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<title>Alignment API: Systems</title>
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<center><h1>Alignment API: Systems using the Alignment API</h1></center>
<p>
If you use the Alignment API and/or the Alignment server and are
willing to be included here (this certainly help supporting this work), do not
hesitate to contact us.
</p>
<p style="font-size: 80%">
This list is obviously incomplete. Most of the systems have at least a
published reference. They are not necessarily independent from our work.
</p>
<h2>Systems embedding the Alignment API</h2>
<p>These systems can use any implementation of the API and thus take
advantage of all matching system extending the API.
<dl>
<!--dt>[<a href="">Alignment Server</a>]</dt>
<dd>
<br /><small>
, <a href=""></a>,
</small>
</dd-->
<dt>[<a href="http://www.neon-toolkit.org/">NeOn toolkit</a>]</dt>
<dd>
The NeOn toolkit has an Alignment plug-in based on the Alignment
API and Alignment server. It allows to match ontologies loaded in
the toolkit as well as search existing alignments in an Alignment
server. The plug-in for the NeOn toolkit is shiped with the Alignment
API and available through the NeOn toolkit plug-in installer.
<!--br /><small>
, <a href=""></a>,
</small-->
</dd>
<dt>[<a href="http://krono.act.uji.es/people/Ernesto/contentmapC">ContentMap</a>]</dt>
<dd>
ContentMap is a tool to help users anticipate the effect of merging
ontologies through alignments. For that purpose, it is able to
generate the consequences entailed by aligned ontologies and to detect
inconsistencies. It uses the Alignment API for expressing alignments.
<br /><small>
Ernesto Jimenez Ruiz, Bernardo Cuenca Grau, Ian Horrocks and Rafael
Berlanga, <a href="http://krono.act.uji.es/people/Ernesto/contentmap/ContentMapTechReport.pdf">Ontology Integration Using Mappings: Towards Getting the
Right Logical Consequences</a>, Proc. 6th ESWC, Heraklion (GR), LNCS 5554:173-187, 2009
</small>
</dd>
<dt>[<a href="http://cupboard.open.ac.uk">Cupboard</a>]</dt>
<dd>
Cupboard is a personal repository for ontologies and alignments. It
allows to find ontlogies from Watson and alignments from the Alignment
server and to register them to the user's personal space. These
resources also share metadata through Oyster and ratings through OTS.
<br /><small>
Mathieu d'Aquin, Holger Lewen, <a href="http://watson.kmi.open.ac.uk/DownloadsAndPublications_files/eswc09D.pdf">Cupboard - A Place to Expose your Ontologies to Applications and
the Community</a>, Proc. 6th ESWC demo paper, Heraklion (GR), LNCS 5554:907-910, 2009
</small>
</dd>
<dt>[<a href="http://www.webcontent.fr/">WebContent platform</a>]</dt>
<dd>
The WebContent project aims to offer a platform for taking adavantage
of the resources from the semantic web. It offers an alignment service
based on the Alignment server. The WebContent service is shipped with
the Alignment API.
<br /><!--small>
, <a href=""></a>,
</small-->
</dd>
<dt>[<a href="http://align.deri.org"></a>OWL Ontology Aligner]</dt>
<dd>A server built around the API for processing, editing and
rendering alignments (University of Innsbruck).<br />
<small>
Anna Zhdanova, Pavel Shvaiko, <a href="http://www.springerlink.com/index/p814uu7005251361.pdf">Community-Driven Ontology
Matching</a>, Proc. 3rd ESWC, LNCS 4011:34-39, 2006
</small>
</dd>
<dt>[<a href="http://www.stylid.org/">StYLiD</a>]</dt>
<dd>
StYLiD aims at offering a consolidated view of ontologies in the
semantic web. For that purpose it has to record relations between
concerts from different ontologies and uses the Alignment API.
<br /><small>
Aman Shakya, Hideaki Takeda, Vilas Wuwongse, <a href="http://www.springerlink.com/index/lg82m301u7h52r61.pdf">Consolidating User-Defined Concepts with StYLiD</a>, The Semantic Web: 3rd Asian
Semantic Web Conference (ASWC), LNCS 5367:287-301, 2008
</small>
</dd>
<dt>[<a href="http://wsmt.sourceforge.net/">Web Service Modeling Toolkit</a>]</dt>
<dd>The Web Service Modelling Toolkit allows to define and execute
semantic web services in the WSMX framework. For implementing
mediators it uses the OMWG Expressive alignment format which is now
an extension of the Alignment API (see below).
