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Research and development of domain dictionary construction system

Authors:

Yonghong Cheng,

Yi HuangAuthors Info & Claims

WI '17: Proceedings of the International Conference on Web Intelligence

Pages 1162 - 1165

https://doi.org/10.1145/3106426.3109046

Published: 23 August 2017 Publication History

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Abstract

With the rapid development of science and technology, every day there are a large number of data in various forms produced on the Internet. Domain vocabularies embody the core knowledge of a subject field, and they play important role in parsing, tagging and understanding domain literature, as well as grasping the development of the subject field status with theoretical and practical significance. Currently, most of these dictionaries are constructed manually by domain experts, and there is an urgent need to develop a professional dictionary construction system to facilitate the construction and editing process. This paper investigates the functions of several dictionary systems home and abroad, designs the overall framework and component modules, and builds a dictionary construction system. The implementation and application of the system show that it can effectively support the professional dictionary construction process.

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Cited By

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Zhao XHu YQin TWan WWang Y(2024)A Domain-Specific Lexicon for Improving Emergency Management in Gas Pipeline Networks through Knowledge FusingApplied Sciences10.3390/app1417809414:17(8094)Online publication date: 9-Sep-2024
https://doi.org/10.3390/app14178094
Nayak LRamudu BNema MKumar R(2024)A Framework for Information Retrieval Using Domain Specific Dictionary: Illustration Through Enhancing the Intelligence CycleArtificial Intelligence and Speech Technology10.1007/978-3-031-75164-6_10(131-142)Online publication date: 24-Nov-2024
https://doi.org/10.1007/978-3-031-75164-6_10
Zhang ZZhang YLu JXu XGao FXiao G(2018)CMfgIA: a cloud manufacturing application mode for industry allianceThe International Journal of Advanced Manufacturing Technology10.1007/s00170-018-2476-x98:9-12(2967-2985)Online publication date: 26-Jul-2018
https://doi.org/10.1007/s00170-018-2476-x

Index Terms

Research and development of domain dictionary construction system
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing

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Published In

WI '17: Proceedings of the International Conference on Web Intelligence

August 2017

1284 pages

ISBN:9781450349512

DOI:10.1145/3106426

Conference Chair:
Amit Sheth
Wright State University GuoROLE@GENERAL CHAIR
,
General Chairs:
Axel Ngonga
Leipzig University, Germany
,
yin Wang
Chongqing University of Posts and Telecommunications, China
,
Elizabeth Chang
The University of New South Wales, Australia
,
Dominik Ślęzak
Infobright Inc. & University of Warsaw, Poland
,
Bogdan Franczyk
Leipzig University, Germany
,
Program Chairs:
Rainer Alt
Leipzig University, Germany
,
Xiaohui Tao
University of Southern Queensland, Australia

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 August 2017

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China Central Fundamental Research Program

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WI '17

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SIGAI
TCII

WI '17: International Conference on Web Intelligence 2017

August 23 - 26, 2017

Leipzig, Germany

Acceptance Rates

WI '17 Paper Acceptance Rate 118 of 178 submissions, 66%;

Overall Acceptance Rate 118 of 178 submissions, 66%

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Cited By

View all

Zhao XHu YQin TWan WWang Y(2024)A Domain-Specific Lexicon for Improving Emergency Management in Gas Pipeline Networks through Knowledge FusingApplied Sciences10.3390/app1417809414:17(8094)Online publication date: 9-Sep-2024
https://doi.org/10.3390/app14178094
Nayak LRamudu BNema MKumar R(2024)A Framework for Information Retrieval Using Domain Specific Dictionary: Illustration Through Enhancing the Intelligence CycleArtificial Intelligence and Speech Technology10.1007/978-3-031-75164-6_10(131-142)Online publication date: 24-Nov-2024
https://doi.org/10.1007/978-3-031-75164-6_10
Zhang ZZhang YLu JXu XGao FXiao G(2018)CMfgIA: a cloud manufacturing application mode for industry allianceThe International Journal of Advanced Manufacturing Technology10.1007/s00170-018-2476-x98:9-12(2967-2985)Online publication date: 26-Jul-2018
https://doi.org/10.1007/s00170-018-2476-x

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A Framework for Dictionary Development: Building Domain Dictionary for Legal Field

Multi‐focus image fusion via morphological similarity‐based dictionary construction and sparse representation

Adaptive dictionary matching