Exploiting the Arabic Wikipedia for semi-automatic construction of a lexical ontology

被引：0

作者：

Boudabous, Mohamed Mahdi ^{[1
]}

Belguith, Lamia Hadrich ^{[1
]}

Sadat, Fatiha ^{[2
]}

机构：

[1] MIRACL Laboratory, Faculty of Economics and Management of Sfax, Sfax

[2] Department of Computer Science, University of Quebec in Montreal (UQAM), Montreal

来源：

International Journal of Metadata, Semantics and Ontologies | 2013年 / 8卷 / 03期

关键词：

Arabic lexical ontology; Arabic ontology; Arabic Wikipedia; Morpho-lexical patterns; Ontology; lexical ontology; Semantic relations;

D O I：

10.1504/IJMSO.2013.057768

中图分类号：

学科分类号：

摘要：

In this paper, we propose a hybrid (numerical/linguistic) method to build a lexical ontology for the Arabic language. This method is based on the Arabic Wikipedia. It consists of two phases: analysing the description section in order to build core ontology and then using the physical structure of Wikipedia articles (info-boxes, category pages and redirect links) and their contents for enriching the core ontology. The building phase of the core ontology is implemented via the TBAO system. The obtained core ontology contains more than 200,000 concepts. Copyright © 2013 Inderscience Enterprises Ltd.

引用

页码：245 / 253

页数：8

共 50 条

[21] Research and Application of Semi-automatic Construction of Structured Knowledge graph
Hu, Huan
Yun, Hongyan
He, Ying
Zhang, Xiuhua
Yun, Yang
PROCEEDINGS OF 2019 2ND INTERNATIONAL CONFERENCE ON BIG DATA TECHNOLOGIES (ICBDT 2019), 2019, : 39 - 43
[22] Semi-automatic construction of metadata from a series of web documents
Hirokawa, S
Itoh, E
Miyahara, T
AI 2003: ADVANCES IN ARTIFICIAL INTELLIGENCE, 2003, 2903 : 942 - 953
[23] Semi-Automatic Rule Learning Method Enabling Information Extraction for Ontology Population
Girish R. Ranganathan
Yevgen Biletskiy
Ismail Akbari
Iranian Journal of Science and Technology, Transactions of Electrical Engineering, 2016, 40 : 103 - 115
[24] Semi-automatic Ontology Matching Approach for Integration of Various Data Models in Automotive
Jirkovsky, Vaclav
Kadera, Petr
Rychtyckyj, Nestor
INDUSTRIAL APPLICATIONS OF HOLONIC AND MULTI-AGENT SYSTEMS, 2017, 10444 : 53 - 65
[25] Semi-Automatic Rule Learning Method Enabling Information Extraction for Ontology Population
Ranganathan, Girish R.
Biletskiy, Yevgen
Akbari, Ismail
IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF ELECTRICAL ENGINEERING, 2016, 40 (2-4) : 103 - 115
[26] Collaborative Decision-Making: A Proposal of an Semi-Automatic Facilitation Based on an Ontology
Konate, Jacqueline
Gueye, Aminata
Zarate, Pascale
Camilleri, Guy
INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING, 2023, 22 (01) : 447 - 470
[27] An Ontology-BasedMethod for Semi-Automatic Disassembly of LCD Monitors and Unexpected Product Types
Foo, Gwendolyn
Kara, Sami
Pagnucco, Maurice
INTERNATIONAL JOURNAL OF AUTOMATION TECHNOLOGY, 2021, 15 (02) : 168 - 181
[28] VUMO: Towards an Ontology of Urban Mobility Events for Supporting Semi-Automatic Visualization Tools
Sobral, Thiago
Galvao, Teresa
Borges, Jose
2016 IEEE 19TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2016, : 1700 - 1705
[29] A semi-automatic ontology learning based on WordNet and event-based natural language processing
Zhou, Wen
Liu, Zongtian
Zhao, Yan
Xu, Libin
Chen, Guang
Wu, Qiang
Huang, Mei-Li
Qiang, Yu
2006 INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION, 2007, : 240 - +
[30] High Quality Arabic Lexical Ontology Based on MUHIT, WordNet, SUMO and DBpedia
Kamal, Eslam
Rashwan, Mohsen
Alansary, Sameh
COMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING (CICLING 2015), PT I, 2015, 9041 : 98 - 111

← 1 2 3 4 5 →