Populating a database from parallel texts using ontology-based information extraction

M. M. Wood; S. J. Lydon; V. Tablan; D. Maynard; H. Cunningham

doi:10.1007/b98754

Populating a database from parallel texts using ontology-based information extraction

M. M. Wood
, S. J. Lydon
, V. Tablan
, D. Maynard
, H. Cunningham

Research output: Chapter in Book/Conference proceeding › Conference contribution

Abstract

Legacy data in many mature descriptive sciences is distributed across multiple text descriptions. The challenge is both to extract this data, and to correlate it once extracted. The MultiFlora system does this using an established Information Extraction system tuned to the domain of botany and integrated with a formal ontology, to structure and store the data. A range of output formats are supported through the W3C RDFS standard, making it simple to populate a database as desired. © Springer-Verlag 2004.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)\|Lect. Notes Comput. Sci.
Pages	254-264
Number of pages	10
Volume	3136
DOIs	https://doi.org/10.1007/b98754
Publication status	Published - 2004

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10.1007/b98754

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Wood, M. M., Lydon, S. J., Tablan, V., Maynard, D., & Cunningham, H. (2004). Populating a database from parallel texts using ontology-based information extraction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci. (Vol. 3136, pp. 254-264) https://doi.org/10.1007/b98754

@inproceedings{2256060744f848759792af0397d01a90,

title = "Populating a database from parallel texts using ontology-based information extraction",

abstract = "Legacy data in many mature descriptive sciences is distributed across multiple text descriptions. The challenge is both to extract this data, and to correlate it once extracted. The MultiFlora system does this using an established Information Extraction system tuned to the domain of botany and integrated with a formal ontology, to structure and store the data. A range of output formats are supported through the W3C RDFS standard, making it simple to populate a database as desired. {\textcopyright} Springer-Verlag 2004.",

author = "Wood, \{M. M.\} and Lydon, \{S. J.\} and V. Tablan and D. Maynard and H. Cunningham",

year = "2004",

doi = "10.1007/b98754",

language = "English",

volume = "3136",

pages = "254--264",

booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.",

}

Populating a database from parallel texts using ontology-based information extraction. / Wood, M. M.; Lydon, S. J.; Tablan, V. et al.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. Vol. 3136 2004. p. 254-264.

Research output: Chapter in Book/Conference proceeding › Conference contribution

TY - GEN

T1 - Populating a database from parallel texts using ontology-based information extraction

AU - Wood, M. M.

AU - Lydon, S. J.

AU - Tablan, V.

AU - Maynard, D.

AU - Cunningham, H.

PY - 2004

Y1 - 2004

N2 - Legacy data in many mature descriptive sciences is distributed across multiple text descriptions. The challenge is both to extract this data, and to correlate it once extracted. The MultiFlora system does this using an established Information Extraction system tuned to the domain of botany and integrated with a formal ontology, to structure and store the data. A range of output formats are supported through the W3C RDFS standard, making it simple to populate a database as desired. © Springer-Verlag 2004.

AB - Legacy data in many mature descriptive sciences is distributed across multiple text descriptions. The challenge is both to extract this data, and to correlate it once extracted. The MultiFlora system does this using an established Information Extraction system tuned to the domain of botany and integrated with a formal ontology, to structure and store the data. A range of output formats are supported through the W3C RDFS standard, making it simple to populate a database as desired. © Springer-Verlag 2004.

U2 - 10.1007/b98754

DO - 10.1007/b98754

M3 - Conference contribution

VL - 3136

SP - 254

EP - 264

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.

ER -

Populating a database from parallel texts using ontology-based information extraction

Abstract

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