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AIS Data Base Generation.

Authors: Georgette M. Silva; Donald L. Dwiggins;

AIS Data Base Generation.

Abstract

Abstract : This report documents results of a 12-month R/D effort consisting in development of MATRES III, a language understanding system for automated generation of AIS data base elements. Section 1.0 discusses the need for a high-volume message processing technology in the I/W environment, and summarizes its current state of the art exemplified in MATRES II. Section 2.0 describes in detail the methodological approach adopted in MATRES III for analysis/description of event reports, and provides background information on conceptually relevant efforts. Section 3.0 provides an overview of message processing from raw text input to final output of event record in MATRES III. Section 4.0 presents MATRES III model data based system, and Section 5.0 provides guidelines for continuing development of message processing technology. Examples of message segments and event records synthesized from these segments are presented in Appendices A and B, respectively. (Author)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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