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
  • [41] Thai intelligent tutor with information retrieval
    Rattanawongchaiya, N
    Sonamthiang, S
    Naruedomkul, K
    2005 International Conference on Integration of Knowledge Intensive Multi-Agent Systems: KIMAS'05: MODELING, EXPLORATION, AND ENGINEERING, 2005, : 549 - 554
  • [42] APPROACHES TO INTELLIGENT INFORMATION RETRIEVAL.
    Croft, W.Bruce
    Information Processing and Management, 1987, 23 (04): : 249 - 254
  • [43] Intelligent Retrieval System of Ship Fault Information Based on Big Data Analysis
    Zeng, Chi
    JOURNAL OF COASTAL RESEARCH, 2020, : 882 - 886
  • [44] Intelligent Retrieval System for Ship Fault Information Based on Big Data Analysis
    Sheng, Hongyu
    Wang, Xinqiang
    JOURNAL OF COASTAL RESEARCH, 2019, : 1019 - 1025
  • [45] Multi-agent Data Fusion Architecture for Intelligent Web Information Retrieval
    Fard, Amin Milani
    Kahani, Mohsen
    Ghaemi, Reza
    Tabatabaee, Hamid
    PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY, VOL 22, 2007, 22 : 73 - +
  • [46] A New Automated Information Retrieval System by using Intelligent Mobile Agent
    El-Bakry, Hazem M.
    Riad, Alaa M.
    Atwan, Ahmed
    Abd El-Ghany, Sameh
    Mastorakis, Nikos
    PROCEEDINGS OF THE 9TH WSEAS INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, KNOWLEDGE ENGINEERING AND DATA BASES, 2010, : 339 - +
  • [47] Towards an intelligent possibilistic web information retrieval using multiagent system
    Elayeb, Bilel
    Evrard, Fabrice
    Zaghdoud, Montaceur
    Ben Ahmed, Mohamed
    INTERACTIVE TECHNOLOGY AND SMART EDUCATION, 2009, 6 (01) : 40 - +
  • [48] Intelligent Information Retrieval for Tsunami Detection using Wireless Sensor Nodes
    Virmani, Deepali
    Jain, Nikita
    2016 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATIONS AND INFORMATICS (ICACCI), 2016, : 1103 - 1109
  • [49] 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
  • [50] Advances in information retrieval: Recent research from the center for intelligent information retrieval
    Harabagiu, S
    COMPUTATIONAL LINGUISTICS, 2001, 27 (02) : 301 - 303