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XML Querying Using Ontological Information
Linköping University, Department of Computer and Information Science. Linköping University, The Institute of Technology.
Linköping University, Department of Computer and Information Science, TCSLAB - Theoretical Computer Science Laboratory. Linköping University, The Institute of Technology.
2006 (English)In: Principles and Practice of Semantic Web Reasoning / [ed] Jóse Júlio Alferes, James Bailey, Wolfgang May, Uta Schwertel, Springer Berlin/Heidelberg, 2006, Vol. LNCS 4187, 190-203 p.Conference paper (Refereed)
Abstract [en]

The paper addresses the problem of using semantic annotations in XML documents for better querying XML data. We assume that the annotations refer to an ontology defined in OWL (Web Ontology Language). The intention is then to combine syntactic querying techniques on XML documents with OWL ontology reasoning to filter out semantically irrelevant answers. The solution presented in this paper is an extension of the declarative rule-based XML query and transformation language Xcerpt. The extension allows to interface an ontology reasoner from Xcerpt rules. This makes it possible to use Xcerpt to filter extracted XML data using ontological information. Additionally it allows to retrieve ontological information by sending semantic queries to a reasoner. The prototype implementation uses DIG (Description Logic interface) for communication with the OWL reasoner RacerPro where the ontology queries are answered.

Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2006. Vol. LNCS 4187, 190-203 p.
Lecture Notes in Computer Science, ISSN 0302-9743 (print), 1611-3349 (online) ; 4187
National Category
Engineering and Technology
URN: urn:nbn:se:liu:diva-12915DOI: 10.1007/11853107_14ISI: 000241555100014ISBN: 978-3-540-39586-7ISBN: e-978-3-540-39587-4OAI: diva2:17389
4th International Workshop (PPSWR 2006), Budva, Montenegro, June 10-11, 2006
Available from: 2008-01-29 Created: 2008-01-29 Last updated: 2013-06-27
In thesis
1. Types for XML with Application to Xcerpt
Open this publication in new window or tab >>Types for XML with Application to Xcerpt
2008 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

XML data is often accompanied by type information, usually expressed by some schema language. Sometimes XML data can be related to ontologies defining classes of objects, such classes can also be interpreted as types. Type systems proved to be extremely useful in programming languages, for instance to automatically discover certain kinds of errors. This thesis deals with an XML query language Xcerpt, which originally has no underlying type system nor any provision for taking advantage of existing type information. We provide a type system for Xcerpt; it makes possible type inference and checking type correctness.

The system is descriptive: the types associated with Xcerpt constructs are sets of data terms and approximate the semantics of the constructs. A formalism of Type Definitions is adapted to specify such sets. The formalism may be seen as a simplification and abstraction of XML schema languages. The type inference method, which is the core of this work, may be seen as abstract interpretation. A non standard way of assuring termination of fixed point computations is proposed, as standard approaches are too inefficient. The method is proved correct wrt. the formal semantics of Xcerpt.

We also present a method for type checking of programs. A success of type checking implies that the program is correct wrt. its type specification. This means that the program produces results of the specified type whenever it is applied to data of the given type. On the other hand, a failure of type checking suggests that the program may be incorrect. Under certain conditions (on the program and on the type specification), the program is actually incorrect whenever the proof attempt fails.

A prototype implementation of the type system has been developed and usefulness of the approach is illustrated on example programs.

In addition, the thesis outlines possibility of employing semantic types (ontologies) in Xcerpt. Introducing ontology classes into Type Definitions makes possible discovering some errors related to the semantics of data queried by Xcerpt. We also extend Xcerpt with a mechanism of combining XML queries with ontology queries. The approach employs an existing Xcerpt engine and an ontology reasoner; no modifications are required.

Place, publisher, year, edition, pages
Institutionen för datavetenskap, 2008. 175 p.
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 1156
XML, types, Xcerpt, XML schema, ontologies, XML querying
National Category
Computer Science
urn:nbn:se:liu:diva-10687 (URN)978-91-85895-08-3 (ISBN)
Public defence
2008-02-19, Visionen, Hus B, Campus Valla, Linköpings universitet, Linköping, 13:15 (English)
Available from: 2008-01-29 Created: 2008-01-29 Last updated: 2015-03-13

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Wilk, Artur
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