Requirements for and Evaluation of User Support for Large-Scale Ontology Alignment

被引：13
|
作者：
Ivanova, Valentina [1 ,2 ]
Lambrix, Patrick [1 ,2 ]
Aberg, Johan [1 ]
机构：
[1] Linkoping Univ, Dept Comp & Informat Sci, S-58183 Linkoping, Sweden
[2] Linkoping Univ, Swedish E Sci Res Ctr, S-58183 Linkoping, Sweden
来源：
SEMANTIC WEB: LATEST ADVANCES AND NEW DOMAINS, ESWC 2015 | 2015年 / 9088卷
关键词：
D O I：
10.1007/978-3-319-18818-8_1
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Currently one of the challenges for the ontology alignment community is the user involvement in the alignment process. At the same time, the focus of the community has shifted towards large-scale matching which introduces an additional dimension to this issue. This paper aims to provide a set of requirements that foster the user involvement for large-scale ontology alignment tasks. Further, we present and discuss the results of a literature study for 7 ontology alignments systems as well as a heuristic evaluation and an observational user study for 3 ontology alignment systems to reveal the coverage of the requirements in the systems and the support for the requirements in the user interfaces.
引用
收藏
页码：3 / 20
页数：18
相关论文
共 50 条
  • [1] Ontology alignment using artificial neural network for large-scale ontologies
    Djeddi, Warith Eddine
    Khadir, Mohamed Tarek
    International Journal of Metadata, Semantics and Ontologies, 2013, 8 (01): : 75 - 92
  • [2] Improved practical support for large-scale requirements prioritising
    Joachim Karlsson
    Stefan Olsson
    Kevin Ryan
    Requirements Engineering, 1997, 2 (1) : 51 - 60
  • [3] Needs and Challenges for a Platform to Support Large-scale Requirements Engineering
    Fucci, Davide
    Palomares, Cristina
    Franch, Xavier
    Costal, Dolors
    Raatikainen, Mikko
    Stettinger, Martin
    Kurtanovic, Zijad
    Kojo, Tero
    Koenig, Lars
    Falkner, Andreas
    Schenner, Gottfried
    Brasca, Fabrizio
    Mannisto, Tomi
    Felfernig, Alexander
    Maalej, Walid
    PROCEEDINGS OF THE 12TH ACM/IEEE INTERNATIONAL SYMPOSIUM ON EMPIRICAL SOFTWARE ENGINEERING AND MEASUREMENT (ESEM 2018), 2018,
  • [4] Heterogeneous Embedding Propagation for Large-scale E-Commerce User Alignment
    Zheng, Vincent W.
    Sha, Mo
    Li, Yuchen
    Yang, Hongxia
    Fang, Yuan
    Zhang, Zhenjie
    Tan, Kian-Lee
    Chang, Kevin Chen-Chuan
    2018 IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM), 2018, : 1434 - 1439
  • [5] How Serendipity Improves User Satisfaction with Recommendations? A Large-Scale User Evaluation
    Chen, Li
    Yang, Yonghua
    Wang, Ningxia
    Yang, Keping
    Yuan, Quan
    WEB CONFERENCE 2019: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2019), 2019, : 240 - 250
  • [6] Large-scale concept ontology for multimedia
    Naphade, Milind
    Smith, John R.
    Tesic, Jelena
    Chang, Shih-Fu
    Hsu, Winston
    Kennedy, Lyndon
    Hauptmann, Alexander
    Curtis, Jon
    IEEE MULTIMEDIA, 2006, 13 (03) : 86 - 91
  • [7] User Requirements Meet Large-Scale EHR Suites: Norwegian Preparations for Epic
    Ellingsen, Gunnar
    Hertzum, Morten
    DIGITAL PERSONALIZED HEALTH AND MEDICINE, 2020, 270 : 703 - 707
  • [8] User interactions and behaviors in a large-scale online emotional support service
    Doran, Derek
    Massari, Luisa
    Calzarossa, Maria Carla
    Li, Yu
    Tessera, Daniele
    Zhang, Junjie
    SOCIAL NETWORK ANALYSIS AND MINING, 2019, 9 (01)
  • [9] User interactions and behaviors in a large-scale online emotional support service
    Derek Doran
    Luisa Massari
    Maria Carla Calzarossa
    Yu Li
    Daniele Tessera
    Junjie Zhang
    Social Network Analysis and Mining, 2019, 9
  • [10] Eye Tracking Evaluation of User Experience on Large-Scale Displays
    Schall, Andrew
    UNIVERSAL ACCESS IN HUMAN-COMPUTER INTERACTION: ACCESS TO TODAY'S TECHNOLOGIES, PT I, 2015, 9175 : 98 - 108
12345