<br /><small>
Mick Kerrigan, Adrian Mocan, Martin Tanler and Dieter
Fensel, <a href="http://www.eswc2007.org/pdf/eswc07-kerrigan.pdf">The Web Service Modeling Toolkit - An Integrated
Development Environment for Semantic Web Services </a>, Proc. 4th ESWC
System description, Innsbruck (AT), LNCS 4519:789-798, 2007
</small>
</dd>
<dt>[<a href="http://sourceforge.net/projects/malasco/">Malasco</a>]</dt>
<dd>A system that automatically partitions ontologies with various
strategies and feed them into a matcher, including one using the
Alignment API.
<br /><small>
Heiko Paulheim, <a href="http://ceur-ws.org/Vol-431/om2008_poster1.pdf">On
applying matching tools to large-scale ontologies</a>, Proc. 3rd
Ontology matching workshop, Karlsruhe (DE), pp214-218, 2008
</small>
</dd>
<!--dt>[<a href="https://gforge.inria.fr/projects/ontosim/</a>]</dt>
<dd>A Java package for computing similarity between ontologies.
<br /><small></small-->
</dd>
<dt>[<a href="http://VisOn.gforge.inria.fr">VisOn</a>]</dt>
<dd>The VisOn ontology visualizer now works with any implementation of
the API. It provides the opportunity to load and display
ontologies, load, run, display and compare alignment algorithms.</dd>
<dt>[<a href="http://www.dei.isep.ipp.pt/~pmaio/goals/">Goals</a>]</dt>
<dd>The Goals system is a framework for matching ontology and
combining matchers. As such, it embeds the Alignment API for
integrating new matchers and for using its formats and evaluators.</dd>
<dt>[<a href=""></a>Knowfuss]</dt><dd>
Knowfuss is a linked data generation system that takes advantage
of alignments provided in input in the Alignment format.
<br /><small>
Andryi Nikolov, Victoria Uren, Enrico Motta, Anne de Roeck, KnoFuss: A
comprehensive architecture for knowledge fusion, Proc. 4th
international conference on Knowledge capture(K-CAP), Whistler
(CA), pp185-186, 2007
</small>
</dd>
</dl></p>
<h2>Systems implementing the Alignment API</h2>
<p>These systems offer the interface of the API and can take place in
any system using the API. We do not know any other implementation
of the API but ours. (OMWG may be?).</p>
<h2>Systems extending the Alignment API</h2>
<p>These systems usually implement some matching algorithm on top of
the API implementation (and benefit from all implemented
services).</p>
<dl>
<dt>[<a href="http://ola.gforge.inria.fr">OLA</a>]</dt>
<dd>A matching algorithm for OWL-Lite that measures distance between
all ontology components and perform an iterative fixpoint search.
<br /><small>
Jean-François Djoufak-Kengue, Jérôme Euzenat, Petko Valtchev, <a href="http://ceur-ws.org/Vol-304/paper16.pdf">OLA in the OAEI 2007 evaluation contest</a>, in: Pavel Shvaiko, Jérôme Euzenat, Fausto Giunchiglia, Bin He (eds), Proc. 2nd ISWC 2007 workshop on ontology matching (OM), Busan (KR), pp188-195, 2007
</small>
</dd>
<dt>[<a href="http://www.eurecom.fr/~troncy/software.html">oMap</a>]</dt>
<dd>oMap is a tool for combining matchers using fuzzy techniques.
<br /><small>
Umberto Straccia, Raphaël Troncy: oMAP: Combining Classifiers for
Aligning Automatically OWL Ontologies. Proc. WISE, pp133-147, 2005<br />
</small>
</dd>
<dt>[<a href=""></a>DSSim]</dt>
<dd>
DSSim is an ontology matcher based on the Dempster-Shafer theory and
fuzzy voting model for combining the results of several base matchers.
<br /><small>
Miklos Nagy, Maria Vargas-Vera, Enrico Motta, <a href="http://ftp.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-225/paper10.pdf">DSSim-ontology mapping with uncertainty</a>,
Proc. 1st Ontology matching workshop, Athens (GA US), pp115-123, 2006.
</small>
</dd>
<dt>[<a href="http://sourceforge.net/projects/mediation/">OMWG Expressive alignment format</a>]</dt>
<dd>
The OMWG Expressive alignement format is a format designed in the SEKT
and Knowledge web European projects for expressing elaborate correspondencs to
be processed in web service mediation.
<br /><small>
François Scharffe, Jos de
Bruijn, <a href="http://www.u-bourgogne.fr/SITIS/05/download/Proceedings/Files/f142.pdf">A
language to specify mappings between ontologies</a>, Proc. 1st
International Conference on Signal-Image Technology and Internet-Based
Systems, Yaounde (CM), pp267-271, 2005
</small>
</dd>
<dt>[<a href=""></a>Prior]</dt>
<dd>Prior uses the Alignment API to parse ontologies and generate alignments.
