia
AU - Velegrakis, Yannis
PY - 2010/4/26
Y1 - 2010/4/26
N2 - Selecting and presenting content culled from multiple heterogeneous and physically distributed sources is a challenging task. The exponential growth of the web data in modern times has brought new requirements to such integration systems. Data is not any more produced by content providers alone, but also from regular users through the highly popular Web 2.0 social and semantic web applications. The plethora of the available web content increased its demand by regular users who could not any more wait the development of advanced integration tools. They wanted to be able to build in a short time their own specialized integration applications. Aggregators came to the risk of these users. They allowed them not only to combine distributed content, but also to process it in ways that generate new services available for further consumption. To cope with the heterogeneous data, the Linked Data initiative aims at the creation and exploitation of correspondences across data values. In this work, although we share the Linked Data community vision, we advocate that for the modern web, linking at the data value level is not enough. Aggregators should base their integration tasks on the concept of an entity, i.e., identifying whether different pieces of information correspond to the same real world entity, such as an event or a person. We describe our theory, system, and experimental results that illustrate the approach's effectiveness.
AB - Selecting and presenting content culled from multiple heterogeneous and physically distributed sources is a challenging task. The exponential growth of the web data in modern times has brought new requirements to such integration systems. Data is not any more produced by content providers alone, but also from regular users through the highly popular Web 2.0 social and semantic web applications. The plethora of the available web content increased its demand by regular users who could not any more wait the development of advanced integration tools. They wanted to be able to build in a short time their own specialized integration applications. Aggregators came to the risk of these users. They allowed them not only to combine distributed content, but also to process it in ways that generate new services available for further consumption. To cope with the heterogeneous data, the Linked Data initiative aims at the creation and exploitation of correspondences across data values. In this work, although we share the Linked Data community vision, we advocate that for the modern web, linking at the data value level is not enough. Aggregators should base their integration tasks on the concept of an entity, i.e., identifying whether different pieces of information correspond to the same real world entity, such as an event or a person. We describe our theory, system, and experimental results that illustrate the approach's effectiveness.
KW - entity matching
KW - linked data
KW - semantic web
UR - http://www.scopus.com/inward/record.url?scp=77954580370&partnerID=8YFLogxK
U2 - 10.1145/1772690.1772833
DO - 10.1145/1772690.1772833
M3 - Conference contribution
AN - SCOPUS:77954580370
SN - 9781605587998
T3 - Proceedings of the 19th International Conference on World Wide Web, WWW '10
SP - 1119
EP - 1120
BT - Proceedings of the 19th International Conference on World Wide Web, WWW '10
T2 - 19th International World Wide Web Conference, WWW2010
Y2 - 26 April 2010 through 30 April 2010
ER -