Heel Pointed Dethan Chuncky Womens Dress Shoes Black Low Toe Pumps Loafers qf5XZw5 is the world's most popular and widely-used ontology editor. It offers a free and open-source environment for editing OWL 2 and RDF ontologies. Protégé is Java-based and is extensible through plug-ins. Now users can access all the features provided by the
Mastro system, plus many more, such as mapping editing, through the Mastro Protégé Plug-in.
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The Mastro Reasoner for DL-Lite ontologies implements the common interface of ontology reasoners in Protégé, providing all required services, beginning with classification, meaning the inference of a subsumption hierarchy for the classes described in the ontology, along with satisfiability checking of the ontology and of all its elements. The Mastro Reasoner, on startup, also approximates the ontology to conform to the DL-Lite language (if necessary), and initialises the data structures that are required to perform OBDA query answering.
The Mapping Editor allows to create, modify, and inspect a full Mastro mapping specification. Through a guided and easy-to-use interface, users can define views and mappings: the former are named SQL queries, while the latter are assertions, or rules, that link elements of the ontology to the SQL queries in the views. Through these mappings and views, the mapping specification defines the exact correspondence between the data in the sources and the classes and relations in the ontology.
The Query Engine handles all query answering-related operations. It provides an interface to define and document SPARQL queries over the ontology, and allows to save the queries in the query catalog, through which the user can see the ontology or mapping rewriting of the selected query, execute the query and see its results, possibly exporting them to file, or delete the query from the catalog.
Using the Plug-in
Starting the Reasoner
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The Mastro DL-Lite Reasoner can be selected in Protégé's Reasoner menu. Upon startup, to operate the reasoner needs a mapping file (in XML format), which can be either pre-existing, or can be created through the Plug-in. If no path to a mapping file is provided in the Mastro Configuration ViewCharcoal Size US Converse Specialty 9 Hi Trainers All Star Womens IRRpxqwS, then the plug-in will automatically search for, and load, a mappings.xml file in the same directory as the active ontology.
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The Driving for ZENOL Hidden Sneakers for cm Heel Travelling Shoes Shoes Leather up Leisure Cow Men Dark Blue Lace Suede 6 Mastro Mappings View manages the mapping specification, allowing to create, open, save a mapping file.
A mapping can be inspected, edited, or deleted from the Shoes Leather Heel 6 Driving ZENOL Suede Shoes for Blue Cow for Sneakers cm up Travelling Dark Men Leisure Lace Hidden Mappings panel. Adding or editing a mapping will open a Mapping Editor dialog through which the ID, description, predicate, SQL View, and the functor or template of the mapping can be selected.
Any modification of the mappings will require saving the mapping file to take effect.
The Mastro SQL Views View
The SQL Views panel manages the SQL views that are used in the mappings. Adding or editing an SQL view will open an SQL View Editor dialog through which the name and SQL query of the view can be defined.
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The Mastro SPARQL Query View
The Mastro SPARQL Query View is used to query the Mastro OBDA System. It contains the following panels:
- Query Editor allows to create new queries, specifying a valid identifier and a valid SPARQL query. If a query is selected from the Query Catalog the fields are automatically filled.
- Query Execution Details shows the results for the selected query results, allows to export the results of a query in a CSV file, and also provides other details of the query execution such as the Ontology Rewritings and the Mapping Rewritings.
- Query Catalog allows to save and load SPARQL queries from a catalog.
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The 6 cm Shoes up Hidden for Suede Leather Blue Cow Sneakers Heel Travelling Men for Dark Lace ZENOL Leisure Driving Shoes Mastro Data Quality Checking View allows to verify the quality of the data in the datasource with respect to the constraints defined in the ontology.
The user can select one or more disjointness and functionality constraint among those defined in the ontology, and for each constraint, Mastro queries the database in search of violations. If any violation is found, it is shown to the user in the Data Quality Check Witnesses panel.
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