<br /><small>
Ming Mao, Yefei
Peng, <a href="http://ceur-ws.org/Vol-304/paper19.pdf">The PRIOR+:
Results for OAEI Campaign 2007</a>, Proc. 2nd Ontology Matching workshop, Busan (KR), pp219-226, 2007
</small>
</dd>
<dt>[<a href=""></a>Cider]</dt>
<dd>
CIDER is prototype matcher developed in Java, extending
the Alignment API. It computes a representation of concepts as a bag
of words obtained from the concepts and its neighborhood. These
representations are compared in a vector space.
<br /><small>
Jorge Gracia, Eduardo Mena, <a href="http://ceur-ws.org/Vol-431/oaei08_paper4.pdf">Ontology Matching with CIDER: Evaluation
Report for the OAEI 2008</a>, Proc. 3rd Ontology Matching worshop,
Karlruhe (DE), pp140-146, 2008
</small>
</dd>
<dt>[<a href="http://aroma.gforge.inria.fr">Aroma</a>]</dt>
<dd>
Aroma is an ontology matchers using the association rule mining from
the data. It is now ported on top of the Alignment API.
<br /><small>
Jérôme David, Fabrice Guillet, Henri Briand, <a href="http://www.igi-pub.com/articles/details.asp?ID=7154">Association rule ontology
matching approach</a>, <i>International Journal on Semantic Web and Information Systems</i> 3(2):27-49, 2007.
</small>
</dd>
<dt>[<a href="http://ontoware.org/projects/mappso/">MapPSO</a>]</dt>
<dd>
MapPSO is a tool for ontology matching which uses discrete Particle
Swarm Optimisation. Revisiting the matching problem as an optimisation
problem, MapPSO uses a particle swarm to search for the optimal
alignment. The algorithm is massively parallel and adapts naturally on
parallel architectures. It is an extension of the Alignment API.
<br /><small>
Jürgen Bock, Jan Hettenhausen,
<a href="http://www.dit.unitn.it/~p2p/OM-2008/oaei08_paper8.pdf">MapPSO results for OAEI 2008</a> (poster),
Proc. 3rd Ontology matching workshop, Karlsruhe (DE), 2008
</small>
</dd>
<dt>[<a href=""></a>SOCOM]</dt>
<dd>
The Alignment API is used in multilingual ontology matching, in which
first one ontology is translated in a common natural language and then
matching algorithms are applied to these translated versions.
<br /><small>
Bo Fu, Rob Brennan, Declan
O'Sullivan, <a href="http://www.springerlink.com/content/06m05447rt1726h4/">Cross-Lingual Ontology Mapping - An Investigation of the Impact of Machine Translation</a>, Proc. 4th Asian Semantic Web Conference (ASWC), Shanghai (CN), LNCS 5926:1-15, 2009
</small>
</dd>
<dt>[<a href=""></a>OMViaUO]</dt>
<dd>
The Alignment API has been extended for experimenting with
context-based matching with upper-level ontologies. Three different
types of matchers have been implemented depending on their use of
upper level ontologies. They have been compared with three such
ontologies (SUMO, DOLCE and OpenCyc).
<br /><small>
Viviana Mascardi, Angela Locoro, Paolo
Rosso, <a href="http://www.disi.unige.it/person/MascardiV/Download/TKDE-maggio-2009.pdf">Automatic ontology matching via upper ontologies: a systematic evaluation</a>, <i>IEEE Transactions on knowledge and data engineering</i>, 22(5):609-623, 2010
</small>
</dd>
<dt>[<a href="http://wiki.knoesis.org/index.php/BLOOMS">Blooms</a>]</dt>
<dd>
The Blooms approach for matching ontologies from linked open data
sources extends the Alignment API. Not only it is implemented on topof the API but it also uses some methods for generating obvious
matches and applying thresholds.
<br /><small>
Prateek Jain, Pascal Hitzler, Amit Shet, Kunal Verma, Peter
Yeh, <a href="http://knoesis.wright.edu/faculty/pascal/resources/publications/BLOOMS.pdf">Ontology alignment for linked open data</a>, submitted 2010.
</small>
</dd>
</dl>
</p>
<h2>Systems outputing the Alignment format</h2>
<p>These systems are able to generate alignments in the Alignment
format that the Alignment API can handle. This is in fact the case
of most of the system participating
to <a href="http://oaei.ontologymatching.org">OAEI</a> since the
evaluation is made from this format.
