Entity Search with NECESSITY

Ekaterini Ioannou, Saket Sathe, Nicolas Bonvin, Anshul Jain, Srikanth Bondalapati, Gleb Skobeltsyn, Claudia Niederée, Zoltán Miklós

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review


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.
Original languageEnglish
Title of host publicationInternational Workshop on the Web and Databases (WebDB)
Publication statusPublished - 2009
Externally publishedYes
Event12th International Workshop on the Web and Databases - Providence, United States
Duration: 28 Jun 200928 Jun 2009


Conference12th International Workshop on the Web and Databases
Abbreviated titleWebDB 2009
Country/TerritoryUnited States


Dive into the research topics of 'Entity Search with NECESSITY'. Together they form a unique fingerprint.

Cite this