document: Enabling entity-based aggregators for web 2.0 data 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 .
doc_bio_tags: O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B I O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B I O O O O O O O O O O O O O O O O O O O O O B I O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O