<dl>
<!--dt>[<a href=""></a>]</dt>
<dd>
<br /><small>
, <a href=""></a>,
</small>
</dd-->
<dt>[<a href="http://lsdis.cs.uga.edu/projects/sensormap/index.php?page=5">Optima</a>]</dt>
<dd>
Optima is an alignment editor and matching tool which can output, and
hopefully read, the Alignment format.
<br /><small>
Ravikanth Kolli, Prashant Doshi, <a href="http://www.cs.uga.edu/%7Ekolli/Optima_paper.pdf">Optima: Tool for ontology alignment with application to semantic reconciliation of sensor metadata for publication in sensormap</a>, Proc. IEEE International Conference on Semantic Computing, Santa-Clara (CA US), pp484-485, 2008 (demo paper)
</small>
</dd>
<dt>[<a href="http://sourceforge.net/projects/onagui/">OnAGUI</a>]</dt>
<dd>
OnAGUI is a graphic user interface for creating and visualising
alignments. It offers the opportunity to run matchers and to load and save
alignments under the Alignment API.
<br /><small>
Laurent Mazuel, Jean Charlet, <a href="http://ic2009.inria.fr/docs/posters/MazuelCharlet_Poster_IC2009.pdf">SPIM-AlignmentGUI - un
logiciel d'aide à la réalisation d'alignements entre
ontologies</a>, Proc. IC Poster session, Hammamet (TN), 2009
</small>
</dd>
<dt>[<a href="http://www.aifb.uni-karlsruhe.de/WBS/meh/foam/">FOAM</a>]</dt>
<dd>
FOAM is a framework for matching OWL ontologies offering various
parameters. It is able to output the Alignment format.
<br /><small>
Marc Ehrig, York
Sure, <a href="http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-156/paper11.pdf">FOAM - Framework for Ontology Alignment and Mapping</a>, Proc. 1st Ontology matching
workshop, Athens (GA US), pp72-76, 2005
</small>
</dd>
<dt>[<a href="http://iws.seu.edu.cn/projects/matching/">Falcon-AO</a>]</dt>
<dd>
Falcon-AO is an automatic ontology matching system based on both
terminological and structural methods. It also features a partitioning
algorithm for matching large ontologies.
<br /><small>
Wei Hu, Yuzhong Qu, <a href="http://portal.acm.org/citation.cfm?id=1412999">Falcon-AO: A practical ontology matching
system</a>, Journal of web semantics 6(3):237-239, 2008
</small>
</dd>
<dt>[<a href="http://www.aktors.org/crosi/deliverables/downloads/">CMS</a>]</dt>
<dd>
The Crosi Mapping System is a framework for expressing and solvingmatching problems. It integrates the Alignment API as an external
matcher. It is also able to generate the Alignment format.
<br /><small>
Yannis Kalfoglou, Bo Hu, Dave Reynolds, Nigel Shadbolt, <a href="http://eprints.ecs.soton.ac.uk/11717/">Crosi
project, final report</a>, School of Electronics and Computer
Science, University of Southhampton, Tech. Rep., 2005
</small>
</dd>
<dt>[<a href=""></a>MDSS]</dt>
<dd>
MDSS is a framework for the integration of matching
tools. It uses the Alignment format for representing alignments and
exchanging between tools.
<br /><small>
Gabriele Marcelli, Tania Di Mascio, Fulvio
D'Antonio, <a href="http://ftp.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-201/27.pdf">MDSS: A framework for the integration of ontology mapping tools</a>, Proc. 3rd Italian Semantic Web Workshop, Pisa (IT), 2006
</small>
</dd>
<!--dt>[<a href=""></a>]</dt>
<dd>
<br /><small>
, <a href=""></a>,
</small>
</dd-->
<dt>[<a href=""></a>Lucene Ontology Matcher]</dt>
<dd>
The Lucene ontology matcher uses the Lucene search engine for
matching ontologies. It generates alignments in the Alignment format
and uses the evaluation facilities of the Alignment API.
<br /><small>
Giuseppe Pirro,
Domenico Talia, <a href="http://www2.computer.org/portal/web/csdl/doi/10.1109/DEXA.2007.29">Towards a Scalable and Collaborative Information Integration Platform and Methodology</a>, Proc. 18th International Conference on Database and Expert Systems Applications (DEXA 2007), pp407-411, 2007
</small>
</dd>
<dt>[noname]</dt>
<dd>
The authors developed a mapping platform made of a server and a client
allowing to match ontologies and to store the result a server. The
client allow to edit alignments and export them on the Alignment format.
