Article

Survey of semantic annotation platforms

Authors:

Lawrence Reeve and

Hyoil HanAuthors Info & Claims

SAC '05: Proceedings of the 2005 ACM symposium on Applied computing

March 2005

Pages 1634 - 1638

https://doi.org/10.1145/1066677.1067049

Published: 13 March 2005 Publication History

Abstract

The realization of the Semantic Web requires the widespread availability of semantic annotations for existing and new documents on the Web. Semantic annotations are to tag ontology class instance data and map it into ontology classes. The fully automatic creation of semantic annotations is an unsolved problem. Instead, current systems focus on the semi-automatic creation of annotations. The Semantic Web also requires facilities for the storage of annotations and ontologies, user interfaces, access APIs, and other features to fully support annotation usage. This paper examines current Semantic Web annotation platforms that provide annotation and related services, and reviews their architecture, approaches and performance.

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Alsheref FFattoh I(2020)Medical Text Annotation Tool based on IBM Watson Platform2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS)10.1109/ICACCS48705.2020.9074309(1312-1316)Online publication date: Mar-2020
https://doi.org/10.1109/ICACCS48705.2020.9074309
de Andrade Gde Paiva Oliveira AMoreira A(2019)Ontological Semantic Annotation of an English Corpus Through Condition Random FieldsInformation10.3390/info1005017110:5(171)Online publication date: 9-May-2019
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Index Terms

Survey of semantic annotation platforms
1. General and reference
  1. Document types
    1. Surveys and overviews

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Information

Published In

cover image ACM Conferences

SAC '05: Proceedings of the 2005 ACM symposium on Applied computing

March 2005

1814 pages

ISBN:1581139640

DOI:10.1145/1066677

Conference Chair:
Hisham M. Haddad
Kennesaw State University
,
Editor:
Lorie M. Liebrock
New Mexico Institute of Mining and Technology, Socorro, NM
,
Program Chairs:
Andrea Omicini
Alma Mater Studiorum, Universita di Bologna, Italy
,
Roger L. Wainwright
Univerity of Tulsa, OK

Copyright © 2005 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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Association for Computing Machinery

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Published: 13 March 2005

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SAC05: The 2005 ACM Symposium on Applied Computing

March 13 - 17, 2005

New Mexico, Santa Fe

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Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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https://doi.org/10.1016/j.compind.2021.103497
Alsheref FFattoh I(2020)Medical Text Annotation Tool based on IBM Watson Platform2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS)10.1109/ICACCS48705.2020.9074309(1312-1316)Online publication date: Mar-2020
https://doi.org/10.1109/ICACCS48705.2020.9074309
de Andrade Gde Paiva Oliveira AMoreira A(2019)Ontological Semantic Annotation of an English Corpus Through Condition Random FieldsInformation10.3390/info1005017110:5(171)Online publication date: 9-May-2019
https://doi.org/10.3390/info10050171
Liao XZhao Z(2019)Unsupervised Approaches for Textual Semantic Annotation, A SurveyACM Computing Surveys10.1145/332447352:4(1-45)Online publication date: 30-Aug-2019
https://dl.acm.org/doi/10.1145/3324473
Garcia-Silva AGomez-Perez JPalma RKrystek MMantovani SFoglini FGrande VDe Leo FSalvi STrasatti ERomaniello VAlbani MSilvagni CLeone RMarelli FAlbani SLazzarini MNapier HGlaves HAldridge TMeertens CBoler FLoescher HLaney CGenazzio MCrawl DAltintas I(2019)Enabling FAIR research in Earth Science through research objectsFuture Generation Computer Systems10.1016/j.future.2019.03.04698:C(550-564)Online publication date: 1-Sep-2019
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Shi FLi QZhu TNing H(2018)A Survey of Data Semantization in Internet of ThingsSensors10.3390/s1801031318:1(313)Online publication date: 22-Jan-2018
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Adedugbe OBenkhelifa ECampion R(2018)A Cloud-Driven Framework for a Holistic Approach to Semantic Annotation2018 Fifth International Conference on Social Networks Analysis, Management and Security (SNAMS)10.1109/SNAMS.2018.8554742(128-134)Online publication date: Oct-2018
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Yamakata YTajima KMori S(2018)A Case Study on Start-up of Dataset Construction: In Case of Recipe Named Entity Corpus2018 IEEE International Conference on Big Data (Big Data)10.1109/BigData.2018.8622382(3564-3567)Online publication date: Dec-2018
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Gasparetti FDe Medio CLimongelli CSciarrone FTemperini M(2018)Prerequisites between learning objects: Automatic extraction based on a machine learning approachTelematics and Informatics10.1016/j.tele.2017.05.00735:3(595-610)Online publication date: Jun-2018
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