Automatic domain-ontology structure and example acquisition from semi-structured texts

Cheng Xiao; Dequan Zheng; Yuhang Yang

doi:10.1109/FSKD.2009.169

Automatic domain-ontology structure and example acquisition from semi-structured texts

Cheng Xiao^*
, Dequan Zheng
, Yuhang Yang

^*Corresponding author for this work

School of Management

Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper presents a new method to acquire Domain-Ontology structure and examples from semi-structured data sources. Firstly, extract Domain-Ontology structure, including candidate attributes extraction using certain patterns and applying a statistic method to filter out the incorrect attributes. Secondly, using Domain-Ontology structure as a clue, automatically generate example extraction patterns. Finally, acquire Ontology examples taking advantage of the special structure feature of the Web pages. Experiments are carried out in the field of film, the precision of the Ontology structure extraction is 83.7%, and the highest recall of the examples extraction reaches 90%. Experimental results demonstrate that the method developed in this paper is fairly efficient.

Original language	English
Title of host publication	6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009
Pages	530-534
Number of pages	5
DOIs	https://doi.org/10.1109/FSKD.2009.169
State	Published - 2009
Event	6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009 - Tianjin, China Duration: 14 Aug 2009 → 16 Aug 2009

Publication series

Name	6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009
Volume	7

Conference

Conference	6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009
Country/Territory	China
City	Tianjin
Period	14/08/09 → 16/08/09

Keywords

Example
Information extraction
Ontology structure
Semi-structure

Access to Document

10.1109/FSKD.2009.169

Cite this

Xiao, C., Zheng, D., & Yang, Y. (2009). Automatic domain-ontology structure and example acquisition from semi-structured texts. In 6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009 (pp. 530-534). Article 5360066 (6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009; Vol. 7). https://doi.org/10.1109/FSKD.2009.169

@inproceedings{0d9cb6ccdff7437390007a0243e4dd4e,

title = "Automatic domain-ontology structure and example acquisition from semi-structured texts",

abstract = "This paper presents a new method to acquire Domain-Ontology structure and examples from semi-structured data sources. Firstly, extract Domain-Ontology structure, including candidate attributes extraction using certain patterns and applying a statistic method to filter out the incorrect attributes. Secondly, using Domain-Ontology structure as a clue, automatically generate example extraction patterns. Finally, acquire Ontology examples taking advantage of the special structure feature of the Web pages. Experiments are carried out in the field of film, the precision of the Ontology structure extraction is 83.7\%, and the highest recall of the examples extraction reaches 90\%. Experimental results demonstrate that the method developed in this paper is fairly efficient.",

keywords = "Example, Information extraction, Ontology structure, Semi-structure",

author = "Cheng Xiao and Dequan Zheng and Yuhang Yang",

year = "2009",

doi = "10.1109/FSKD.2009.169",

language = "英语",

isbn = "9780769537351",

series = "6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009",

pages = "530--534",

booktitle = "6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009",

note = "6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009 ; Conference date: 14-08-2009 Through 16-08-2009",

}

Xiao, C, Zheng, D & Yang, Y 2009, Automatic domain-ontology structure and example acquisition from semi-structured texts. in 6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009., 5360066, 6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009, vol. 7, pp. 530-534, 6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009, Tianjin, China, 14/08/09. https://doi.org/10.1109/FSKD.2009.169

Automatic domain-ontology structure and example acquisition from semi-structured texts. / Xiao, Cheng; Zheng, Dequan; Yang, Yuhang.
6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009. 2009. p. 530-534 5360066 (6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009; Vol. 7).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Xiao, Cheng

AU - Zheng, Dequan

AU - Yang, Yuhang

PY - 2009

Y1 - 2009

N2 - This paper presents a new method to acquire Domain-Ontology structure and examples from semi-structured data sources. Firstly, extract Domain-Ontology structure, including candidate attributes extraction using certain patterns and applying a statistic method to filter out the incorrect attributes. Secondly, using Domain-Ontology structure as a clue, automatically generate example extraction patterns. Finally, acquire Ontology examples taking advantage of the special structure feature of the Web pages. Experiments are carried out in the field of film, the precision of the Ontology structure extraction is 83.7%, and the highest recall of the examples extraction reaches 90%. Experimental results demonstrate that the method developed in this paper is fairly efficient.

AB - This paper presents a new method to acquire Domain-Ontology structure and examples from semi-structured data sources. Firstly, extract Domain-Ontology structure, including candidate attributes extraction using certain patterns and applying a statistic method to filter out the incorrect attributes. Secondly, using Domain-Ontology structure as a clue, automatically generate example extraction patterns. Finally, acquire Ontology examples taking advantage of the special structure feature of the Web pages. Experiments are carried out in the field of film, the precision of the Ontology structure extraction is 83.7%, and the highest recall of the examples extraction reaches 90%. Experimental results demonstrate that the method developed in this paper is fairly efficient.

KW - Example

KW - Information extraction

KW - Ontology structure

KW - Semi-structure

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DO - 10.1109/FSKD.2009.169

M3 - 会议稿件

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T3 - 6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009

SP - 530

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BT - 6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009

T2 - 6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009

Y2 - 14 August 2009 through 16 August 2009

ER -

Automatic domain-ontology structure and example acquisition from semi-structured texts

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Keywords

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