<br /><small>
Felix van de Maele, Alicía Díaz, <a href="http://www.emn.fr/x-info/emoose/alumni/thesis/fvandemaele.pdf">Towards a Scalable and
Collaborative Information Integration Platform and
Methodology</a>, Proc. OTM, Monterrey (MX), LNCS 5333:220-229, 2008
</small>
</dd>
<dt>[<a href="http://www.cs.vu.nl/STITCH/repository/">Repository for vocabularies and alignments</a>]</dt>
<dd>
The STITCH project provides a repository of SKOS vocabularies and
alignment accessible through web services. For that purpose they took
inspiration of the Alignment format (that they call the OAEI format)
that they took as their data model and they use the Alignment format
as their external representation.
<br /><small>
Lourens van der Meij, Antoine Isaac, and Claus Zinn, <a href="">A
Web-Based Repository Service for Vocabularies and
Alignments in the Cultural Heritage Domain</a>, Proc. 7th European
Semantic Web Conference, Hersonissos (GR), LNCS 6088:394-409, 2010.
</small>
</dd>
<dt>[<a href="http://www4.wiwiss.fu-berlin.de/bizer/silk/">Silk 2</a>]</dt>
<dd>
The Silk is a framework for automatically generating links for linked
datasets. Since version 2, it is able to export links in the
Alignment format (that they also call the OAEI format... this is
certainly our mistake ;-).
<!--br /><small>Certainly submitted to ISWC-2010.
</small-->
</dd>
</dl>
</p>
<h2>Experiments using the Alignment API</h2>
<p>
These experiments that have used the Alignment API, for instance
for evaluation of alignments but do not provide a system per se.
<dl>
<dt>[<a href="http://oaei.ontologymatching.org">OAEI</a>]</dt>
<dd>
The Ontology Alignment Evaluation Initiative organises evaluation of
ontology matchers based on measuring the alignments returned by
matchers. The matchers are required to return the Alignment format and
evaluation is performed by evaluators from the Alignment API.
<br /><small>
Caterina Caracciolo, Jérôme Euzenat, Laura Hollink, Ryutaro Ichise, Antoine Isaac, Véronique Malaisé, Christian Meilicke, Juan Pane, Pavel Shvaiko, Heiner Stuckenschmidt, Ondrej Sváb-Zamazal, Vojtech Svátek,
<a href="http://ceur-ws.org/Vol-431/oaei08_paper0.pdf">Results of the Ontology Alignment Evaluation Initiative
2008</a>, Proc. 3rd Ontology matching workshop, Karlsruhe (DE),
pp73-119, 2008
</small>
</dd>
<dt>[<a href="http://nb.vse.cz/~svatek/ontofarm.html">OntoFarm</a>]</dt>
<dd>
OntoFarm is a collection of ontologies about the same topic:
conference organisation. The collection has been used in the OAEI
evaluations and further exploited for refining and analysing
alignments between ontologies. The alignments are manipulated through
the Alignment API.
<br /><small>
Ondrej Sváb, Vojtech Svátek, Heiner Stuckenschmidt, <a href="http://nb.vse.cz/~svatek/eswc07su.pdf">A Study in
Empirical and 'Casuistic' Analysis of Ontology Mapping Results</a>, Proc. 4th ESWC, LNCS 4519:655-669,
2007
</small>
</dd>
<dt>[<a href="http://www.modelcvs.org/">ModelCVS</a>]</dt>
<dd>
The ModelCVS project aims at providing a network of software models and
alignments between these that can be used for model-driven
operations. It uses the Alignment format and API for manipulating alignments.
<br /><small>
Gerti Kappel, Horst Kargl, Gerhart Kramler, Andrea Schauerhuber, Martina Seidl, Michael Strommer, Manuel Wimmer, <a href="http://dbs.cs.uni-duesseldorf.de/BTW2007/KappelKargl-et-al.pdf">Matching Metamodels with Semantic Systems - An Experience Report</a>, In Workshop Proc. of Datenbanksysteme in Business, Technologie und Web
(BTW'07), pp38-52, Germany, 2007
</small>
</dd>
<dt>[noname<a href=""></a>]</dt>
<dd>
The alignment API has been used for negotiation of mappings between agents.
<br /><small>
Cassia Trojahn, Marcia Moraes, Paulo Quaresma, Renata
Vieira, <a href="http://portal.acm.org/citation.cfm?id=1194659">A
negotiation model for ontology mapping</a>, Proc. IEEE/WIC/ACM
international conference on Intelligent Agent Technology, pp762-768, 2006
</small>
</dd>
<dt>[<a href="http://www.few.vu.nl/~andreas/projects/dam2/"></a>DAM]</dt>
<dd>
DAM is a hybrid terminological/structural matcher that extract thebest match beween concepts seeded by terminological measures based on the Alignment
API.
