NDLI: NoDoSE—a tool for semi-automatically extracting structured and semistructured data from text documents

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NoDoSE—a tool for semi-automatically extracting structured and semistructured data from text documents

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NoDoSE—a tool for semi-automatically extracting structured and semistructured data from text documents

Content Provider	ACM Digital Library
Author	Adelberg, Brad
Abstract	Often interesting structured or semistructured data is not in database systems but in HTML pages, text files, or on paper. The data in these formats is not usable by standard query processing engines and hence users need a way of extracting data from these sources into a DBMS or of writing wrappers around the sources. This paper describes NoDoSE, the Northwestern Document Structure Extractor, which is an interactive tool for semi-automatically determining the structure of such documents and then extracting their data. Using a GUI, the user hierarchically decomposes the file, outlining its interesting regions and then describing their semantics. This task is expedited by a mining component that attempts to infer the grammar of the file from the information the user has input so far. Once the format of a document has been determined, its data can be extracted into a number of useful forms. This paper describes both the NoDoSE architecture, which can be used as a test bed for structure mining algorithms in general, and the mining algorithms that have been developed by the author. The prototype, which is written in Java, is described and experiences parsing a variety of documents are reported.
Starting Page	283
Ending Page	294
Page Count	12
File Format	PDF
ISBN	0897919955
DOI	10.1145/276304.276330
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	1998-06-01
Publisher Place	New York
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

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