Ontology-Based Database Approach for Handling Preferences - Data Warehousing Design and Advanced Engineering Applications - page 269

The extension of the ontology model with the
preference model permitted to attach various types
of preferences to the entities of the ontology. We
have been able then to describe semantic queries
that handle preferences expressed in the semantic
level, and thus abstracting from the logical model.
The possibility to access the meta-model level
is well adapted for defining some model exten-
sions that preserve upward compatibility with the
extended model.
This work has opened several new directions
and perspectives. Indeed, in a future work a sig-
nificant evaluation of the approach in a broader
area is planned in order to better understand its
possible limitations. From the Data Warehousing
perspective, a possible improvement is to extend
the preference model in order to take aggregation
into account. This will allow users expressing
their preferences directly at the query aggrega-
tion level too (Rizzi, 2007). From a performance
point of view, the evaluation and optimisation of
preference queries (e.g. cost based optimisation)
and the complexity implications of introducing
preferences into queries would be beneficial.

Alexaki, S., Christophides, V., Karvounarakis,
G., Plexousakis, D., & Tolle, K. (2001). The
ICS-FORTH RDFSuite: Managing voluminous
RDF description bases. In Proceedings of the
2nd International Workshop on the Semantic Web
(SemWeb'01) (pp. 1-13).

Bellatreche, L., Giacometti, A., Marcel, P., Mou-
loudi, H., & Laurent, D. (2005). A personaliza-
tion framework for OLAP queries. In DOLAP
'05: Proceedings of the 8th ACM International
Workshop on Data Warehousing and OLAP (pp.
9-18). New York: ACM.

Berners-Lee, T., Hendler, J., & Lassila, O. (2001).
The Semantic Web. Scientific American , 284 (5),
34-43.

Brickley, D., & Guha, R. V. (2004). Rdf schema
(Technical Report, W3C). Retrieved from,
http://www.w3.org/TR/2004/REC-rdfschema-
20040210

Broekstra, J., Kampman, A., & van Harmelen,
F. (2002). Sesame: A generic architecture for
storing and querying RDF and RDF schema. In
Proceedings of the 1st International Semantic Web
Conference (ISWC'02) (pp. 54-68).

REFERENCES

Brzsnyi, S., Kossmann, D., & Stocker, K. (2001).
The skyline operator. In Proceedings of 17th
International Conference of Data Engineering
( ICDE'01) (pp. 421-430).

Abadi, D. J., Marcus, A., Madden, S. R., &
Hollenbach, K. (2007). Scalable Semantic Web
data management using vertical partitioning. In
Proceedings of the 33 rd International Confer-
ence on Very Large Data Bases (VLDB'07) (pp.
411-422).

Cherniack, M., Galvez, E. F., Franklin, M. J., &
Zdonik, S. B. (2003). Profile-driven cache man-
agement. In Proceedings of 19th International
Conference of Data Engineering ( ICDE'03) (pp.
645-656). IEEE Computer Society.

Agrawal, R., Somani,A., & Xu, Y. (2001). Storage
and querying of e-commerce data. In Proceedings
of the 27th International Conference on Very Large
Data Bases (VLDB'01) (pp. 149-158).

Chomicki, J. (2003). Preference formulas in
relations queries. [TODS]. ACM Transac-
tions on Database Systems , 28 (4), 427-466.
doi:10.1145/958942.958946

Agrawal, R., & Wimmers, E. L. (2000). A frame-
work for expressing and combining preferences.
In SIGMOD Conference (pp. 297-306).