TY - GEN
T1 - Searching Web 2.0 data through entity-based aggregation
AU - Ioannou, Ekaterini
AU - Velegrakis, Yannis
PY - 2016/1/1
Y1 - 2016/1/1
N2 - Entity-based searching has been introduced as a way of allowing users and applications to retrieve information about a specific real world object such as a person, an event, or a location. Recent advances in crawling, information extraction, and data exchange technologies have brought a new era in data management, typically referred to through the term Web 2.0. Entity searching over Web 2.0 data facilitates the retrieval of relevant information from the plethora of data available in semantic and social web applications. Effective entity searching over a variety of sources requires the integration of the different pieces of information that refer to the same real world entity. Entity-based aggregation of Web 2.0 data is an effective mechanism towards this direction. Adopting the suggestions of the Linked Data movement, aggregators are able to efficiently match and merge the data that refer to the same real world object.
AB - Entity-based searching has been introduced as a way of allowing users and applications to retrieve information about a specific real world object such as a person, an event, or a location. Recent advances in crawling, information extraction, and data exchange technologies have brought a new era in data management, typically referred to through the term Web 2.0. Entity searching over Web 2.0 data facilitates the retrieval of relevant information from the plethora of data available in semantic and social web applications. Effective entity searching over a variety of sources requires the integration of the different pieces of information that refer to the same real world entity. Entity-based aggregation of Web 2.0 data is an effective mechanism towards this direction. Adopting the suggestions of the Linked Data movement, aggregators are able to efficiently match and merge the data that refer to the same real world object.
KW - Data integration
KW - Semantic data management
KW - Semantic web
UR - https://www.scopus.com/pages/publications/84969174525
U2 - 10.1007/978-3-662-49521-6_7
DO - 10.1007/978-3-662-49521-6_7
M3 - Conference contribution
AN - SCOPUS:84969174525
SN - 9783662495209
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 159
EP - 174
BT - Transactions on Computational Collective Intelligence XXI - Special Issue on Keyword Search and Big Data
A2 - Nguyen, Ngoc Thanh
A2 - da Cunha, Paulo Rupino
A2 - Kowalczyk, Ryszard
PB - Springer
T2 - 8th International Conference on Computational Collective Intelligence, ICCCI 2016
Y2 - 28 September 2016 through 30 September 2016
ER -