An assessment of open relation extraction systems for the semantic web

被引：8
|
作者：
Zouaq, Amal [1 ]
Gagnon, Michel [2 ]
Jean-Louis, Ludovic [3 ]
机构：
[1] Univ Ottawa, Ottawa, ON, Canada
[2] Ecole Polytech Montreal, Montreal, PQ, Canada
[3] Netmail Inc, Montreal, PQ, Canada
来源：
INFORMATION SYSTEMS | 2017年 / 71卷
基金：
加拿大自然科学与工程研究理事会;
关键词：
Open knowledge extraction; Open relation extraction; Semantic analysis; Evaluation; Gold standards; Semantic web;
D O I：
10.1016/j.is.2017.08.008
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Open relation extraction has been a growing field of research in the last few years. This paper compares some of the most prominent open relation extractors and explores their strength and weaknesses on standard datasets. In particular, we highlight the lack of formal guidelines that define a valid relation and state that open relation extractors must be situated in particular tasks and contexts. In this respect, we briefly analyze the role of open relation extractors for the semantic Web and linked data context. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码：228 / 239
页数：12
相关论文
共 50 条
  • [1] Methodology for bootstrapping relation extraction for the Semantic Web
    Tchalakova, Maria
    Popov, Borislav
    Yankova, Milena
    ARTIFICIAL INTELLIGENCE: METHODOLOGY, SYSTEMS, AND APPLICATIONS, PROCEEDINGS, 2006, 4183 : 222 - 232
  • [2] Using Semantic Web Technologies for the Assessment of Open Questions
    Castellanos-Nieves, Dagoberto
    Tomas Fernandez-Breis, Jesualdo
    Valencia-Garcia, Rafael
    Cruz, Carlos
    Paz Prendes-Espinosa, Maria
    Martinez-Bejar, Rodrigo
    PRICAI 2008: TRENDS IN ARTIFICIAL INTELLIGENCE, 2008, 5351 : 42 - +
  • [3] An Open Relation Extraction System for Web Text Information
    Li, Huagang
    Liu, Bo
    APPLIED SCIENCES-BASEL, 2022, 12 (11):
  • [4] From hyperlinks to Semantic Web properties using Open Knowledge Extraction
    Presutti, Valentina
    Nuzzolese, Andrea Giovanni
    Consoli, Sergio
    Gangemi, Aldo
    Recupero, Diego Reforgiato
    SEMANTIC WEB, 2016, 7 (04) : 351 - 378
  • [5] Information extraction for the semantic web
    Baumgartner, R
    Eiter, T
    Gottlob, G
    Herzog, M
    Koch, C
    REASONING WEB, 2005, 3564 : 275 - 289
  • [6] From Open Information Extraction to Semantic Web: A Context Rule-Based Strategy
    Hernandez, Julio
    Lopez-Arevalo, Ivan
    Martinez-Rodriguez, Jose L.
    Aldana-Bobadilla, Edwyn
    MINING INTELLIGENCE AND KNOWLEDGE EXPLORATION, MIKE 2018, 2018, 11308 : 32 - 41
  • [7] Using AI and semantic web technologies to attack process complexity in open systems
    Thompson, Simon
    Giles, Nick
    Li, Yang
    Gharib, Hamid
    Nguyen, Thuc Duong
    KNOWLEDGE-BASED SYSTEMS, 2007, 20 (02) : 152 - 159
  • [8] Assessment personalization in the Semantic Web
    Cheniti-Belcadhi, Lilia
    Henze, Nicola
    Braham, Rafik
    JOURNAL OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING, 2008, 8 (03) : 163 - 182
  • [9] Multiple order semantic relation extraction
    Song, Shengli
    Sun, Yulong
    Di, Qiang
    NEURAL COMPUTING & APPLICATIONS, 2019, 31 (09) : 4563 - 4576
  • [10] Multiple order semantic relation extraction
    Shengli Song
    Yulong Sun
    Qiang Di
    Neural Computing and Applications, 2019, 31 : 4563 - 4576
12345