Semantic Lexical Alignment for Domain-specific Ontologies

被引:0
|
作者
Abu-Shareha, Ahmad Adel [1 ]
Mandava, Rajeswari [1 ]
Ramachandram, Dhanesh [1 ]
机构
[1] Univ Sains Malaysia, Comp Vis Res Grp, Sch Comp Sci, George Town, Malaysia
关键词
component; Domain-specific ontologies; ontology alignment; lexical resources; word-based alignment;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Domain-specific ontologies encode reusable domain vocabulary and represent established domain semantics. The alignment of such ontologies requires an approach based on a semantic analysis of its components. This paper presents SLADO, Semantic Lexical Alignment for Domain-specific Ontologies. The proposed approach aims to use the available dictionaries and lexical resources in the underlying domain and to mine the ontology information to extract words from the string features of the input ontologies. The string features are processed as word wrappers, where every string is assumed to contain some word(s). The architecture of SLADO uses a mixture of lexical and knowledge-based methods in a semantic approach. It first identifies the semantic words from the ontology labels, and then determines the output by comparing the extracted words and their synonyms using lexical resources such as WordNet.
引用
收藏
页码:1458 / 1464
页数:7
相关论文
共 50 条
  • [31] Addressing alignment concerns into the design of domain-specific information systems
    Avila, Oscar
    Goepp, Virginie
    Kiefer, Francois
    JOURNAL OF MANUFACTURING TECHNOLOGY MANAGEMENT, 2018, 29 (05) : 726 - 745
  • [32] Improving domain-specific word alignment with a general bilingual corpus
    Wu, H
    Wang, HF
    MACHINE TRANSLATION: FROM REAL USERS TO RESEARCH, PROCEEDINGS, 2004, 3265 : 262 - 271
  • [33] A novel approach for building Domain-specific Lexical Repository with Chinese Wikipedia
    Ruan, Zhijian
    Li, Xiu
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON EDUCATION, MANAGEMENT AND COMPUTING TECHNOLOGY, 2015, 30 : 1097 - 1104
  • [34] Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering
    Zhang, Yichi
    Chen, Zhuo
    Fang, Yin
    Lu, Yanxi
    Li, Fangming
    Zhang, Wen
    Chen, Huajun
    FINDINGS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: ACL 2024, 2024, : 891 - 904
  • [35] Using Reference Domain Ontologies to Define the Real-World Semantics of Domain-Specific Languages
    de Carvalho, Victorio A.
    Almeida, Joao Paulo A.
    Guizzardi, Giancarlo
    ADVANCED INFORMATION SYSTEMS ENGINEERING (CAISE 2014), 2014, 8484 : 488 - 502
  • [36] Toward a Semantic Granularity Model for Domain-Specific Information Retrieval
    Yan, Xin
    Lau, Raymond Y. K.
    Song, Dawei
    Li, Xue
    Ma, Jian
    ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2011, 29 (03)
  • [37] Method for Creating Domain-Specific Dataset Ontologies from Text in Uncontrolled English
    Minab, Shokoufeh Salem
    Nazaruka, Erika
    APPLIED COMPUTER SYSTEMS, 2025, 30 (01) : 1 - 11
  • [38] Architecture and Language for Semantic Reduction of Domain-Specific Models in BPMS
    Lace, Lelde
    Liepins, Renars
    Rencis, Edgars
    PERSPECTIVES IN BUSINESS INFORMATICS RESEARCH, BIR 2012, 2012, 128 : 70 - 84
  • [39] Domain-specific meta-embedding with latent semantic structures
    Liu, Qian
    Lu, Jie
    Zhang, Guangquan
    Shen, Tao
    Zhang, Zhihan
    Huang, Heyan
    INFORMATION SCIENCES, 2021, 555 : 410 - 423
  • [40] PROOF OF EQUIVALENCE OF SEMANTIC METHODS FOR A SELECTED DOMAIN-SPECIFIC LANGUAGE
    Steingartner, William
    Novitzka, Valerie
    Schreiner, Wolfgang
    JOURNAL OF APPLIED MATHEMATICS AND COMPUTATIONAL MECHANICS, 2024, 23 (02) : 79 - 92