AutoMap4OBDA: Automated Generation of R2RML Mappings for OBDA

Sicilia, Álvaro; Nemirovski, German

doi:10.1007/978-3-319-49004-5_37

Cited by 10 publications

(6 citation statements)

References 13 publications

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“…However, it provided only one-to-one relational-to-ontology mapping correspondences but cannot match multiple ontology classes to the same table. AutoMap4OBDA [10] automatically generated R2RML mappings from the schema and content of relational sources by applying ontology learning techniques and string similarity metrics.…”

Section: A Relational Database-to-ontology Mapping Generationmentioning

confidence: 99%

ProGOMap: Automatic Generation of Mappings From Property Graphs to Ontologies

et al. 2021

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Property Graph databases (PGs) are emerging as efficient graph stores with flexible schemata. This raises the need to have a unified view over heterogenous data produced from these stores. Ontology based Data Access (OBDA) has become the most dominant approach to integrate heterogeneous data sources by providing a unified conceptual view (ontology) over them. The corner stone of any OBDA system is to define mappings between the data source and the target (domain) ontology. However, manual mapping generation is time consuming and requires great efforts. This paper proposes ProGOMap (Property Graph to Ontology Mapper) system that automatically generates mappings from property graphs to a domain ontology. ProGOMap starts by generating a putative ontology with direct axioms from PG. A novel ontology learning algorithm is proposed to enrich the putative ontology with subclass axioms inferred from PG. The putative ontology is then aligned to an existing domain ontology using string similarity metrics. Another algorithm is proposed to align object properties between the two ontologies considering different modelling criteria. Finally, mappings are generated from alignment results. Experiments were done on eight data sets with different scenarios to evaluate the effectiveness of the generated mappings. The experimental results achieved mapping accuracy up to 97% and 81% when addressing PG-to-ontology terminological and structural heterogeneities, respectively. Ontology learning by inferring subclass axioms from a property graph helps to address the heterogeneity between the PG and ontology models.

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Section: A Relational Database-to-ontology Mapping Generationmentioning

confidence: 99%

ProGOMap: Automatic Generation of Mappings From Property Graphs to Ontologies

et al. 2021

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“…23 Based on OBDA, Sicilia et al presented AutoMap4OBDA. 24 Considering the relations between the use of relational source contents and target ontology's features, the system can make R2RML mapping files be automatically generated. Another research allows R2RML to define mappings manually.…”

Section: Ontologymentioning

confidence: 99%

Ontology based social life cycle assessment for product development

Shang

Wang

et al. 2018

Advances in Mechanical Engineering

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Social life cycle assessment is an important method to assess products' social impacts throughout their life cycles. There are already some indicators and software to assist conducting social life cycle assessment. However, it is hard for users to share or reuse assessment results because of different application data structures. To resolve this problem, a knowledge-based social life cycle assessment-aided design method is developed in this research. With this method, all elements in the social life cycle assessment process are analyzed and represented as classes, their relationships are described as object properties, and the data structure is represented as data properties to construct an ontology system for social life cycle assessment. Based on the ontology, a social life cycle assessment-aided product development web is developed. According to the data property structure, a bidirectional mapping between database and ontology is realized using JENA and ontology-based data access, which enables the result data to be automatically inputted into ontology individuals. Thus, the result data can be accumulated, shared, and reused among users. A case study with a floor product as well as a user test is carried out to prove the feasibility and usability of the web. The ontology-based social life cycle assessment-aided design method provides users with a new high-efficiency approach, setting the foundation for the intellectualization of life cycle assessment.

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“…Regarding mapping generation, before R2RML became a W3C recommendation, system typically relied on their own native language to define mappings (e.g., D2RQ [70], Mastro [79]). To the best of our knowledge, currently only IncMap [57], MIRROR [59], Ontop [80], Ultrawrap [81,6], and AutoMap4OBDA [82] produce mappings in the R2RML language. Among the systems using OWL or OWL 2 as the ontology language, only BootOX put special attention to the target ontology expressiveness.…”

Section: Related Workmentioning

confidence: 99%

Ontology Based Data Access in Statoil

Kharlamov

Hovland

Skjæveland

et al. 2017

Journal of Web Semantics

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Ontology Based Data Access (OBDA) is a prominent approach to query databases which uses an ontology to expose data in a conceptually clear manner by abstracting away from the technical schema-level details of the underlying data. The ontology is 'connected' to the data via mappings that allow to automatically translate queries posed over the ontology into data-level queries that can be executed by the underlying database management system. Despite a lot of attention from the research community, there are still few instances of real world industrial use of OBDA systems. In this work we present data access challenges in the data-intensive petroleum company Statoil and our experience in addressing these challenges with OBDA technology. In particular, we have developed a deployment module to create ontologies and mappings from relational databases in a semi-automatic fashion; a query processing module to perform and optimise the process of translating ontological queries into data queries and their execution over either a single DB of federated DBs; and a query formulation module to support query construction for engineers with a limited IT background. Our modules have been integrated in one OBDA system, deployed at Statoil, integrated with Statoil's infrastructure, and evaluated with Statoil's engineers and data.

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AutoMap4OBDA: Automated Generation of R2RML Mappings for OBDA

Cited by 10 publications

References 13 publications

ProGOMap: Automatic Generation of Mappings From Property Graphs to Ontologies

ProGOMap: Automatic Generation of Mappings From Property Graphs to Ontologies

Ontology based social life cycle assessment for product development

Ontology Based Data Access in Statoil

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