Abstract
Research depends to a large degree on the availability and quality of primary research data, i.e., data generated through experiments and evaluations. While the Web in general and Linked Data in particular provide a platform and the necessary technologies for sharing, managing and utilizing research data, an ecosystem supporting those tasks is still missing. The vision of the CODE project is the establishment of a sophisticated ecosystem for Linked Data. Here, the extraction of knowledge encapsulated in scientific research paper along with its public release as Linked Data serves as the major use case. Further, Visual Analytics approaches empower end users to analyse, integrate and organize data. During these tasks, specific Big Data issues are present.
Original language | English |
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Title of host publication | Specifying Big Data Benchmarks |
Subtitle of host publication | First Workshop, WBDB 2012, San Jose, CA, USA, May 8-9, 2012, and Second Workshop, WBDB 2012, Pune, India, December 17-18, 2012, Revised Selected Papers |
Editors | Tilmann Rabl, Meikel Poess, Chaitanya Baru, Hans-Arno Jacobsen |
Publisher | Springer |
Pages | 103-112 |
Number of pages | 10 |
ISBN (Print) | 978-3-642-53973-2 |
DOIs | |
Publication status | Published - 2014 |
Externally published | Yes |
Event | 1st Workshop on Big Data Benchmarks 2012 - San Jose, United States Duration: 8 May 2012 → 9 May 2012 Conference number: 1 |
Publication series
Name | Lecture Notes in Computer Science |
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Publisher | Springer Berlin Heidelberg |
Volume | 8163 |
Workshop
Workshop | 1st Workshop on Big Data Benchmarks 2012 |
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Abbreviated title | WBDB |
Country/Territory | United States |
City | San Jose |
Period | 8/05/12 → 9/05/12 |
Keywords
- Linked data
- Natural Language Processing (NLP)
- Data warehousing
- Big data
- n/a OA procedure