Entity Search with NECESSITY

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., people, 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.

• Type: Conference
• Year: 2009
• Where: WEBDB
• Authors: Ekaterini Ioannou, Saket Sathe, Nicolas Bonvin, Anshul Jain, Srikanth Bondalapati, Gleb Skobeltsyn, Claudia Niederée, Zoltán Miklós
• Keywords: Heterogeneous Information Spaces, Information Spaces Need, Internet Technology, Scalable Entity Store, WEBDB 2009