Use of the Smart City Ontology for Relevant Information Retrieval

被引:0
|
作者
Nataliya, Kunanets [1 ]
Matsiuk, Halyna [2 ]
机构
[1] Lviv Polytech Natl Univ, Lvov, Ukraine
[2] Ternopil Ivan Puluj Natl Tech Univ, Ternopol, Ukraine
来源
COMPUTATIONAL LINGUISTICS AND INTELLIGENT SYSTEMS (COLINS-2019), VOL I: MAIN CONFERENCE | 2019年 / 2362卷
关键词
ontology; data domain; thesaurus;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Today, many Intelligent Web Applications require the use of distributed knowledge bases formalized in the form of ontologies and thesauri. They are the new intellectual means for searching resources on the Internet, new methods for representing, systematizing and processing of knowledge and inquiries. They can accurately and effectively describe the data semantics for certain subject area and solve the problem of incompatibility and contradictory concepts. A brief overview of recent foreign investigations aimed at solving the problems of ontologies construction and development in various fields of science is carried out in this paper. Different points of view on the concepts of ontology used in modern information technologies are covered and the definition of this term is given in this paper. The ontological approach to the formation of information inquiries is considered, the search scheme on the basis of ontologies, the algorithm for the ontology domain construction and the example of ontology fragment construction in the "Smart City" data domain are presented.
引用
收藏
页码:322 / 333
页数:12
相关论文
共 50 条
  • [21] Constructing City Ontology from Expert for Smart City Management
    Chung, Tong Lee
    Xu, Bin
    Zhang, Peng
    Tan, Yuanhua
    Zhu, Ping
    Wubulihasimu, Adeli
    SEMANTIC TECHNOLOGY, 2014, 8388 : 187 - 194
  • [22] Smart city workflow patterns for qualitative aggregate information retrieval from distributed public information resources
    Chu, Wanming
    INTERNATIONAL JOURNAL OF COMPUTATIONAL SCIENCE AND ENGINEERING, 2018, 16 (04) : 401 - 410
  • [23] EFFECT OF IRRELEVANT INFORMATION ON RETRIEVAL TIME FOR RELEVANT INFORMATION
    SIMON, JR
    BERBAUM, K
    ACTA PSYCHOLOGICA, 1988, 67 (01) : 33 - 57
  • [24] A Linked Data-Based Framework for Personalized Services Information Retrieval in Smart City
    Zhang, Dehai
    Song, Tianlong
    Li, Jin
    Liu, Qing
    WEB INFORMATION SYSTEMS ENGINEERING - WISE 2013 WORKSHOPS, 2014, 8182 : 461 - 473
  • [25] Ontology-based retrieval of geographic information
    Lutz, M
    Klien, E
    INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2006, 20 (03) : 233 - 260
  • [26] An ontology-based information retrieval model
    Vallet, D
    Fernández, M
    Castells, P
    SEMANTIC WEB: RESEARCH AND APPLICATIONS, PROCEEDINGS, 2005, 3532 : 455 - 470
  • [27] Ontology based Product Information Retrieval ECOMMTOLOGY
    Khamparia, Aditya
    Sharma, Nmmita
    Pandey, Babita
    2016 SECOND INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE & COMMUNICATION TECHNOLOGY (CICT), 2016, : 627 - 631
  • [28] OntoIRBR: Ontology for Information Retrieval in Bibliographic Resources
    Marques, Demis
    Quingerski, Leandro
    Bamberg, Callu
    Freire, Patricia de Sa
    TRANSDISCIPLINARY ENGINEERING: CROSSING BOUNDARIES, 2016, 4 : 1029 - 1037
  • [29] WordNet ontology based model for information retrieval
    Moravec, P
    Smid, J
    Snásel, V
    Obitko, M
    CIC '04: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON COMMUNICATIONS IN COMPUTING, 2004, : 288 - 294
  • [30] The Ontology of Bulgarian Dialects - architecture and information retrieval
    Dekova, Rositsa
    PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2020), 2020, : 4877 - 4882