http://purl.org/dqm-vocabulary/v1/dqm |
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http://www.w3.org/2000/01/rdf-schema#label
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The Data Quality Management Vocabulary - An Ontology for Data Requirements Management, Data Quality Monitoring, Data Quality Assessment, and Data Cleansing
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http://purl.org/dc/terms/license
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http://creativecommons.org/licenses/by-nc-sa/3.0/
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http://purl.org/dc/elements/1.1/creator
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Christian Fürber and Martin Hepp
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http://www.w3.org/1999/02/22-rdf-syntax-ns#type
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http://www.w3.org/2002/07/owl#Ontology
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http://www.w3.org/2002/07/owl#versionInfo
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V 1.00, Release 09-10-2011
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http://purl.org/dc/elements/1.1/rights
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The Data Quality Management Vocabulary is available under the Creative Commons Attribution - Non Commercial - Share Alike 3.0 Unported license; see http://creativecommons.org/licenses/by-nc-sa/3.0/. In a nutshell, you are free to copy, distribute and transmit the work and to remix/adapt the work (e.g. to import the ontology and create specializations of its elements) for non commercial purposes, as long as you attribute the work in the manner specified by the author or licensor (but not in any way that suggests that they endorse you or your use of the work). Proper Attribution: Simply include the statement "This work is based on the Data Quality Management Vocabulary, developed by Christian Fürber and Martin Hepp" and link back to http://purl.org/dqm-vocabulary .
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http://www.w3.org/2000/01/rdf-schema#comment
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The Data Quality Management Vocabulary provides an ontology for the structured representation of data requirements, data quality assessment results, data cleansing rules, and data requirement violations connected to their origin. It, therefore, supports data quality monitoring, data quality assessment, and data cleansing in Semantic Web architectures.
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http://purl.org/dc/elements/1.1/subject
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Data Quality Management, Data Quality Assessment, Data Quality Monitoring, Data Profiling, Data Cleansing, Data Requirements Management
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http://purl.org/dc/elements/1.1/title
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The Data Quality Management Vocabulary
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