Information Integration for the Masses

Abstract: Information integration applications combine data from heterogeneous sources to assist the user in solving repetitive data-intensive tasks. Currently, such applications require a high level of expertise in information integration since users need to know how to extract data from an on-line source, describe its semantics, and build integration plans to answer specific queries. We have integrated three task learning technologies within a single desktop application to assist users in creating information integration applications. It includes a tool for programmatic access to data in on-line information sources, a tool to semantically model them by aligning their input and output parameters with a common ontology, and a tool that enables the user to create complex integration plans using simple text instructions. Our system was integrated within the Calo Desktop Assistant and evaluated independently on a range of problems. It enabled non-expert users to construct integration plan...

• Type: Journal
• Year: 2008
• Where: JUCS
• Authors: Jim Blythe, Dipsy Kapoor, Craig A. Knoblock, Kristina Lerman, Steven Minton
• Keywords: Information Integration, Information Integration Applications, JUCS 2008, Repetitive Data-intensive Tasks