<br /><small>
Andrea Heβ, <a href="http://www.andreas-hess.info/publications/hess-eswc06.pdf">An Iterative Algorithm for Ontology Mapping Capable
of Using Training Data</a>, Proc. 3rd ESWC, LNCS 4011:19-33, 2006
</small>
</dd>
<dt>[<a href=""></a>noname]</dt>
<dd>
The Alignment API has been used for comparing modularisation
strategies in the context of alignment negotiation for agents.
<br /><small>
Paul Doran, Valentinna Tamma, Terry Payne, Ignazio
Palmisano, <a href="http://eprints.ecs.soton.ac.uk/17241/1/Doran-CRC.pdf">Dynamic selection of ontological alignments: a
space resolution problem</a>, Proc. 21st IJCAI, Pasadena (CA US), pp2028-2033, 2009
</small>
</dd>
</dl>
<h2>Miscellaneous</h2>
<dl>
<dt>[<a href="http://www.ifi.uzh.ch/ddis/research/semweb/simpack/">SimPack</a>]</dt>
<dd>
Apparently, SimPack takes advantage of the few StringDistances that
are provided with the Alignment API (they could now directly use
<a href="http://ontosim.gforge.inria.fr">OntoSim</a> instead.
<br /><small>
Patrick Ziegler, Christoph Kiefer, Christoph Sturm, Klaus Dittrich, Abraham Bernstein, <a href="http://www.ifi.uzh.ch/ddis/fileadmin/user_upload/kiefer/publications/ziegler06detecting.pdf">Detecting Similarities in Ontologies
with the SOQA-SimPack Toolkit</a>, Proc 10th International
Conference on Extending Database Technology (EDBT), Munich (DE),
pp-59-76, 2006 </a>,
</small>
</dd>
</dl>
<!-- ISI cite:
Record 2 of 10
Author(s): Van de Maele, F (Van de Maele, Felix); Diaz, A (Diaz, Alicia)
Editor(s): Meersman, R; Tari, Z; Herrero, P
Title: Towards a Scalable and Collaborative Information Integration Platform and Methodology
Source: ON THE MOVE TO MEANINGFUL INTERNET SYSTEMS: OTM 2008 WORKSHOPS, 5333: 220-229 2008
Book series title: LECTURE NOTES IN COMPUTER SCIENCE
Conference Title: On the Move Confederated International Conference and Workshops
Conference Date: NOV 09-14, 2008
Conference Location: Monterrey, MEXICO
Abstract: The quality and scalability problems in information integration are still not sufficiently solved by current integration approaches. In this paper, we propose an integration approach that adopts a uniform, context-aware, and collaborative methodology enabling efficient reuse to come to a scalable integration platform. We present a two-step methodology that splits up the traditional process of information integration into two separated phases. In the first phase, the Mapping phase, heterogeneous models are matched and mappings are created between the corresponding entities. We further introduce a community and contextual dimension for each mapping. In the second phase, the Commitment phase, a final, application-specific alignment is created in a certain integration format. We argue that this methodology enables a more scalable. efficient and collaborative integration process. We have developed a platform which is based on this methodology and have also done a preliminary evaluation by going through a real use case.
ISSN: 0302-9743
ISBN: 978-3-540-88874-1
Record 3 of 10
Author(s): Garcia, JM (Garcia, Jose Maria); Ruiz, D (Ruiz, David); Ruiz-Cortes, A (Ruiz-Cortes, Antonio); Parejo, JA (Parejo, Jose Antonio)
Book Group Author(s): IEEE Computer Soc
Title: QoS-Aware Semantic Service Selection: An Optimization Problem
Source: IEEE CONGRESS ON SERVICES 2008, PT I, PROCEEDINGS: 384-388 2008
Conference Title: IEEE Congress on Services
Conference Date: JUL 06-11, 2008
Conference Location: Honolulu, HI
Abstract: In order to select the best suited service among a set of discovered services, with respect to QOS parameters, a user have to state his or her preferences, so services can be ranked according to these QOS parameters. Current Semantic Web Services ontologies do not support the definition of QOS-aware user preferences, though there are some proposals that extend those ontologies to allow selection based on those preferences. However, their selection algorithms are very coupled with user preferences descriptions, which are defined without semantics or at a different semantic level than service functionality. In this work, we present a service selection framework that transforms user preferences into an optimization problem where the best service is selected. This framework is based on an ontology that conceptualizes these user preferences. Thus, we use a very expressive solution decoupled with the concrete selection technique by using XSL transformations, while describing QOS-aware user preferences at the same semantic level of functional preferences.
