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The New DBpedia Release Cycle: Increasing Agility and Efficiency in Knowledge Extraction Workflows
Since its inception in 2007, DBpedia has been constantly releasing open data in RDF, extracted from various Wikimedia projects using a complex software system called the DBpedia Information Extraction Framework (DIEF). For the past 12 years, the software received a plethora of extensions by the comm...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7586439/ http://dx.doi.org/10.1007/978-3-030-59833-4_1 |
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author | Hofer, Marvin Hellmann, Sebastian Dojchinovski, Milan Frey, Johannes |
author_facet | Hofer, Marvin Hellmann, Sebastian Dojchinovski, Milan Frey, Johannes |
author_sort | Hofer, Marvin |
collection | PubMed |
description | Since its inception in 2007, DBpedia has been constantly releasing open data in RDF, extracted from various Wikimedia projects using a complex software system called the DBpedia Information Extraction Framework (DIEF). For the past 12 years, the software received a plethora of extensions by the community, which positively affected the size and data quality. Due to the increase in size and complexity, the release process was facing huge delays (from 12 to 17 months cycle), thus impacting the agility of the development. In this paper, we describe the new DBpedia release cycle including our innovative release workflow, which allows development teams (in particular those who publish large, open data) to implement agile, cost-efficient processes and scale up productivity. The DBpedia release workflow has been re-engineered, its new primary focus is on productivity and agility, to address the challenges of size and complexity. At the same time, quality is assured by implementing a comprehensive testing methodology. We run an experimental evaluation and argue that the implemented measures increase agility and allow for cost-effective quality-control and debugging and thus achieve a higher level of maintainability. As a result, DBpedia now publishes regular (i.e. monthly) releases with over 21 billion triples with minimal publishing effort . |
format | Online Article Text |
id | pubmed-7586439 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-75864392020-10-27 The New DBpedia Release Cycle: Increasing Agility and Efficiency in Knowledge Extraction Workflows Hofer, Marvin Hellmann, Sebastian Dojchinovski, Milan Frey, Johannes Semantic Systems. In the Era of Knowledge Graphs Article Since its inception in 2007, DBpedia has been constantly releasing open data in RDF, extracted from various Wikimedia projects using a complex software system called the DBpedia Information Extraction Framework (DIEF). For the past 12 years, the software received a plethora of extensions by the community, which positively affected the size and data quality. Due to the increase in size and complexity, the release process was facing huge delays (from 12 to 17 months cycle), thus impacting the agility of the development. In this paper, we describe the new DBpedia release cycle including our innovative release workflow, which allows development teams (in particular those who publish large, open data) to implement agile, cost-efficient processes and scale up productivity. The DBpedia release workflow has been re-engineered, its new primary focus is on productivity and agility, to address the challenges of size and complexity. At the same time, quality is assured by implementing a comprehensive testing methodology. We run an experimental evaluation and argue that the implemented measures increase agility and allow for cost-effective quality-control and debugging and thus achieve a higher level of maintainability. As a result, DBpedia now publishes regular (i.e. monthly) releases with over 21 billion triples with minimal publishing effort . 2020-10-27 /pmc/articles/PMC7586439/ http://dx.doi.org/10.1007/978-3-030-59833-4_1 Text en © The Author(s) 2020 Open Access This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. |
spellingShingle | Article Hofer, Marvin Hellmann, Sebastian Dojchinovski, Milan Frey, Johannes The New DBpedia Release Cycle: Increasing Agility and Efficiency in Knowledge Extraction Workflows |
title | The New DBpedia Release Cycle: Increasing Agility and Efficiency in Knowledge Extraction Workflows |
title_full | The New DBpedia Release Cycle: Increasing Agility and Efficiency in Knowledge Extraction Workflows |
title_fullStr | The New DBpedia Release Cycle: Increasing Agility and Efficiency in Knowledge Extraction Workflows |
title_full_unstemmed | The New DBpedia Release Cycle: Increasing Agility and Efficiency in Knowledge Extraction Workflows |
title_short | The New DBpedia Release Cycle: Increasing Agility and Efficiency in Knowledge Extraction Workflows |
title_sort | new dbpedia release cycle: increasing agility and efficiency in knowledge extraction workflows |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7586439/ http://dx.doi.org/10.1007/978-3-030-59833-4_1 |
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