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Conceptual-Model-Based Data Extraction from Multiple-Record Web Pages
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In: http://lantern.cs.byu.edu/papers/dke.ps (1999)
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Abstract:
Electronically available data on the Web is exploding at an ever increasing pace. Much of this data is unstructured, which makes searching hard and traditional database querying impossible. Many Web documents, however, contain an abundance of recognizable constants that together describe the essence of a document's content. For these kinds of data-rich, multiple-record documents (e.g. advertisements, movie reviews, weather reports, travel information, sports summaries, financial statements, obituaries, and many others) we can apply a conceptual-modeling approach to extract and structure data automatically. The approach is based on an ontology---a conceptual model instance---that describes the data of interest, including relationships, lexical appearance, and context keywords. By parsing the ontology, we can automatically produce a database scheme and recognizers for constants and keywords, and then invoke routines to recognize and extract data from unstructured documents and structure .
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Keyword:
obituaries
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URL: http://lantern.cs.byu.edu/papers/dke.ps
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.50.1676
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Conceptual-Model-Based Data Extraction from Multiple-Record Web Pages
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In: http://www.deg.byu.edu/papers/dke99.ps (1999)
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A Conceptual-Modeling Approach to Extracting Data from the Web
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In: http://osm7.cs.byu.edu/deg/papers/er98.ps (1998)
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