Using Linked Data for Intelligent Information Retrieval

被引:0
作者
Hsu, I-Ching [1 ]
Lin, Hsu-Yang [1 ]
Yang, Lee Jang [2 ]
Huang, Der-Chen [2 ]
机构
[1] Natl Formosa Univ, Dept Comp Sci & Informat Engn, 64 Wenhua Rd, Huwei Township, Yunlin, Taiwan
[2] Natl Chung Hsing Univ, Dept Comp Sci & Engn, Taichung, Taiwan
来源
6TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND INTELLIGENT SYSTEMS, AND THE 13TH INTERNATIONAL SYMPOSIUM ON ADVANCED INTELLIGENT SYSTEMS | 2012年
关键词
Linked Data; RDF; Semantic Web; XML; WEB; PLATFORM;
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
The software project of a large-scale information system usually contains a large number and different types of project documents. The key factor for the success of software project is how to efficiently manage project documents. Traditional software project management only focuses on XML-based metadata rather than semantic interlinking to facilitate document retrieval and publication. The main problem XML-based metadata is that lays stress on syntax and format for information interoperability rather than semantic and knowledge for intelligent applications. The Linked Data uses RDF data model that provide a solution to this problem. This study addresses these issues developing a Project Document Ontology (PDO) which is based on RDF Schema and combined with a set of well-known vocabularies, including FOAF, DC, and DOAP, to annotate project documents in Linked Data format. To illustrate the PDO applications, this study demonstrate project documents can be annotated from heterogeneous and distributed project resources, including design document, analysis document, plan document and work log.
引用
收藏
页码:2172 / 2177
页数:6
相关论文
共 50 条
  • [1] Reference data enhancement for geographic information retrieval using linked data
    Moura, Tiago H. V. M.
    Davis, Clodoveu A., Jr.
    Fonseca, Frederico T.
    TRANSACTIONS IN GIS, 2017, 21 (04) : 683 - 700
  • [2] Information retrieval with Linked Open Data
    Avila-Barrientos, Eder
    INVESTIGACION BIBLIOTECOLOGICA, 2022, 36 (91): : 125 - 146
  • [3] inteSearch: An Intelligent Linked Data Information Access Framework
    Rahoman, Md-Mizanur
    Ichise, Ryutaro
    SEMANTIC TECHNOLOGY (JIST 2014), 2015, 8943 : 162 - 177
  • [4] Analysis of the information retrieval process in databases published as linked open data using the RDB2LOD approach
    Pereira, Clayton Martins
    Ferneda, Edberto
    Santarem Segundo, Jose Eduardo
    EM QUESTAO, 2020, 26 (03): : 94 - 120
  • [5] An agent related intelligent search technology, on the web information retrieval system
    Lu, J
    Rahman, U
    Chen, H
    PROCEEDINGS OF THE NINTH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN, VOLS 1 AND 2, 2005, : 458 - 463
  • [6] High-Recall Information Retrieval from Linked Big Data
    Cuzzocrea, Alfredo
    Lee, Wookey
    Leung, Carson K.
    39TH ANNUAL IEEE COMPUTERS, SOFTWARE AND APPLICATIONS CONFERENCE (COMPSAC 2015), VOL 2, 2015, : 712 - 717
  • [7] A proposal of a temporal semantics aware linked data information retrieval framework
    Rahoman, Md-Mizanur
    Ichise, Ryutaro
    JOURNAL OF INTELLIGENT INFORMATION SYSTEMS, 2018, 50 (03) : 573 - 595
  • [8] Intelligent Telecommunication System Using Semantic-Based Information Retrieval
    Jubilson, E. Ajith
    Dhanavanthini, P.
    Paul, P. Victer
    Pravinpathi, V.
    RamCoumare, M.
    Paranidharan, S.
    PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATION TECHNOLOGIES, IC3T 2015, VOL 3, 2016, 381 : 137 - 143
  • [9] Boosting Document Retrieval with Knowledge Extraction and Linked Data
    Rospocher, Marco
    Corcoglioniti, Francesco
    Dragoni, Mauro
    SEMANTIC WEB, 2019, 10 (04) : 753 - 778
  • [10] Enhancing Information Retrieval and Resource Discovery from Data using the Semantic Web
    Jordanous, Anna
    2015 4TH INTERNATIONAL SYMPOSIUM ON EMERGING TRENDS AND TECHNOLOGIES IN LIBRARIES AND INFORMATION SERVICES (ETTLIS), 2015, : 105 - 110