Ontology-based question answering for digital libraries

被引:0
|
作者
Bloehdorn, Stephan [1 ]
Cimiano, Philipp [1 ]
Duke, Alistair [2 ]
Haase, Peter [1 ]
Heizmann, Joerg [3 ]
Thurlow, Ian [2 ]
Voelker, Johanna [1 ]
机构
[1] Univ Karlsruhe, Inst AIFB, D-76128 Karlsruhe, Germany
[2] British Telecommun PLC, Ipswich IP5 3RE, Suffolk, England
[3] Ontoprise GmbH, D-76227 Karlsruhe, Germany
关键词
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper we present an approach to question answering over heterogeneous knowledge sources that makes use of different ontology management components within the scenario of a digital library application. We present a principled framework for integrating structured metadata and unstructured resource content in a seamless manner which can then be flexibly queried using structured queries expressed in natural language. The novelty of the approach lies in the combination of different semantic technologies providing a clear benefit for the application scenario considered. The resulting system is implemented as part of the digital library of British Telecommunications (BT). The original contribution of our paper lies in the architecture we present allowing for the non-straightforward integration of the different components we consider.
引用
收藏
页码:14 / +
页数:2
相关论文
共 50 条
  • [31] An Introduction to Ontology-Based Query Answering with Existential Rules
    Mugnier, Marie-Laure
    Thomazo, Michael
    REASONING WEB: REASONING ON THE WEB IN THE BIG DATA ERA, 2014, 8714 : 245 - +
  • [32] An introduction to ontology-based query answering with existential rules
    Mugnier, Marie-Laure
    Thomazo, Michaël
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2014, 8714 : 245 - 278
  • [33] Bilingual Ontology-Based Automatic Question Generation
    Diatta, Baboucar
    Basse, Adrien
    Ouya, Samuel
    PROCEEDINGS OF 2019 IEEE GLOBAL ENGINEERING EDUCATION CONFERENCE (EDUCON), 2019, : 679 - 684
  • [34] Ontology-Based Multiple Choice Question Generation
    Alsubait, Tahani
    Parsia, Bijan
    Sattler, Ulrike
    KUNSTLICHE INTELLIGENZ, 2016, 30 (02): : 183 - 188
  • [35] Ontology-Based Multiple Choice Question Generation
    Al-Yahya, Maha
    SCIENTIFIC WORLD JOURNAL, 2014,
  • [36] An ontology-based agricultural question classification method
    Ma, Jianbin
    Wang, Fang
    ICIC Express Letters, Part B: Applications, 2015, 6 (12): : 3355 - 3360
  • [37] Study of Intelligent Question Answering System Based on Ontology
    Xu, Jin
    Li, Yunqing
    PROCEEDINGS OF 2010 INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND INDUSTRIAL ENGINEERING, VOLS I AND II, 2010, : 893 - 896
  • [38] Ontology-based query and answering in chemistry: OntoNova @ Project Halo
    Angele, J
    Moench, E
    Oppermann, H
    Staab, S
    Wenke, D
    SEMANTIC WEB - ISWC 2003, 2003, 2870 : 913 - 928
  • [39] Semantic Based Question Answering System on Travel Ontology
    Rahim, Maria
    Turabee, Zakia
    Rajput, Quratulain
    Khoja, Shakeel Ahmed
    2019 SIXTH INTERNATIONAL CONFERENCE ON SOCIAL NETWORKS ANALYSIS, MANAGEMENT AND SECURITY (SNAMS), 2019, : 67 - 74
  • [40] Study of Intelligent Question Answering System Based on Ontology
    Xu, Jin
    Zhang, Wei
    PROCEEDINGS OF 2020 IEEE 11TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING AND SERVICE SCIENCE (ICSESS 2020), 2020, : 428 - 431