ISBN: 978-0-7695-3286-8
Record 4 of 10
Author(s): Kargl, H (Kargl, Horst); Wimmer, M (Wimmer, Manuel)
Editor(s): Xhafa, F; Barolli, L
Title: SmartMatcher - How examples and a dedicated mapping language can improve the quality of automatic matching approaches
Source: CISIS 2008: THE SECOND INTERNATIONAL CONFERENCE ON COMPLEX, INTELLIGENT AND SOFTWARE INTENSIVE SYSTEMS, PROCEEDINGS: 879-885 2008
Conference Title: 2nd International Conference on Complex, Intelligent and Software Intensive Systems
Conference Date: MAR 04-07, 2008
Conference Location: Catalonia, SPAINConference Host: Polytechn Univ Catalonia
Abstract: Information integration has a long history in computer science. It has started with the integration of database schemas in the early eighties. With the rise of the semantic web and the emerging abundance of ontologies, the need for an automated integration increased further A lot of automated matching approaches and tools have been proposed so far The typical output of such tools is a simple one-to-one alignment mostly, based on schema information, e.g., similar names and structures of schema elements. However these alignments cannot cope with schema heterogeneities, hence, the,,e problems must be resolved manually. Furthermore, then? is no automated evaluation of the quality of the alignments-based on the instance level, because the matching approaches are not bound to a specific integration scenario, e.g., transformation or merge. In this work, we propose the SmartMatching approach, which can be seen as an orthogonal extension to existing matching approaches for increasing the quality of the automatically produced alignments for the transformation scenario. This is achieved by using an executable mapping language for bridging schema heterogeneities and by using instance models to evaluate the quality of the alignments in an iterative and feedback-driven process inspired by machine learning approaches.
ISBN: 978-0-7695-3109-0
Record 5 of 10
Author(s): Vazquez, R (Vazquez, Ruben); Swoboda, N (Swoboda, Nik)
Editor(s): Meersman, R; Tari, Z
Title: Combining the Semantic Web with the Web as background knowledge for Ontology Mapping
Source: ON THE MOVE TO MEANINGFUL INTERNET SYSTEMS 2007: COOPLS, DOA, ODBASE, GADA, AND IS, PT 1, PROCEEDINGS, 49803: 814-831 2007
Book series title: LECTURE NOTES IN COMPUTER SCIENCE
Conference Title: OTM Confederated International Conference and Workshop
Conference Date: NOV 25-30, 2007
Conference Location: Vilamoura, PORTUGAL
Abstract: We combine the Semantic Web with the Web, as background knowledge, to provide a more balanced solution for Ontology Mapping. The Semantic Web can provide mappings that are missed by the Web, which can provide many more, but noisy, mappings. We present a combined technique that is based on variations of existing approaches. Our experimental results in two real-life thesauri are compared with previous work, and they reveal that a combined approach to Ontology Mapping can provide more balanced results in terms of precision, recall and confidence measure of mappings. We also discover that a reduced set of 3 appropriate Hearst patterns can eliminate noise in the list of discovered mappings, and thus techniques based exclusively in the Web can be improved. Finally, we also identify open questions derived from building a combined approach.
ISSN: 0302-9743
ISBN: 978-3-540-76846-3
Record 6 of 10
Author(s): Rezgui, Y (Rezgui, Yacine)
Title: Text-based domain ontology building using Tf-Idf and metric clusters techniques
Source: KNOWLEDGE ENGINEERING REVIEW, 22 (4): 379-403 DEC 2007
Abstract: The paper describes the methodology used to develop a construction domain ontology, taking into account the wealth of existing semantic resources in the sector ranging from dictionaries to thesauri. Given the characteristics and settings of the construction industry, a modular, architecture-centric approach was adopted to structure and develop the ontology. The paper argues that taxonomies provide an ideal backbone for any ontology project. Therefore, a construction industry standard taxonomy was used to provide the seeds of the ontology, enriched and expanded with additional concepts extracted from large discipline-oriented document bases using information retrieval (IR) techniques.
ISSN: 0269-8889
DOI: 10.1017/S0269888907001130
Record 7 of 10
Author(s): Champin, PA (Champin, Pierre-Antoine); Houben, GJ (Houben, Geert-Jan); Thiran, P (Thiran, Philippe)
Editor(s): Parent, C; Schewe, KD; Storey, VC; Thalheim, B
Title: Cross: An OWL wrapper for reasoning on relational databases
Source: CONCEPTUAL MODELING - ER 2007, PROCEEDINGS, 4801: 502-517 2007
Book series title: LECTURE NOTES IN COMPUTER SCIENCE
Conference Title: 26th International Conference on Conceptual Modeling
Conference Date: NOV 05-09, 2007
Conference Location: Auckland, NEW ZEALAND
Abstract: One of the challenges of the Semantic Web is to integrate the huge amount of information already available on the standard Web, usually stored in relational databases. In this paper, we propose a formalization of a logic model of relational databases, and a transformation of that model into OWL, a Semantic Web language. This transformation is implemented in Cross, as an open-source prototype. We prove a relation between the notion of legal database state and the consistency of the corresponding OWL knowledge base. We then show how that transformation can prove useful to enhance databases, and integrate them in the Semantic Web.
