TY - GEN
T1 - Provenance for web 2.0 data
AU - Bienvenu, Meghyn
AU - Deutch, Daniel
AU - Suchanek, Fabian M.
PY - 2012/9/6
Y1 - 2012/9/6
N2 - In this paper, we look at Web data that comes from multiple sources, as in the Web 2.0. We argue that Web data is more than just its content. Rather, a piece of Web data carries along different facets, such the transformations that data underwent, the different perspectives that users have on the content, and the context in which a statement is made. We put forward the idea that provenance, i.e. the tracing of where data comes from, can help us model these phenomena. We study how far existing approaches address the issue of provenance for Web data, and identify gaps and open problems.
AB - In this paper, we look at Web data that comes from multiple sources, as in the Web 2.0. We argue that Web data is more than just its content. Rather, a piece of Web data carries along different facets, such the transformations that data underwent, the different perspectives that users have on the content, and the context in which a statement is made. We put forward the idea that provenance, i.e. the tracing of where data comes from, can help us model these phenomena. We study how far existing approaches address the issue of provenance for Web data, and identify gaps and open problems.
U2 - 10.1007/978-3-642-32873-2_10
DO - 10.1007/978-3-642-32873-2_10
M3 - Conference contribution
AN - SCOPUS:84865659025
SN - 9783642328725
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 148
EP - 155
BT - Secure Data Management - 9th VLDB Workshop, SDM 2012, Proceedings
T2 - 9th VLDB Workshop on Secure Data Management, SDM 2012
Y2 - 27 August 2012 through 27 August 2012
ER -