Abstract
Huge amounts of data are generated by sensor readings, social media and databases. Such data introduce new challenges due to their volume and variety, and thus, new techniques are required for their utilization. We believe that reasoning can facilitate the extraction of new and useful knowledge. In particular, we may apply reasoning in order to make and support decisions, clean noisy data and derive high-level information from low-level input data. In this work we discuss the problem of large-scale reasoning over incomplete or inconsistent information, with an emphasis on nonmonotonic reasoning. We outline previous work, challenges and possible solutions, both over MapReduce and alternative high performance computing infrastructures.
| Original language | English |
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| Title of host publication | Web Information Systems Engineering - WISE 2013 Workshops - WISE 2013 International Workshops Big WebData, MBC, PCS, STeH, QUAT, SCEH,and STSC, Revised Selected Papers |
| Publisher | Springer Verlag |
| Pages | 1-10 |
| Number of pages | 10 |
| Volume | 8182 |
| ISBN (Electronic) | 9783642543692 |
| Publication status | Published - 2014 |
| Event | 14th International Workshop on Web Information Systems Engineering - Nanjing, China Duration: 13 Oct 2013 → 15 Oct 2013 Conference number: 14 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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| Volume | 8182 |
| ISSN (Print) | 03029743 |
| ISSN (Electronic) | 16113349 |
Workshop
| Workshop | 14th International Workshop on Web Information Systems Engineering |
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| Abbreviated title | WISE 2013 |
| Country/Territory | China |
| City | Nanjing |
| Period | 13/10/13 → 15/10/13 |