Morphology-Ontology of Geospatial Data and its Application in Data Discovery

被引：0
|
作者：
Sun, Kai [1 ,2 ]
Zhu, Yunqiang [1 ]
Pan, Peng [1 ]
Luo, Kan [1 ,2 ]
Wang, Dongxu [1 ,2 ]
Hou, Zhiwei [1 ,2 ]
机构：
[1] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
[2] Univ Chinese Acad Sci, Beijing, Peoples R China
来源：
2015 23RD INTERNATIONAL CONFERENCE ON GEOINFORMATICS | 2015年
关键词：
Geospatial data; Data Discovery; Morphological Characteristics; Semantic Heterogeneity; Ontology; PRINCIPLES;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Semantic heterogeneity of geospatial data is the main bottleneck for implementing linked data, intelligent recommendation and accurate discovery of data. The ontology theory is an effective way to solve the semantic heterogeneity of data. Morphological Characteristics is the important research content of Semantic heterogeneity of data. This paper mainly studies morphological characteristics of geospatial data, analyzes its concept, attribute, and relation, and puts forward its concepts system. On this basis, this paper builds the model of Morphology-Ontology of geospatial data and defines the method of formalization representation of morphological information. In the last part, this paper constructs Morphology-Ontology and applies it to the retrieval of metadata of the Data Sharing Infrastructure of Earth System Science. Verification tests show that Morphology-Ontology of geospatial data can solve the semantic heterogeneity of data effectively and improve the precision and recall of the result of data discovery significantly. The research methods and results of this paper are of great reference value to solve the semantic heterogeneity of data in other fields.
引用
收藏
页数：6
相关论文
共 50 条
  • [41] Semantic Web Technologies Based Geospatial Services Discovery and Data Retrieval
    Huang, Mutao
    Tian, Yong
    PROCEEDINGS OF THE 2011 INTERNATIONAL CONFERENCE ON INFORMATICS, CYBERNETICS, AND COMPUTER ENGINEERING (ICCE2011), VOL 3: COMPUTER NETWORKS AND ELECTRONIC ENGINEERING, 2011, 112 : 35 - 43
  • [42] Ontology-driven discovery of geospatial evidence in web pages
    Borges, Karla A. V.
    Davis, Clodoveu A., Jr.
    Laender, Alberto H. F.
    Medeiros, Claudia Bauzer
    GEOINFORMATICA, 2011, 15 (04) : 609 - 631
  • [43] Ontology-driven discovery of geospatial evidence in web pages
    Karla A. V. Borges
    Clodoveu A. Davis
    Alberto H. F. Laender
    Claudia Bauzer Medeiros
    GeoInformatica, 2011, 15 : 609 - 631
  • [44] Ontology-based method for geospatial web services discovery
    Lan, Guiwen
    Huang, Quanyi
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS AND KNOWLEDGE ENGINEERING (ISKE 2007), 2007,
  • [45] From data collection to knowledge data discovery: A medical application of data mining
    Duhamel, A
    Picavet, M
    Devos, P
    Beuscart, R
    MEDINFO 2001: PROCEEDINGS OF THE 10TH WORLD CONGRESS ON MEDICAL INFORMATICS, PTS 1 AND 2, 2001, 84 : 1329 - 1333
  • [46] From data collection to knowledge data discovery: A medical application of data mining
    CERIM, Faculté de Médecine, 1 Place de Verdun, 59045 Lille cedex, France
    不详
    Stud. Health Technol. Informatics, 1600, (1329-1333):
  • [47] Araport: an application platform for data discovery
    Hanlon, Matthew R.
    Vaughn, Matthew
    Mock, Stephen
    Dooley, Rion
    Moreira, Walter
    Stubbs, Joe
    Town, Chris
    Miller, Jason
    Krishnakumar, Vivek
    Ferlanti, Erik
    Pence, Eleanor
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2015, 27 (16): : 4412 - 4422
  • [48] Application programming interface for flood forecasting from geospatial big data and crowdsourcing data
    Puttinaovarat S.
    Horkaew P.
    International Journal of Interactive Mobile Technologies, 2019, 13 (11) : 137 - 156
  • [49] Deep attention based optimized Bi-LSTM for improving geospatial data ontology
    Sambandam, Palaniappan
    Yuvaraj, D.
    Padmakumari, P.
    Swaminathan, Subbiah
    DATA & KNOWLEDGE ENGINEERING, 2023, 144
  • [50] LOGIC FORMULAS BASED KNOWLEDGE DISCOVERY AND ITS APPLICATION TO THE CLASSIFICATION OF BIOLOGICAL DATA
    Felici, G.
    Bertolazzi, P.
    Guarracino, M. R.
    Chinchuluun, A.
    Pardalos, P. M.
    BIOMAT 2008, 2009, : 265 - +
12345