NDLI: M2RML: Mapping Multidimensional Data to RDF

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M2RML: Mapping Multidimensional Data to RDF

Content Provider	Semantic Scholar
Author	Ghasemi, Saleh
Copyright Year	2014
Abstract	classes in M2RML are designed to provide a general mapping scheme that can be used for mapping any type of source data. Later we build upon these abstract classes to have more specific classes we need for mapping multidimensional data to RDF triples in DC vocabulary. Abstract classes in M2RML are like abstract or super classes in Object Oriented programming. They provide a basis for building more specific classes with common characteristics. The abstract classes will include these common characteristics and will later be used to build more specific sub classes. Sub classes in RDF are similar to extended/derived/child classes in object oriented programming.classes in M2RML are like abstract or super classes in Object Oriented programming. They provide a basis for building more specific classes with common characteristics. The abstract classes will include these common characteristics and will later be used to build more specific sub classes. Sub classes in RDF are similar to extended/derived/child classes in object oriented programming. M2RML abstract classes are similar to some classes in R2RML which are generalized and has the dependency on relational data removed. Following components are defined general as abstract classes in M2RML: 5.2.1. Map Element This element in M2RML defines our desired mapping as a whole and acts as a container for all other elements. Each map is targeted to generate a specific set of RDF triples and includes required specifications for generating our desired triples. In M2RML the map class is identified by m2r:TriplesMap and includes the following:
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://summit.sfu.ca/system/files/iritems1/13721/etd8216_SGhasemi.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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