poster

Towards the semantic formalization of science

Authors:

Christoph LangeAuthors Info & Claims

SAC '20: Proceedings of the 35th Annual ACM Symposium on Applied Computing

Pages 2057 - 2059

https://doi.org/10.1145/3341105.3374132

Published: 30 March 2020 Publication History

Abstract

The past decades have witnessed a huge growth in scholarly information published on the Web, mostly in unstructured or semi-structured formats, which hampers scientific literature exploration and scientometric studies. Past studies on ontologies for structuring scholarly information focused on describing scholarly articles' components, such as document structure, metadata and bibliographies, rather than the scientific work itself. Over the past four years, we have been developing the Science Knowledge Graph Ontologies (SKGO), a set of ontologies for modeling the research findings in various fields of modern science resulting in a knowledge graph. Here, we introduce this ontology suite and discuss the design considerations taken into account during its development. We deem that within the next years, a science knowledge graph is likely to become a crucial component for organizing and exploring scientific work.

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Cited By

Bucur CKuhn TCeolin Dvan Ossenbruggen J(2023)Nanopublication-based semantic publishing and reviewing: a field study with formalization papersPeerJ Computer Science10.7717/peerj-cs.11599(e1159)Online publication date: 21-Feb-2023
https://doi.org/10.7717/peerj-cs.1159
Romansky RHinov N(2023)Technology of Computer ModelingDeterministic and Stochastic Approaches in Computer Modeling and Simulation10.4018/978-1-6684-8947-5.ch003(49-71)Online publication date: 6-Oct-2023
https://doi.org/10.4018/978-1-6684-8947-5.ch003
Ihsan AFathalla SSandfeld SHong JLanperne MPark JCerny TShahriar H(2023)DISO: A Domain Ontology for Modeling Dislocations in Crystalline MaterialsProceedings of the 38th ACM/SIGAPP Symposium on Applied Computing10.1145/3555776.3578739(1746-1753)Online publication date: 27-Mar-2023
https://dl.acm.org/doi/10.1145/3555776.3578739
Show More Cited By

Index Terms

Towards the semantic formalization of science
1. Computing methodologies
  1. Artificial intelligence
    1. Knowledge representation and reasoning
2. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Information extraction

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Published In

cover image ACM Conferences

SAC '20: Proceedings of the 35th Annual ACM Symposium on Applied Computing

March 2020

2348 pages

ISBN:9781450368667

DOI:10.1145/3341105

Conference Chairs:
Chih-Cheng Hung
Kennesaw State University
,
Tomas Cerny
Baylor University
,
Program Chairs:
Dongwan Shin
New Mexico Tech
,
Alessio Bechini
University of Pisa, Italy

Copyright © 2020 Owner/Author.

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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SIGAPP: ACM Special Interest Group on Applied Computing

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 30 March 2020

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ERC project ScienceGRAPH

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SAC '20

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SIGAPP

SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing

March 30 - April 3, 2020

Brno, Czech Republic

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

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Cited By

Bucur CKuhn TCeolin Dvan Ossenbruggen J(2023)Nanopublication-based semantic publishing and reviewing: a field study with formalization papersPeerJ Computer Science10.7717/peerj-cs.11599(e1159)Online publication date: 21-Feb-2023
https://doi.org/10.7717/peerj-cs.1159
Romansky RHinov N(2023)Technology of Computer ModelingDeterministic and Stochastic Approaches in Computer Modeling and Simulation10.4018/978-1-6684-8947-5.ch003(49-71)Online publication date: 6-Oct-2023
https://doi.org/10.4018/978-1-6684-8947-5.ch003
Ihsan AFathalla SSandfeld SHong JLanperne MPark JCerny TShahriar H(2023)DISO: A Domain Ontology for Modeling Dislocations in Crystalline MaterialsProceedings of the 38th ACM/SIGAPP Symposium on Applied Computing10.1145/3555776.3578739(1746-1753)Online publication date: 27-Mar-2023
https://dl.acm.org/doi/10.1145/3555776.3578739
Fathalla SLange CAuer S(2023)An Upper Ontology for Modern Science Branches and Related EntitiesThe Semantic Web10.1007/978-3-031-33455-9_26(436-453)Online publication date: 28-May-2023
https://dl.acm.org/doi/10.1007/978-3-031-33455-9_26
Satveer SSingh S(2022)Towards a Life Cycle Model for the Development of Semantic Web Applications2022 International Conference on Fourth Industrial Revolution Based Technology and Practices (ICFIRTP)10.1109/ICFIRTP56122.2022.10059419(154-159)Online publication date: 23-Nov-2022
https://doi.org/10.1109/ICFIRTP56122.2022.10059419
Angioni SSalatino AOsborne FRecupero DMotta E(2022)The AIDA Dashboard: A Web Application for Assessing and Comparing Scientific ConferencesIEEE Access10.1109/ACCESS.2022.316625610(39471-39486)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3166256
Mohamed HFathalla SLehmann JJabeen H(2022)Efficient computation of comprehensive statistical information of large OWL datasets: a scalable approachEnterprise Information Systems10.1080/17517575.2022.206268317:7Online publication date: 24-Apr-2022
https://doi.org/10.1080/17517575.2022.2062683
Dessí DOsborne FReforgiato Recupero DBuscaldi DMotta E(2022)CS-KG: A Large-Scale Knowledge Graph of Research Entities and Claims in Computer ScienceThe Semantic Web – ISWC 202210.1007/978-3-031-19433-7_39(678-696)Online publication date: 23-Oct-2022
https://dl.acm.org/doi/10.1007/978-3-031-19433-7_39
Angioni SSalatino AOsborne FRecupero DMotta E(2021)AIDA: A knowledge graph about research dynamics in academia and industryQuantitative Science Studies10.1162/qss_a_001622:4(1356-1398)Online publication date: 1-Dec-2021
https://doi.org/10.1162/qss_a_00162
Ghose ALissandrini MHansen EWeidema B(2021)A core ontology for modeling life cycle sustainability assessment on the Semantic WebJournal of Industrial Ecology10.1111/jiec.1322026:3(731-747)Online publication date: 25-Dec-2021
https://doi.org/10.1111/jiec.13220
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