Figure 1: START responding to the question "How much does it cost to attend MIT?" with information provided by Omnibase.
We have integrated Omnibase into the START natural language system (see  and related abstracts in this collection). Omnibase allows us to quickly and conveniently augment START's knowledge base with Web and other data sources. It is no longer necessary to compromise START's modularity with large amounts of resource-specific code. Students can learn in hours how to write Omnibase scripts, substantially reducing the time it takes to integrate a new data source. Omnibase has significantly increased the quantity and diversity of data which START can access and queries which it can answer.
Property scripts are very easy to write, such that novice programmers can learn to write simple scripts very quickly. Unfortunately, Web sites often change their formatting over time, and it is timeconsuming to rewrite scripts as Web sites change. Our Hap-Shu system (see related abstract) makes it possible to write generalized scripts which work at a conceptual level rather than directly at the HTML level.
This work is supported in part by the Disruptive Technology Office as part of the AQUAINT Phase 3 research program.
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