Mapping Master: A Flexible Approach for Mapping Spreadsheets to OWL

O’Connor, Martin J.; Halaschek-Wiener, Christian; Musen, Mark A.

doi:10.1007/978-3-642-17749-1_13

Cited by 68 publications

(43 citation statements)

References 4 publications

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“…In the same context, existing querying languages were also considered to describe the mappings, e.g., xsparql [2] which is a language that combines xquery and sparql or Tarql 25 . Due to the lack of query languages or other ways to refer to data in csv format or spreadsheets, different mapping languages were occasionally defined, e.g., the XLWrap's mapping language [22] that converts data in spreadsheets to rdf, or the declarative owl-centric mapping language Mapping Master's M 2 [26] that converts data from spreadsheets into the Web Ontology Language (owl). For relational databases, different mapping languages were defined [15], but the wc-standardized rrml prevailed.…”

Section: Related Workmentioning

confidence: 99%

Assessing and Refining Mappingsto RDF to Improve Dataset Quality

Dimou

Kontokostas

Freudenberg

et al. 2015

The Semantic Web - ISWC 2015

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Abstract. rdf dataset quality assessment is currently performed primarily after data is published. However, there is neither a systematic way to incorporate its results into the dataset nor the assessment into the publishing workflow. Adjustments are manually -but rarely-applied. Nevertheless, the root of the violations which often derive from the mappings that specify how the rdf dataset will be generated, is not identified. We suggest an incremental, iterative and uniform validation workflow for rdf datasets stemming originally from (semi-)structured data (e.g., csv, xml, json). In this work, we focus on assessing and improving their mappings. We incorporate (i) a test-driven approach for assessing the mappings instead of the rdf dataset itself, as mappings reflect how the dataset will be formed when generated; and (ii) perform semi-automatic mapping refinements based on the results of the quality assessment. The proposed workflow is applied to diverse cases, e.g., large, crowdsourced datasets such as dbpedia, or newly generated, such as iLastic. Our evaluation indicates the efficiency of our workflow, as it significantly improves the overall quality of an rdf dataset in the observed cases.

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Section: Related Workmentioning

confidence: 99%

Assessing and Refining Mappingsto RDF to Improve Dataset Quality

Dimou

Kontokostas

Freudenberg

et al. 2015

The Semantic Web - ISWC 2015

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show abstract

“…In tarql language [6], the mapping definitions have sparql syntax, thus the input csv file is defined as follows SELECT ... FROM <file:example.csv>. Last, the declarative owl-centric mapping language Mapping Master's M 2 [23] which converts data from spreadsheets into owl, does not specify at all within the mapping definitions the input source. A larger variety of solutions exist to map data in xml format to rdf, but tools mostly rely on existing xml solutions, such as xslt (e.g., Krextor 7 and AstroGrid-D 8 ), xpath (e.g., Tripliser 9 ), and xquery (e.g., xsparql 10 ).…”

Section: Mapping Languagesmentioning

confidence: 99%

Machine-interpretable dataset and service descriptions for heterogeneous data access and retrieval

Dimou

Verborgh

Sande

et al. 2015

Proceedings of the 11th International Conference on Semantic Systems

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To refer to or to cite this work, please use the citation to the published version: Dimou, A., Verborgh, R., Vander Sande, M., Mannens, E., and Van ABSTRACTThe rdf data model allows the description of domain-level knowledge that is understandable by both humans and machines. rdf data can be derived from different source formats and diverse access points, ranging from databases or files in csv format to data retrieved from Web apis in json, Web Services in xml or any other speciality formats. To this end, vocabularies such as rml were introduced to uniformly define how data in multiple heterogeneous sources is mapped to the rdf data model, independently of their original format. This approach results in mapping definitions that are machine-processable and interoperable. However, the way in which this data is accessed and retrieved still remains hard-coded, as corresponding descriptions are often not available or not taken into account. In this paper, we introduce an approach that takes advantage of widelyaccepted vocabularies, originally used to advertise services or datasets, such as Hydra or dcat, to define how to access Web-based or other data sources. Consequently, the generation of rdf representations is facilitated, as the description of the interaction models with the original data remains independent, interoperable and granular.

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“…For CSV2RDF mappings, the XLWrap mapping language (Langegger & Wöss 2009), the Mapping Master's M2 (O'Connor et al 2010) and TARQL (Cyganiak 2014) can be used. For XML2RDF mapings, the GRDDL mechanism (GRDDL Working Group 2007), Krextor (Lange 2009), and ReDeFer (Garcia & Gil 2007) can be used.…”

Section: The Conversion Processmentioning

confidence: 99%

Making SimModel information available as RDF graphs

Pauwels¹,

Corry²,

O’Donnell³

2014

eWork and eBusiness in Architecture, Engineering and Construction

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Many building energy performance Simulation (BEPS) on tools use custom schema definitions as opposed to standardised schema definitions (defined in XSD, EXPRESS, and so forth). A Simulation Domain Model (SimModel) was therefore previously developed and is representative of a new interoperable XML-based data model for the building simulation domain. In this paper we document our ongoing efforts to make building simulation data more interoperable with other building data. In order to better integrate SimModel information with other building information, the authors propose to represent this information in the Resource Description Framework (RDF). A specialised conversion service parses the SimModel ontology, which is in the form of linked XSD schemata, and output a SimModel ontology in OWL. In this article, we further outline how the conversion service now also parses input SimModel XML files and outputs SimModel instances as RDF graphs. We briefly indicated how those SimModel RDF graphs can subsequently be used.

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Mapping Master: A Flexible Approach for Mapping Spreadsheets to OWL

Cited by 68 publications

References 4 publications

Assessing and Refining Mappingsto RDF to Improve Dataset Quality

Assessing and Refining Mappingsto RDF to Improve Dataset Quality

Machine-interpretable dataset and service descriptions for heterogeneous data access and retrieval

Making SimModel information available as RDF graphs

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