Entity Search with NECESSITY

Ekaterini Ioannou, Saket Sathe, Nicolas Bonvin, Anshul Jain, Srikanth Bondalapati, Gleb Skobeltsyn,
Claudia Niederée, Zoltan Miklos
In Web and Databases Workshop (WebDB) co-located with ACM SIGMOD, June 2009, Providence, Rhode Island.
pdf

Abstract

Loosely structured heterogeneous information spaces are typically created by merging data from a variety of different applications and information sources. A common problem these information spaces need to address is that various data describe the same real-word entities (e.g., conferences, organizations). In this demo, we introduce necessity, an efficient and scalable entity store. necessity is able to handle a large number of entities and at the same time provide an efficient and highly accurate entity search functionality for heterogeneous and partially structured queries that follow the vision of dataspaces.

Bibtex

@inproceedings{conf/webdb/IoannouSBJBSNM09,
     author = {Ekaterini Ioannou and Saket Sathe and Nicolas Bonvin and Anshul Jain and Srikanth Bondalapati and
         Gleb Skobeltsyn and Claudia Nieder{\'e}e and Zolt{\'a}n Mikl{\'o}s},
     title = {Entity Search with {NECESSITY}},
     booktitle = {WebDB Workshop co-located with SIGMOD},
     year = {2009}
}