A design methodology of ontology based database applications

Bellatreche, Ladjel; Aït‐Ameur, Yamine; Chakroun, Chedlia

doi:10.1093/jigpal/jzq017

Cited by 14 publications

(11 citation statements)

References 6 publications

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“…Finally, the main RDBMS targeted are PostgreSQL, Oracle, MySQL, and MSSQL. Method [28] supports multiple RDBMS and method [29] uses an ontology database system called OntoDB.…”

Section: B Criteria Observationmentioning

confidence: 99%

Generating Relational Database using Ontology Review

Khnaisser¹,

Lavoie²,

Burgun³

et al. 2018

ijacsa

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A huge amount of data is being generated every day from different sources. Access to these data can be very valuable for decision-making. Nevertheless, the extraction of information of interest remains a major challenge given a large number of heterogeneous databases. Building shareable and (re)usable data access mechanisms including automated verification and inference mechanisms for knowledge discovery needs to use a common knowledge model with a secure, coherent, and efficient database. For this purpose, an ontology provides an interesting knowledge model and a relational database provides an interesting storage solution. Many papers propose methods for converting ontology to a relational database. This paper describes issues, challenges, and trends derived from the evaluation of 10 methods using 23 criteria. Following this study, this paper shows that none of the methods are complete as well as the conversion process does not use the full expressivity of ontology to derive a complete relational schema including advanced constraints and modification procedures. Thus, more work must be done to decrease the gap between ontologies, a relation database.

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“…Finally, the main RDBMS targeted are PostgreSQL, Oracle, MySQL, and MSSQL. Method [28] supports multiple RDBMS and method [29] uses an ontology database system called OntoDB.…”

Section: B Criteria Observationmentioning

confidence: 99%

Generating Relational Database using Ontology Review

Khnaisser¹,

Lavoie²,

Burgun³

et al. 2018

ijacsa

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“…• intra-class dependencies • inter-class dependencies. Bellatreche et al (2011) is an example of the first category, where FD are defined on properties of ontological classes as in classical databases.…”

Section: Ontology-based Databases (Obdb)mentioning

confidence: 99%

“…• the conceptual continuity offered by ontologies to generate conceptual models (Bellatreche et al, 2011) and to ease the resolution of data heterogeneity…”

Section: Introductionmentioning

confidence: 99%

MIRSOFT: mediator for integrating and reconciling sources using ontological functional dependencies

Bakhtouchi¹,

Bellatreche²,

Jean³

et al. 2012

IJWGS

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Providing automatic integration solutions is the key to the success of applications managing massive amounts of data. Two main problems stand out in the major studies: i the management of the source heterogeneity ii the reconciliation of query results.To tackle the first problem, formal ontologies are used to explicit the semantic of data. The reconciliation problem consists in deciding whether different identifiers refer to the same instance. Two main trends emerge in the reconciliation process:i the assumption that different source entities representing the same concept have the same key -a strong hypothesis that violates the autonomy of sources.ii The use of statistical methods that identify affinities between conceptsnot suitable for sensitive-applications.In this paper, we propose a methodology integrating sources referencing shared domain ontology enriched with functional dependencies (FD).The presence of FD gives more autonomy to sources when choosing their primary keys and allows deriving a reconciliation key for a given query. The methodology is then validated using LUBM.

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“…In the ER model to the OWL DL in the process of transformation, using only the part of the operator of the OWL DL ontology expression [2] . Based on the above model of ER and ALUIN equivalence relation, combined with the design method of ontology [3] , and keep the semantic method of these four patterns [4] and ER2WO in-depth analysis, this paper designed a kind of semantic-preserved ontology extraction algorithm ER2OWL_P.…”

Section: Introductionmentioning

confidence: 99%

Extracting Semantic-preserved Ontology from Relational Database

Wang¹,

Zhang²,

Du³

et al. 2016

Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control

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To solve the problems that ontology is lack of semantic information in ontology extraction, the advantages and disadvantages of methods that building ontology from database are analyzed and we find that the maximum semantic ability of ER model is ALUIN. On the base of our research, a method of extracting semantic-preserved ontology is proposed. The method is the base of ontology storage and query. The experiment shows that our algorithm can preserve the semantic meaning and has the low complexity.

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A design methodology of ontology based database applications

Cited by 14 publications

References 6 publications

Generating Relational Database using Ontology Review

Generating Relational Database using Ontology Review

MIRSOFT: mediator for integrating and reconciling sources using ontological functional dependencies

Extracting Semantic-preserved Ontology from Relational Database

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