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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mittal, S. Joshi, K.P. Pearce, C. Joshi, A. |
| Copyright Year | 2015 |
| Description | Author affiliation: Univ. of Maryland, Baltimore County, Baltimore, MD, USA (Mittal, S.; Joshi, K.P.; Pearce, C.; Joshi, A.) |
| Abstract | To efficiently utilize their cloud based services, consumers have to continuously monitor and manage the Service Level Agreements (SLA) that define the service performance measures. Currently this is still a time and labor intensive process since the SLAs are primarily stored as text documents. We have significantly automated the process of extracting, managing and monitoring cloud SLAs using natural language processing techniques and Semantic Web technologies. In this paper we describe our prototype system that uses a Hadoop cluster to extract knowledge from unstructured legal text documents. For this prototype we have considered publicly available SLA/terms of service documents of various cloud providers. We use established natural language processing techniques in parallel to speed up cloud legal knowledge base creation. Our system considerably speeds up knowledge base creation and can also be used in other domains that have unstructured data. |
| Starting Page | 2831 |
| Ending Page | 2833 |
| File Size | 175702 |
| Page Count | 3 |
| File Format | |
| e-ISBN | 9781479999262 |
| DOI | 10.1109/BigData.2015.7364092 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-10-29 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Law Knowledge based systems Data Mining Natural language processing Data mining Yttrium Distributed Systems Knowledge Extraction |
| Content Type | Text |
| Resource Type | Article |
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