Traffic Information Retrieval Based on Fuzzy Ontology and RDF on the Semantic Web

被引：3
|
作者：
Zhai, Jun [1 ]
Yu, Yi [1 ]
Liang, Yiduo [1 ]
Jiang, Jiatao [1 ]
机构：
[1] Dalian Maritime Univ, Sch Econ & Management, Dalian 116026, Liaoning, Peoples R China
来源：
2008 INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION TECHNOLOGY APPLICATION, VOL III, PROCEEDINGS | 2008年
关键词：
D O I：
10.1109/IITA.2008.401
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Information retrieval is the essential task for Traffic Information Service System in Intelligent Transportation Systems (ITS). There a lot of fuzzy traffic information derived from human factor. To achieve fuzzy semantic retrieval, this paper proposes an approach using Resource Description Framework (RDF) and fuzzy ontology. First, we apply RDF data model to represent traffic information on the Semantic Web. Then we present fuzzy linguistic variable ontology models and its formal representation with RDF. Introducing new data type referred as fuzzy linguistic variables to RDF data model, the semantic query expansion in SeRQL query language is constructed by order relation, equivalence relation, inclusion relation, and complement relation between fuzzy concepts defined in linguistic variable ontologies. Examples show that this research facilitates the semantic retrieval of traffic information through fuzzy concepts for ITS on the Semantic Web.
引用
收藏
页码：779 / 784
页数：6
相关论文
共 50 条
  • [1] Fuzzy semantic retrieval for traffic information based on fuzzy ontology and RDF on the semantic web
    Zhai, Jun
    Chen, Yan
    Yu, Yi
    Liang, Yiduo
    Jiang, Jiatao
    [J]. Journal of Software, 2009, 4 (07) : 758 - 765
  • [2] Semantic Information Retrieval Based on RDF and Fuzzy Ontology for University Scientific Research Management
    Zhai, Jun
    Li, Meng
    Li, Jianfeng
    [J]. AFFECTIVE COMPUTING AND INTELLIGENT INTERACTION, 2012, 137 : 661 - 668
  • [3] Semantic Information Retrieval Based on RDF and Fuzzy Ontology for University Scientific Research Management
    Zhai, Jun
    Li, Meng
    Li, Jianfeng
    [J]. 2010 INTERNATIONAL COLLOQUIUM ON COMPUTING, COMMUNICATION, CONTROL, AND MANAGEMENT (CCCM2010), VOL II, 2010, : 627 - 630
  • [4] Ontology based Fuzzy Classification of Web Documents for Semantic Information Retrieval
    Joshi, Kajal
    Verma, Ashish
    Kandpal, Ankita
    Garg, Shalini
    Chauhan, Rashmi
    Goudar, R. H.
    [J]. 2013 SIXTH INTERNATIONAL CONFERENCE ON CONTEMPORARY COMPUTING (IC3), 2013, : 1 - 5
  • [5] Fuzzy Knowledge Representation for Fuzzy Systems Based on Ontology and RDF on the Semantic Web
    Zhai, Jun
    Liu, Wei
    Liang, Yiduo
    Jiang, Jiatao
    [J]. 2008 INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION, VOLS 1-4, 2008, : 1101 - 1105
  • [6] Ontology-based information retrieval model for the semantic web
    Song, JF
    Zhang, WM
    Xiao, WD
    Li, GH
    Xu, ZN
    [J]. 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service, Proceedings, 2005, : 152 - 155
  • [7] Research on Web Semantic Information Retrieval Technology Based on Ontology
    Zhou, Hong
    Liu, Jun
    [J]. KNOWLEDGE ENGINEERING AND MANAGEMENT, 2011, 123 : 227 - 234
  • [8] Semantic information retrieval based on fuzzy ontology for electronic commerce
    School of Management, Dalian Maritime University, Dalian 116026, China
    [J]. J. Softw., 2008, 9 (20-27):
  • [9] Semantic Web Information Retrieval in XML By Mapping To RDF Schema
    Phyue, Soe Lai
    Thein, Myint Myint
    Win, Thinn Thinn
    Thwin, Mie Mie Su
    [J]. 2010 INTERNATIONAL CONFERENCE ON NETWORKING AND INFORMATION TECHNOLOGY (ICNIT 2010), 2010, : 500 - 503
  • [10] Hybrid Fuzzy-Ontology Design using FCA based Clustering for Information Retrieval in Semantic Web
    Balasubramaniam, K.
    [J]. BIG DATA, CLOUD AND COMPUTING CHALLENGES, 2015, 50 : 135 - 142
12345