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Ontology-Based Extraction and Structuring of Information from Data-Rich Unstructured Documents (1998)
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| Venue: | In Proceedings of the Conference on Information and Knowledge Management (CIKM'98), Washington D.C |
| Citations: | 85 - 10 self |
BibTeX
@INPROCEEDINGS{Embley98ontology-basedextraction,
author = {David W. Embley and Douglas M. Campbell and Randy D. Smith and Stephen W. Liddle},
title = {Ontology-Based Extraction and Structuring of Information from Data-Rich Unstructured Documents},
booktitle = {In Proceedings of the Conference on Information and Knowledge Management (CIKM'98), Washington D.C},
year = {1998},
pages = {52--59}
}
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Abstract
We present a new approach to extracting information from unstructured documents based on an application ontology that describes a domain of interest. Starting with such an ontology, we formulate rules to extract constants and context keywords from unstructured documents. For each unstructured document of interest, we extract its constants and keywords and apply a recognizer to organize extracted constants as attribute values of tuples in a generated database schema. To make our approach general, we fix all the processes and change only the ontological description for a different application domain. In experiments we conducted on two di#erent types of unstructured documents taken from the Web, our approach attained recall ratios in the 80% and 90% range and precision ratios near 98%. Keywords: unstructured data, semistructured data, information extraction, information structuring, ontology. 1 Introduction A relation in a structured database consists of a set of n- tuples. Each n-tupl...
Keyphrases
unstructured document ontology-based extraction data-rich unstructured document context keywords attribute value extracted constant ontological description information structuring information extraction new approach generated database schema application ontology unstructured data precision ratio different application domain recall ratio di erent type structured database
