Keymantic

Integration of data from multiple sources is one of the main issues that the database and artificial intelligence research communities are facing. The approach typically adopted for integrating information sources aims at building a mediated schema (called also global schema) that allows a user to query multiple heterogeneous data sources (RDBMS, html documents, plain text and XML files) by means of a single query over the global schema. Though the global schema handles heterogeneity issues, it is often composed of a large amount of related tables, and it is hardly readable for a user. On the other hand, traditional query languages strongly rely on the knowledge of the source schemas. In this project, we aim at developing a query language and the related keyword-based query engine supporting users in querying data sources with complex and large schemas, such as global schemas.

Download

• http://sourceforge.net/projects/keymantic/

Links

• Lucene/Solr platforms: lucene.apache.org
• Wordnet platform: https://wordnet.princeton.edu/