Linking Knowledge: Linked Open Data for Knowledge Organization and Visualization

Richard P. Smiraglia; Andrea Scharnhorst

doi:10.5771/9783956506611

Linking Knowledge: Linked Open Data for Knowledge Organization and Visualization

Richard P. Smiraglia (Editor), Andrea Scharnhorst (Editor)

DANS-KNAW

Research output: Book/Report › Book › Scientific › peer-review

Abstract

The growth and population of the Semantic Web, especially the Linked Open Data (LOD) Cloud, has brought to the fore the challenges of ordering knowledge for data mining on an unprecedented scale.The LOD Cloud is structured from billions of elements of knowledge and pointers to knowledge organization systems (KOSs) such as ontologies, taxonomies, typologies, thesauri, etc. The variant and heterogeneous knowledge areas that comprise the social sciences and humanities (SSH), including cultural heritage applications are bringing multi-dimensional richness to the LOD Cloud. Each such application arrives with its own challenges regarding KOSs in the Cloud. With contributions by Sören Auer, Gerard Coen, Kathleen Gregory, Mohamad Yaser Jaradeh, Daniel Martínez Ávila, Philipp Mayr, Allard Oelen, Cristina Pattuelli, Tobias Renwick, Andrea Scharnhorst, Ronald Siebes, Aida Slavic, Richard P Smiraglia, Markus Stocker, Rick Szostak, Marnix van Berchum, Charles van den Heuvel, J. Bradford Young, Veruska Zamborlini and Marcia Zeng.

Original language	English
Publisher	Ergon – ein Verlag in der Nomos Verlagsgesellschaft
Commissioning body	NWO
Number of pages	250
ISBN (Electronic)	978-3-95650-661-1
ISBN (Print)	978-3-95650-660-4
DOIs	https://doi.org/10.5771/9783956506611
Publication status	Published - 2021

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10.5771/9783956506611

https://zenodo.org/record/6513663#.YnEIaC8RphBLicence: CC BY

DiKG: Digging into the Knowledge Graph
Scharnhorst, A., Smiraglia, R. P. & Szostak, R.
15/09/2017 → 14/09/2020
Project: Research

Cite this

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title = "Linking Knowledge: Linked Open Data for Knowledge Organization and Visualization ",

abstract = "The growth and population of the Semantic Web, especially the Linked Open Data (LOD) Cloud, has brought to the fore the challenges of ordering knowledge for data mining on an unprecedented scale.The LOD Cloud is structured from billions of elements of knowledge and pointers to knowledge organization systems (KOSs) such as ontologies, taxonomies, typologies, thesauri, etc. The variant and heterogeneous knowledge areas that comprise the social sciences and humanities (SSH), including cultural heritage applications are bringing multi-dimensional richness to the LOD Cloud. Each such application arrives with its own challenges regarding KOSs in the Cloud. With contributions by S{\"o}ren Auer, Gerard Coen, Kathleen Gregory, Mohamad Yaser Jaradeh, Daniel Mart{\'i}nez {\'A}vila, Philipp Mayr, Allard Oelen, Cristina Pattuelli, Tobias Renwick, Andrea Scharnhorst, Ronald Siebes, Aida Slavic, Richard P Smiraglia, Markus Stocker, Rick Szostak, Marnix van Berchum, Charles van den Heuvel, J. Bradford Young, Veruska Zamborlini and Marcia Zeng.",

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AB - The growth and population of the Semantic Web, especially the Linked Open Data (LOD) Cloud, has brought to the fore the challenges of ordering knowledge for data mining on an unprecedented scale.The LOD Cloud is structured from billions of elements of knowledge and pointers to knowledge organization systems (KOSs) such as ontologies, taxonomies, typologies, thesauri, etc. The variant and heterogeneous knowledge areas that comprise the social sciences and humanities (SSH), including cultural heritage applications are bringing multi-dimensional richness to the LOD Cloud. Each such application arrives with its own challenges regarding KOSs in the Cloud. With contributions by Sören Auer, Gerard Coen, Kathleen Gregory, Mohamad Yaser Jaradeh, Daniel Martínez Ávila, Philipp Mayr, Allard Oelen, Cristina Pattuelli, Tobias Renwick, Andrea Scharnhorst, Ronald Siebes, Aida Slavic, Richard P Smiraglia, Markus Stocker, Rick Szostak, Marnix van Berchum, Charles van den Heuvel, J. Bradford Young, Veruska Zamborlini and Marcia Zeng.

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Linking Knowledge: Linked Open Data for Knowledge Organization and Visualization

Abstract

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DiKG: Digging into the Knowledge Graph

Cite this