![](bg4.png)
speed of the proposed semantic disambiguation
during XML filtering, in comparison with the
technique described in (Tagarelli et al., 2009). We
have used a set of 50000 and 100000 stored user
profiles and 45000 incoming XML documents for
testing. The results are displayed in
Table 2.
Table 1: Number of hops.
#Peers
#Total
hops
#Neighbou
r hops
#Routin
g hops
Perc.
50000 6834 5391 1443 13.6%
100000 10351 8280 2071 10.3%
200000 12179 9778 2401 6.1%
500000 14260 11323 2937 2.8%
Table 2: Precision and time of XML tag disambiguation
(A: our approach, B: Tagarelli's approach).
#Profiles Precision A Time A Precision B Time B
5000 85% 1291s 90% 1972s
10000 82% 2189s 88% 3281s
As we can easily observe, our approach performs
very well, achieving an average precision of about
84%. In addition, due to the simplicity of our
approach, the required time for the disambiguation is
much smaller (about 30% faster).
AKNOWLEDGEMENTS
This research has been co-financed by the European
Union (European Social Fund – ESF) and Greek
national funds through the Operational Program
"Education and Lifelong Learning" of the National
Strategic Reference Framework (NSRF) - Research
Funding Program: Thales. Investing in knowledge
society through the European Social Fund.
This research has been co-financed by the
European Union (European Social Fund-ESF) and
Greek national funds through the Operational
Program "Education and Lifelong Learning" of the
National Strategic Reference Framework (NSRF)-
Research Funding Program: Heracleitus II. Investing
in knowledge society through the European Social
Fund.
REFERENCES
Abiteboul, S., Manolescu, I., Polyzotis, N., Preda, N. and
Sun, C. XML processing in DHT networks.
ICDE,
2008.
Antonellis, P. and Makris, C. XFIS: An XML filtering
system based on string representation and matching.
International Journal on Web Engineering and
Technology (IJWET)
, 4(1), 70-94, 2008.
Antonellis, P. and Makris, C. XML Filtering Using
Dynamic Hierarchical Clustering of User Profiles.
DEXA, 537-551, 2008.
Antonellis, P., Makris, C. and Tsirakis, N. Utilizing XML
Clustering for Efficient XML Data Management on
P2P Networks.
DEXA, 68-82, 2009.
Aguilera, M. K., Strom, R.E., Stunnan, D. C., Astley, M.
and Chandra, T. D. Matching events in a content-
based subscription system.
PODC, 53–61, 1999.
Bender, M., Michel, S., Weikum, G. and Zimmer, C. The
MINERVA Project - Database Selection in the
Context of P2P Search.
BTW Conference, 2005.
Bonomi, F., Mitzenmacher, M., Panigrahy R., Singh S.
and Varghese G. An Improved Construction for
Counting Bloom Filters.
ESA, 684-695, 2006.
Bonomi, F., Mitzenmacher M., Panigrahy R., Singh S.
and Varghese G. Beyond bloom filters: from
approximate membership checks to approximate state
machines. SIGCOMM , 315-326, 2006.
Budanitsky, A. and Hirst, G. Evaluating WordNet-based
measures of lexical semantic relatedness. Association
for Computational Linguistics
, 32, 32-47, 2006.
Jagadish, H. V, Ooi, B. C., Vu, Q. H, Zhang, R. and Zhou.
A. VBI-Tree: a Peer-to-Peer Framework for
Supporting Multi-Dimensional Indexing Schemes.
ICDE, 2006.
Miliaraki, I. and Koubarakis, M. Distributed structural and
value XML filtering. 4th ACM International
Conference on Distributed Event-Based Systems
, 2–
13, 2010.
Miller, G. A., Beckwith, R., Fellbaum, C. D., Gross, D.
and Miller. K. WordNet: An online lexical database.
Int. J. Lexicograph, 3(4), 235-244, 1990.
Ning, B. and Liu, C. XM filtering with XPath expressions
containing parent and ancestor axes.
Information
Sciences
, Elsevier, 210 (Nov. 2010), 41-54, 2010.
Patwardhan, S., Banerjee, S., and Pedersen, T. Using
measures of semantic relatedness for word sense
disambiguation.
In Proceedings of the International
Conference on Intelligent Text Processing and
Computational Linguistics (CICLing)
. 241–257, 2003.
Podnar, I., Rajman, M., Luu, T., Klemm, F. and Aberer,
K. Scalable Peer-to-Peer Web Retrieval with Highly
Discriminative Keys.
ICDE, 2007.
Tagarelli, A. and Greco, S. Semantic clustering of xml
documents. ACM Transactions on Information
Systems,
28 (1), 1-56, 2010.
Tagarelli, A., Longo, M. and Greco S. Word Sense
Disambiguation for XML Structure Feature
Generation.
In Proceedings of the 6th European
Semantic Web Conference on The Semantic Web:
Research and Applications
, 2009.
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