On the Integration of Structured Data and Text: A Review of the SIRE Architecture
Ophir Frieder, Abdur Chowdhury, David A. Grossman, Catherine McCabe · 2000
Introduction Over the past decade, members of the Information Retrieval Lab have designed, developed, and deployed a variety of information retrieval systems. A central theme for all of our systems was the integration of structured data and text. One of our more recent efforts, SIRE, a Scalable Information Retrieval Engine [Grossman97, Grossman98, Lundquist99] is the focus of this paper. For completeness, we review some of the functionality of SIRE although it is described, in greater detail, in other forums. We describe the architecture of the prototype developed for the National Institutes of Health (NIH) National Center for Complementary and Alternative Medicine (NCCAM) [Frieder00] by some of the members of the laboratory. The version deployed at NCCAM is a more industrialized version of this prototype. The mainstream approach in the development of information retrieval systems uses a customized inverted index to represent the text. SIRE, on the other hand, is a relationa