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STROMA

STROMA (Semantic Refinement of Ontology Mappings) is a mapping enrichment tool that calculates the relation types of the correspondences within a given schema or ontology mapping. The knowledge about the concrete relation type, e.g., equal, is-a, has-a or part-of is very substantial in data integration and related fields, such as ontology merging, data transformation or ontology evolution. To determine the relation types, STROMA exploits different linguistic strategies, combined with background knowledge, structual strategies and some linguistic heuristics.

STROMA sample mapping

The program requires a textual mapping as input and produces an enhanced mapping with the semantic types denoted at each correspondence. The required input format is simplicity itself; it is a CSV-like text file with each line representing one correspondence. For each correspondences, the source concept path and target concept path must be available, and optionally a confidence value (score). Additionally, STROMA is also able to load and process mappings created with COMA 3.0.

In order to obtain optimized results, STROMA uses the background knowledge repository SemRep to determine the relation types, including versatile resources like WordNet, UMLS, ConceptNet and automatically extracted concept relations from Wikipedia.

Download

STROMA is available under an AGPL license.

  • Click here to download STROMA.

  • Click here to download the STROMA User’s Guide.

A benchmark including evaluation data and documentation is available.

  • Click here to download the benchmark.

Publications

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further information
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Arnold, Patrick; Wartner, Christian; Rahm, Erhard
Semi-Automatic Identification of Counterfeit Offers in Online Shopping Platforms
Journal of Internet Commerce, 2016, pp 59-75
2016-02
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publication iconArnold, Patrick
Semantic Enrichment of Ontology Mappings
Dissertation, Universität Leipzig
2015-12
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further information
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Arnold, Patrick; Rahm, Erhard
Automatic Extraction of Semantic Relations from Wikipedia
International Journal on Artificial Intelligence Tools
2015-04
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Arnold, Patrick; Rahm, Erhard
SemRep: A Repository for Semantic Mapping
BTW 2015
2015-03
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further information
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Arnold, Patrick; Rahm, Erhard
Enriching Ontology Mappings with Semantic Relations
Data and Knowledge Engineering, Volume 93, September 2014, Pages 1–18
2014-09
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Arnold, P.; Rahm, E.
Extracting Semantic Concept Relations from Wikipedia
Proc. 4th Int. Conf. Web Intelligence, Mining and Semantics (WIMS)
2014-06
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Arnold, Patrick; Rahm, Erhard
Semantic Enrichment of Ontology Mappings: A Linguistic-based Approach
Proc. 17th ADBIS Conference. LNCS 8133, pp. 42-55
2013-09
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publication iconArnold, Patrick
Semantic Enrichment of Ontology Mappings: Detecting Relation Types and Complex Correspondences
25. GI-Workshop Grundlagen von Datenbanken
2013
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publication iconMassmann, Sabine; Raunich, Salvatore; Aumueller, David; Arnold, Patrick; Rahm, Erhard
Evolution of the COMA Match System
OM-2011 (The Sixth International Workshop on Ontology Matching, October 24th, 2011, Bonn, Germany)
2011-10