Master data

Title: Annotation paths for matching XML-Schemas
Subtitle:
Abstract:

Annotation paths are a technique for the semantic annotation of XML-Schemas. The design rationale was to develop an embedded annotation method on top of SAWSDL which is fully declarative, easily applicable and still provides the proper expressiveness for high-quality logic-based schema matching. Annotation paths capture significantly more semantics than plain model references, the declarative annotation method of the W3C standard SAWSDL. While the concept of annotation paths was introduced in earlier works, we provide a new formalization of their structure and based thereon define their semantics and introduce matching methods to derive simple and complex value correspondences. Such correspondences can be used for the generation of executable schema mappings using state of the art mapping tools. We provide a comprehensive evaluation of our annotation method and the proposed matching algorithms using real-world schemas and reference ontologies and demonstrate the feasibility of generating executable mappings using a state of the art mapping system. Our evaluations show that our annotation-based matcher achieves outstanding matching quality (avg. f-measure between 0.98 and 1.0).

Keywords: Semantic annotation, Schema matching, Schema mapping, Document transformations, SAWSDL, XML, Interoperability
Publication type: Article in journal (Authorship)
Publication date: 07.2019 (Print)
Published by: Data and Knowledge Engineering
Data and Knowledge Engineering
to publication
 ( Elsevier B.V.; )
Title of the series: -
Volume number: 122
Issue: -
First publication: Yes
Version: -
Page: pp. 25 - 54

Versionen

Keine Version vorhanden
Publication date: 27.12.2017
ISBN (e-book): -
eISSN: -
DOI: http://dx.doi.org/10.1016/j.datak.2017.12.002
Homepage: -
Open access
  • Available online (not open access)
Publication date: 07.2019
ISBN: -
ISSN: 0169-023X
Homepage: https://www.sciencedirect.com/science/article/pii/S0169023X17300654?via%3Dihub
Wibi-relevant version (Admin)

Assignment

Organisation Address
Fakultät für Technische Wissenschaften
 
Institut für Informatik-Systeme
Universitätsstr. 65-67
A-9020 Klagenfurt
Austria
  -993503
   kerstin.smounig@aau.at
https://www.aau.at/isys/
To organisation
Universitätsstr. 65-67
AT - A-9020  Klagenfurt

Categorisation

Subject areas
  • 102 - Computer Sciences
Research Cluster No research Research Cluster selected
Citation index
  • Science Citation Index Expanded (SCI Expanded)
Information about the citation index: Master Journal List
Peer reviewed
  • Yes
Publication focus
  • Science to Science (Quality indicator: II)
Classification raster of the assigned organisational units:
working groups
  • Information and Communication Systems (ICS)

Cooperations

No partner organisations selected

Articles of the publication

No related publications