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DataMaster – a Plug-in for Importing Schemas and Data from Relational Databases into Protégé

Abstract[edit]

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Conclusion[edit]

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Future work[edit]

[[has future work:={{{Future work}}}]]

Approach[edit]

Positive Aspects: [[Has PositiveAspects::{{{PositiveAspects}}}]]

Negative Aspects: [[Has NegativeAspects::{{{NegativeAspects}}}]]

Limitations: [[Has Limitations::{{{Limitations}}}]]

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Proposes Algorithm: [[Proposes Algorithm::{{{ProposesAlgorithm}}}]]

Methodology: [[uses Methodology::{{{Methodology}}}]]

Requirements: [[Has Requirements::{{{Requirements}}}]]

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Implementations[edit]

Download-page: [[Has Downloadpage::{{{Download-page}}}]]

Access API: [[access API::{{{API}}}]]

Information Representation: [[Has InfoRepresentation::{{{InfoRepresentation}}}]]

Data Catalogue: [[Has DataCatalouge::{{{Catalogue}}}]]

Runs on OS: [[ runsOn OS::{{{OS}}}]]

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Uses Framework: [[Uses Framework::{{{Framework}}}]]

Has Documentation URL: [[Has DocumentationURL::{{{DocumentationURL}}}]]

Programming Language: [[implementedIn ProgLang::{{{ProgLang}}}]]

Version: [[has Version ::{{{Version}}}]]

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Toolbox: [[uses Toolbox::{{{Toolbox}}}]]

GUI: has GUI::No

Research Problem[edit]

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Evaluation[edit]

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Benchmark used: [[has Benchmark::{{{Benchmark}}}]]

Results: [[Has Results::{{{Results}}}]]


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Paper Title*: Full title of the given paper
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Keywords:
Abstract: Abstract of the paper.
Conclusion:
Future work: Future ideas of the paper.
Problem: The research problem.
Approach: Approach used to achieve the goal.
Implementation: The implementation/framework that is invoked when running.
Evaluation: Proposed work Evaluation.
Positive Aspects:
Negative Aspects:
Limitations:
Challenges:
Proposes Algorithm:
Proposes Model:
Methodology:
Requirements:
Download-page:
Access API:
Information Representation:
Data Catalogue:
OS:
Vendor: Organization: commercial, free or otherwise
Uses Framework: Framework name
Documentation URL: Link to Documentation webpage.
Programming Language:
Version:
Platform:
Toolbox:
GUI: whether the implementation has a GUI?
Subproblem of: A broader research problem.
Related Problem: A another research problem.
Motivation: The motivation to solve the problem.


Experiment setup:
Evaluation method : A broader research problem.
Hypothesis: A another research problem.
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Select evaluation dimension.
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Retrieved from "https://www.openresearch.org/wiki/DataMaster_–_a_Plug-in_for_Importing_Schemas_and_Data_from_Relational_Databases_into_Protégé"
Facts about "DataMaster – a Plug-in for Importing Schemas and Data from Relational Databases into Protégé"
RDF feed
Access APINo data available now. +
Event in seriesIPC +
Has BenchmarkNo data available now. +
Has ChallengesNo data available now. +
Has DataCatalouge{{{Catalogue}}} +
Has DescriptionNo data available now. +
Has DimensionsNo data available now. +
Has DocumentationURLhttps://protegewiki.stanford.edu/wiki/DataMaster#Documentation +
Has Downloadpagehttps://protegewiki.stanford.edu/wiki/DataMaster +
Has EvaluationNo data available now. +
Has EvaluationMethodNo data available now. +
Has ExperimentSetupNo data available now. +
Has GUIYes +
Has HypothesisNo data available now. +
Has ImplementationDataMaster +
Has InfoRepresentationNo data available now. +
Has LimitationsNo data available now. +
Has NegativeAspectsNo data available now. +
Has PositiveAspectsNo data available now. +
Has RequirementsNo data available now. +
Has ResultsNo data available now. +
Has SubproblemNo data available now. +
Has Version1.3.2 +
Has abstractWe present DataMaster, a Protégé plug-in t …
We present DataMaster, a Protégé plug-in that supports the importing of schema structure and data from relational databases into Protégé. The plug-in supports both OWL and frames-based ontologies and can be used with any relational database with JDBC/ODBC drivers.
elational database with JDBC/ODBC drivers. +
Has approachNo data available now. +
Has authorsCsongor Nyulas +, Martin O’Connor + and Samson Tu +
Has conclusionIn this paper, we have presented the DataM …
In this paper, we have presented the DataMaster Protégé plug-in, which allows a user to import schema structures and data from relational databases accessible through JDBC. We have presented the four ontologies that can be used to represent the database structure and the table data and finally we have given a short overview of the different import options available in the DataMaster plug-in.
tions available in the DataMaster plug-in. +
Has future workNo data available now. +
Has keywordsDataMaster, Protégé plug-in, Protégé OWL, tab widget, relational database, schema import, relational-to-OWL +
Has motivationNo data available now. +
Has platformNo data available now. +
Has problemTransforming Relational Databases into Semantic Web +
Has relatedProblemNo data available now. +
Has vendorfree +
Has year2007 +
ImplementedIn ProgLangNo data available now. +
Proposes AlgorithmNo data available now. +
RunsOn OSNo data available now. +
TitleDataMaster – a Plug-in for Importing Schemas and Data from Relational Databases into Protégé +
Uses FrameworkProtege-OWL +
Uses MethodologyNo data available now. +
Uses ToolboxNo data available now. +