Christine F. Reilly
ABSTRACT
Information extraction (IE) programs for the web consume and produce a lot of data. In order to better understand the program output, the developer and user often desire to know the details of how the output was created. Provenance can be used to learn about the creation of the output. We collect fine-grained provenance by leveraging ongoing work in the IE community to write IE programs in a logic programming language. The logic programming language exposes the semantics of the program, allowing us to gather fine-grained provenance during program execution. We discuss a case study using a web-based community information management system, then present results regarding the performance of queries over the provenance data gathered by our logic program interpreter. Our findings show that it is possible to gather useful fine-grained provenance during the execution of a logic based web information extraction program. Additionally, queries over this provenance information can be performed in a reasonable amount of time.
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Index Terms
- Instrumenting a logic programming language to gather provenance from an information extraction application
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