Article

Semantic Wikipedia

Authors:

Markus Krötzsch,

Denny Vrandecic,

Rudi StuderAuthors Info & Claims

WWW '06: Proceedings of the 15th international conference on World Wide Web

Pages 585 - 594

https://doi.org/10.1145/1135777.1135863

Published: 23 May 2006 Publication History

Abstract

Wikipedia is the world's largest collaboratively edited source of encyclopaedic knowledge. But in spite of its utility, its contents are barely machine-interpretable. Structural knowledge, e.,g. about how concepts are interrelated, can neither be formally stated nor automatically processed. Also the wealth of numerical data is only available as plain text and thus can not be processed by its actual meaning.We provide an extension to be integrated in Wikipedia, that allows the typing of links between articles and the specification of typed data inside the articles in an easy-to-use manner.Enabling even casual users to participate in the creation of an open semantic knowledge base, Wikipedia has the chance to become a resource of semantic statements, hitherto unknown regarding size, scope, openness, and internationalisation. These semantic enhancements bring to Wikipedia benefits of today's semantic technologies: more specific ways of searching and browsing. Also, the RDF export, that gives direct access to the formalised knowledge, opens Wikipedia up to a wide range of external applications, that will be able to use it as a background knowledge base.In this paper, we present the design, implementation, and possible uses of this extension.

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Cited By

Jiménez-Salazar J(2025)Wikimedia, Wikipedia and Related InitiativesEncyclopedia of Libraries, Librarianship, and Information Science10.1016/B978-0-323-95689-5.00103-6(307-316)Online publication date: 2025
https://doi.org/10.1016/B978-0-323-95689-5.00103-6
Zhou Z(2024)Research on the Parallel Tractability of Knowledge Graph Reasoning based on Boolean CircuitsData Intelligence10.3724/2096-7004.di.2024.00086:3(692-719)Online publication date: 6-Sep-2024
https://doi.org/10.3724/2096-7004.di.2024.0008
Kircheis WSchmidt MSimons AStein BPotthast MKlein MBen-David AJäschke RKelly M(2024)Mining the History Sections of Wikipedia Articles on Science and TechnologyProceedings of the 2023 ACM/IEEE Joint Conference on Digital Libraries10.1109/JCDL57899.2023.00037(200-204)Online publication date: 26-Jun-2024
https://dl.acm.org/doi/10.1109/JCDL57899.2023.00037
Show More Cited By

Index Terms

Semantic Wikipedia

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Reviews

Reviewer: Michael Lesk

This proposal to add formally identified data to Wikipedia correctly suggests the vast amount of data mining that could be done with semantically labeled data. The authors address issues such as the use of numerical units and methods of agreeing on the names of data labels. Will people actually enter large amounts of data__?__ We don?t know yet. This paper should be read by designers of volunteer or collaborative systems, and would be valuable to those studying cooperative work. Designers can find plans for implementing typed links and similar structures in a way used by others, and those curious about cooperation can judge the work required to label material compared with the benefits. The paper is straightforward and easily readable. Online Computing Reviews Service

Access critical reviews of Computing literature here

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Published In

cover image ACM Conferences

WWW '06: Proceedings of the 15th international conference on World Wide Web

May 2006

1102 pages

ISBN:1595933239

DOI:10.1145/1135777

General Chairs:
Leslie Carr
University of Southampton
,
David De Roure
University of Southampton
,
Arun Iyengar
IBM Research
,
Program Chairs:
Carole Goble
University of Manchester, UK
,
Mike Dahlin
University of Texas at Austin

Copyright © 2006 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 23 May 2006

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WWW06: The 15th International World Wide Web Conference 2006

May 23 - 26, 2006

Edinburgh, Scotland

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Cited By

Jiménez-Salazar J(2025)Wikimedia, Wikipedia and Related InitiativesEncyclopedia of Libraries, Librarianship, and Information Science10.1016/B978-0-323-95689-5.00103-6(307-316)Online publication date: 2025
https://doi.org/10.1016/B978-0-323-95689-5.00103-6
Zhou Z(2024)Research on the Parallel Tractability of Knowledge Graph Reasoning based on Boolean CircuitsData Intelligence10.3724/2096-7004.di.2024.00086:3(692-719)Online publication date: 6-Sep-2024
https://doi.org/10.3724/2096-7004.di.2024.0008
Kircheis WSchmidt MSimons AStein BPotthast MKlein MBen-David AJäschke RKelly M(2024)Mining the History Sections of Wikipedia Articles on Science and TechnologyProceedings of the 2023 ACM/IEEE Joint Conference on Digital Libraries10.1109/JCDL57899.2023.00037(200-204)Online publication date: 26-Jun-2024
https://dl.acm.org/doi/10.1109/JCDL57899.2023.00037
Xue X(2024)Automatic Knowledge Graph matching via Self-adaptive Designed Genetic ProgrammingKnowledge-Based Systems10.1016/j.knosys.2024.111628293(111628)Online publication date: Jun-2024
https://doi.org/10.1016/j.knosys.2024.111628
Liu CHong YXu QYao J(2024)WKE: Word-Level Knowledge Enrichment for Aspect Term ExtractionArtificial Neural Networks and Machine Learning – ICANN 202410.1007/978-3-031-72350-6_26(381-394)Online publication date: 17-Sep-2024
https://doi.org/10.1007/978-3-031-72350-6_26
Weathington KBrubaker J(2023)Queer Identities, Normative Databases: Challenges to Capturing Queerness On WikidataProceedings of the ACM on Human-Computer Interaction10.1145/35795177:CSCW1(1-26)Online publication date: 16-Apr-2023
https://dl.acm.org/doi/10.1145/3579517
Hegade PKalburgi D(2023)PD-Box: A People Place Data Box for Processing Engine Anatomy2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON)10.1109/DELCON57910.2023.10127379(1-6)Online publication date: 24-Feb-2023
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Sun YPlatoš J(2023)A method for constructing word sense embeddings based on word sense inductionScientific Reports10.1038/s41598-023-40062-313:1Online publication date: 9-Aug-2023
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Krabina B(2023)Building a Knowledge Graph for the History of Vienna with Semantic MediaWikiWeb Semantics: Science, Services and Agents on the World Wide Web10.1016/j.websem.2022.10077176:COnline publication date: 1-Apr-2023
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Hegade PRao KKoppikar UKulkarni MNagda J(2023)W-Tree: A Concept Correlation Tree for Data Analysis and AnnotationsBig Data, Machine Learning, and Applications10.1007/978-981-99-3481-2_24(299-311)Online publication date: 30-Nov-2023
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