How to Best Find a Partner? An Evaluation of Editing Approaches to Construct R2RML Mappings

Pinkel, Christoph; Binnig, Carsten; Haase, Peter; Martin, Clemens; Sengupta, Kunal; Trame, Johannes

doi:10.1007/978-3-319-07443-6_45

Cited by 16 publications

(8 citation statements)

References 4 publications

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“…Each of those directions inflicts a different interaction paradigm between the system and the user and thus solicits different forms of human input: users can edit mappings based on either the source or target definitions, they can drive the process by providing result examples or could theoretically even edit mappings irrespective of either the source or target in an abstract fashion. Some of us have also earlier identified two core user perspectives on mapping generation [41] also discussed by [20]. Moreover, while some approaches consider manual corrections only at the end of the mapping process, more thoroughly semi-automatic approaches allow or even require such input during the process.…”

Section: Differences In the Mapping Processmentioning

confidence: 99%

RODI: Benchmarking relational-to-ontology mapping generation quality

Pinkel

Binnig

Jiménez-Ruiz

et al. 2017

Self Cite

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Accessing and utilizing enterprise or Web data that is scattered across multiple data sources is an important task for both applications and users. Ontology-based data integration, where an ontology mediates between the raw data and its consumers, is a promising approach to facilitate such scenarios. This approach crucially relies on useful mappings to relate the ontology and the data, the latter being typically stored in relational databases. A number of systems to support the construction of such mappings have recently been developed. A generic and effective benchmark for reliable and comparable evaluation of the practical utility of such systems would make an important contribution to the development of ontology-based data integration systems and their application in practice. We have proposed such a benchmark, called RODI. In this paper, we present a new version of RODI, which significantly extends our previous benchmark, and we evaluate various systems with it. RODI includes test scenarios from the domains of scientific conferences, geographical data, and oil and gas exploration. Scenarios are constituted of databases, ontologies, and queries to test expected results. Systems that compute relational-to-ontology mappings can be evaluated using RODI by checking how well they can handle various features of relational schemas and ontologies, and how well the computed mappings work for query answering. Using RODI, we conducted a comprehensive evaluation of seven systems.

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Section: Differences In the Mapping Processmentioning

confidence: 99%

RODI: Benchmarking relational-to-ontology mapping generation quality

Pinkel

Binnig

Jiménez-Ruiz

et al. 2017

Self Cite

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“…There are also interfaces that allow the IT-expert to add new artefacts to the platform, and examine and edit those stored in the central repository, e.g., queries, ontologies and mappings. The platform relies on existing tools for ontology development like Protégé, 7 but features custom-built modules for mapping construction [32].…”

Section: Query Execution Query Execution Query Executionmentioning

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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“…The main limitation of R2RML languages is that in the research community and in the industry, there are certain problems with the adoption of R2RML. The manual creation of R2RML mappings is a time consuming process, the mappings are syntactically heavy in terms of the R2RML vocabulary (these processes imply to design valid SQL queries, to use the proper terms of the R2RML language, and to select the ontology concepts and properties), and for the experts using the language the steep learning curve is mainly caused by gaining expertise of the language [15].…”

Section: Preliminariesmentioning

confidence: 99%

“…An alternative from the ontology driven approach is the databasedriven approach which starts with selection of database elements followed by generation R2RML statements by selecting the proper target ontology elements. As stated in [15], none of these approaches (i.e. ontology-driven and database-driven) is better than the other; however users with a background in database can be more familiar with the ontologydriven approach.…”

Section: Ontology Mapping Interfacementioning

confidence: 99%

Map-On: A web-based editor for visual ontology mapping

Sicilia

Nemirovski

Nölle

2017

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This paper presents Map-On, a web-based editor for visual ontology mapping developed at the Architecture, Representation and Computation research group of the La Salle at Ramon Llull University. The Map-On editor provides a graphical environment for ontology mapping creation based on the representation of mapping using an interactive graph layout. Thus, a point-and-click interface simplifies the mapping creation process. Based on the user inputs the editor automatically generates a R2RML document, particularly produces the IRI patterns and the SQL queries. It has been used in real scenarios alleviating the effort of coding R2RML statements which is one of the main barriers for adopting R2RML in research and in the industry communities.

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How to Best Find a Partner? An Evaluation of Editing Approaches to Construct R2RML Mappings

Cited by 16 publications

References 4 publications

RODI: Benchmarking relational-to-ontology mapping generation quality

RODI: Benchmarking relational-to-ontology mapping generation quality

Ontology Based Data Access in Statoil

Map-On: A web-based editor for visual ontology mapping

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