![](bg8.png)
6 CONCLUSIONS AND FUTURE
WORKS
The paper presents the rules for transforming
OWL 2 ontologies into SBVR business vocabularies
and business rules, which are intended for using
interlinked SBVR vocabularies and ontologies in
semantic search or other business applications.
Particularly, we are interested in semantic search in
Lithuanian Internet corpus; therefore, ontologies
reused or developed for that purpose should be
extended with specific labels allowing specifying
Lithuanian words and word phrases for naming
entities of the domain ontologies in the spoken
language and the style of SBVR. The experiments
have shown that freely chosen ontologies could
require some preparation before transforming them
to SBVR vocabularies: providing special labels,
ensuring ontology normalisation, supplementing
them with semantics of part-whole relations, etc.
The performed analysis has inspired extensions
of SBVR required for transforming inverse object
properties and characteristics of object properties. It
still remains a problem to transform OWL 2 object
properties without domains and ranges specified.
Sometimes, domains and ranges may be inferred
from property subsumption hierarchies or inverse
object properties. Also, we yet have not considered
complex domain and range specifications and other
advanced features that would require additional
efforts as well as the wider experimental
investigation of the proposed transformations.
ACKNOWLEDGEMENTS
The work is supported by the project VP1-3.1-
ŠMM-10-V-02-008 “Integration of Business
Processes and Business Rules on the Basis of
Business Semantics” (20132015), which is funded
by the European Social Fund (ESF).
REFERENCES
Bernotaityte, G., Nemuraite, L., Butkiene, R.,
Paradauskas, B., 2013. Developing SBVR
vocabularies and business rules from OWL2
ontologies. In ICIST 2013, CCIS, vol. 319. Springer,
Heidelberg, 134145.
Gailly, F., 2013. Transforming Enterprise Ontologies into
SBVR formalizations. In Proceedings of the CAiSE'13
Forum. Valencia, Spain, pp. 122129.
Ghali, A.E., Chniti, A., Citeau, H., 2012. Bringing OWL
ontologies to the Business Rules Users, In RuleML
2012 Proceedings. Montpellier, pp. 6276.
Halpin, T., 2005. ORM 2 Graphical Notation. Neumont
University, Technical Report ORM2-01.
Halpin, T., Curland, M., 2011. Enriched Support for Ring
Constraints. In On the Move to Meaningful Internet
Systems: OTM 2011 Workshops. LNCS, 7046.
Springer: Berlin, Heidelberg, pp. 309318.
Kaneiwa, K., Iwazyme, M., Fukuda, K., 2007. An upper
ontology for event classifications and relations. In AI
2007. LNAI 4830. Springer, Heidelberg, pp. 394-403.
Karpovic, J., Nemuraite, L., 2011. Transforming SBVR
business semantics into Web ontology language
OWL2: main concepts. In Information Technologies'
2011. Kaunas, Lithuania, pp. 231−238.
Karpovic, J., Nemuraite, L., Stankeviciene, M., 2012.
Requirements for Semantic Business Vocabularies and
Rules for Transforming them into Consistent OWL2
Ontologies. In ICIST 2012, CCIS, vol. 319. Springer,
Heidelberg, pp. 420435.
Kendall, E., Linehan, M. H., 2013. Mapping SBVR to
OWL2. IBM Research Report, RC25363 (WAT1303-
040).
Krisciuniene, G., Nemuraite, L., Butkiene, R.,
Paradauskas, B., 2014. Lexical Ontology Model Based
on SBVR Representations. In Computing,
Communication and Information Technology (CCIT
2014), London, UK, pp.77-81
OMG, 2011. Date-Time Vocabulary (Date-Time). Version
1.0. OMG Document bmi/2011-08-01.
OMG, 2013. Semantics of Business Vocabulary and
Business Rules (SBVR). Version 1.2. OMG Document
Number: formal/2013-11-05.
ONTORule Project, 2009. ONTOlogies meet Business
RULEs. ILOG/IBM, http://ontorule-project.eu/.
Reynares, E., Caliusco, M.L., Galli, M.R., 2013. An
Automatable Approach for SBVR to OWL 2
Mappings. In XVI Ibero-American Conference on
Software Engineering CIbSE 2013. Montevideo,
Uruguay,
pp. 201214.
Scherp, A., Franz, T., Saathoff, C., Staab, S., 2009. F-A
Model of Events based on the Foundational Ontology
DOLCE+DnS Ultralite. In K-CAP 2009. California,
pp. 137144.
Sukys, A., Nemuraite, L., Paradauskas, B., Sinkevičius,
E., 2012a. Transformation framework for SBVR based
semantic queries in business information systems. In
Bustech 2012. Nice, France, IARIA, pp. 16.
Sukys, A., Nemuraite, L., Paradauskas, B., 2012b.
Representing and transforming SBVR question
patterns into SPARQL. In ICIST 2012, CCIS 319.
Springer, Heidelberg, pp. 436451.
W3C, 2012. OWL 2 Web Ontology Language Structural
Specification and Functional-Style Syntax (Second
Edition). W3C Recommendation 11 December 2012.
RulesforTransformingOWL2OntologyintoSBVR
263