ISSN: 0302-9743
ISBN: 978-3-540-75562-3
Record 8 of 10
Author(s): Sanchez-Alberca, A (Sanchez-Alberca, Alfredo); Garcia-Garcia, R (Garcia-Garcia, Raul); Sorzano, COS (Sorzano, Carlos Oscar S.); Gutierrez-Cossio, C (Gutierrez-Cossio, Celia); Chagoyen, M (Chagoyen, Monica); Lopez, MF (Lopez, Mariano Fernandez)
Editor(s): Bento, C; Cardoso, A; Dias, G
Title: AMON: A software system for automatic generation of ontology mappings
Source: 2005 Portuguese Conference on Artificial Intelligence, Proceedings: 120-127 2005
Conference Title: Portuguese Conference on Artificial Intelligence
Conference Date: 2005
Conference Location: Covilha, PORTUGAL
Conference Host: Univ Beira Interior
Abstract: Some of the most outstanding problems in Computer Science (e.g. access to heterogeneous information sources, use of different e-commerce standards, ontology translation, etc.) are often approached through the identification of ontology mappings. A manual mapping generation slows down, or even makes unfeasible, the solution of particular cases of the aforementioned problems via ontology mappings. Some algorithms and formal models for partial tasks of automatic generation of mappings have been proposed. However, an integrated system to solve this problem is still missing. In this paper, we present AMON, a platform for automatic ontology mapping generation. First of all, we show the general structure. Then, we describe the current version of the system, including the ontology in which it is based, the similarity measures that it uses, the access to external sources, etc.
ISBN: 978-0-7803-9365-3
Record 9 of 10
Author(s): Zhang, SM (Zhang, Songmao); Mork, P (Mork, Peter); Bodenreider, O (Bodenreider, Olivier); Bernstein, PA (Bernstein, Philip A.)
Title: Comparing two approaches for aligning representations of anatomy
Source: ARTIFICIAL INTELLIGENCE IN MEDICINE, 39 (3): 227-236 MAR 2007
Conference Title: 1st International Workshop on Formal Biomedical Knowledge Representation (KR-MED 2004)
Conference Date: JUN 01, 2004
Conference Location: Whistler, CANADA
Abstract: Objective: To analyze the comparison, through their results, of two distinct approaches applied to aligning two representations of anatomy.
Materials: Both approaches use a combination of lexical and structural techniques. In addition, the first approach takes advantage of domain knowledge, while the second approach treats alignment as a special case of schema matching. The same versions of FMA and GALEN were aligned by each approach. Two thousand one hundred and ninety-nine concept matches were obtained by both approaches.
Methods and results: For matches identified by one approach only (337 and 336, respectively), we analyzed the reasons that caused the other approach to fail.
Conclusions: The first approach could be improved by addressing partial lexical matches and identifying matches based solely on structural similarity. The second approach may be improved by taking into account synonyms in FMA and identifying semantic mismatches. However, only 33% of the possible one-to-one matches among anatomical concepts were identified by the two approaches together. New directions need to be explored in order to handle more complex matches. (c) 2007 Elsevier B.V. All rights reserved.
ISSN: 0933-3657
DOI: 10.1016/j.artmed.2006.12.002
Record 10 of 10
Author(s): Pulido, JRG (Pulido, J. R. G.); Ruiz, MAG (Ruiz, M. A. G.); Herrera, R (Herrera, R.); Cabello, E (Cabello, E.); Legrand, S (Legrand, S.); Elliman, D (Elliman, D.)
Title: Ontology languages for the semantic web: A never completely updated review
Source: KNOWLEDGE-BASED SYSTEMS, 19 (7): 489-497 NOV 2006
Abstract: This paper gives a never completely account of approaches that have been used for the research community for representing knowledge. After underlining the importance of a layered approach and the use of standards, it starts with early efforts used for artificial intelligence researchers. Then recent approaches, aimed mainly at the semantic web, are described. Coding examples from the literature are presented in both sections. Finally, the semantic web ontology creation process, as we envision it, is introduced. (c) 2006 Elsevier B.V. All rights reserved.
ISSN: 0950-7051
DOI: 10.1016/j.knosys.2006.04.013
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