Parallelizing Natural Language Techniques for Knowledge Extraction from Cloud Service Level Agreements

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dc.contributor.authorMittal, Sudip
dc.contributor.authorJoshi, Karuna Pande
dc.contributor.authorPearce, Claudia
dc.contributor.authorJoshi, Anupam
dc.date.accessioned2018-11-06T15:17:31Z
dc.date.available2018-11-06T15:17:31Z
dc.date.issued2015-10-19
dc.description2015 IEEE International Conference on Big Dataen_US
dc.description.abstractTo 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.en_US
dc.description.urihttps://ieeexplore.ieee.org/document/7364092en_US
dc.format.extent3 pagesen_US
dc.genreconferenc paper pre-printen_US
dc.identifierdoi:10.13016/M2SQ8QN1R
dc.identifier.citationSudip Mittal, Karuna Pande Joshi, Claudia Pearce, and Anupam Joshi, Parallelizing Natural Language Techniques for Knowledge Extraction from Cloud Service Level Agreements, 2015 IEEE International Conference on Big Data, DOI: 10.1109/BigData.2015.7364092en_US
dc.identifier.uri10.1109/BigData.2015.7364092
dc.identifier.urihttp://hdl.handle.net/11603/11880
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Information Systems Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Student Collection
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.rights© 2015 IEEE
dc.subjectKnowledge Extractionen_US
dc.subjectDistributed Systemsen_US
dc.subjectData Miningen_US
dc.subjectUMBC Ebiquity Research Groupen_US
dc.titleParallelizing Natural Language Techniques for Knowledge Extraction from Cloud Service Level Agreementsen_US
dc.typeTexten_US

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