Alignment API: Systems using the Alignment API
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.
This list is obviously incomplete. Most of the systems have at least a
published reference. They are not necessarily independent from our work.
Systems embedding the Alignment API
These systems can use any implementation of the API and thus take
advantage of all matching system extending the API.
- [NeOn toolkit]
-
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.
- [ContentMap]
-
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.
Ernesto Jimenez Ruiz, Bernardo Cuenca Grau, Ian Horrocks and Rafael
Berlanga, Ontology Integration Using Mappings: Towards Getting the
Right Logical Consequences, Proc. 6th ESWC, Heraklion (GR), LNCS 5554:173-187, 2009
- [Cupboard]
-
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.
Mathieu d'Aquin, Holger Lewen, Cupboard - A Place to Expose your Ontologies to Applications and
the Community, Proc. 6th ESWC demo paper, Heraklion (GR), LNCS 5554:907-910, 2009
- [WebContent platform]
-
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.
- [OWL Ontology Aligner]
- A server built around the API for processing, editing and
rendering alignments (University of Innsbruck).
Anna Zhdanova, Pavel Shvaiko, Community-Driven Ontology
Matching, Proc. 3rd ESWC, LNCS 4011:34-39, 2006
- [StYLiD]
-
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.
Aman Shakya, Hideaki Takeda, Vilas Wuwongse, Consolidating User-Defined Concepts with StYLiD, The Semantic Web: 3rd Asian
Semantic Web Conference (ASWC), LNCS 5367:287-301, 2008
- [Web Service Modeling Toolkit]
- 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).
Mick Kerrigan, Adrian Mocan, Martin Tanler and Dieter
Fensel, The Web Service Modeling Toolkit - An Integrated
Development Environment for Semantic Web Services , Proc. 4th ESWC
System description, Innsbruck (AT), LNCS 4519:789-798, 2007
- [Malasco]
- A system that automatically partitions ontologies with various
strategies and feed them into a matcher, including one using the
Alignment API.
Heiko Paulheim, On
applying matching tools to large-scale ontologies, Proc. 3rd
Ontology matching workshop, Karlsruhe (DE), pp214-218, 2008
- [VisOn]
- 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.
- [Goals]
- 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.
- [Knowfuss]
-
Knowfuss is a linked data generation system that takes advantage
of alignments provided in input in the Alignment format.
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
- [SmartMatcher]
-
SmartMatcher is a system that take advantage of a corpus of matched
instances and external matchers to decide which correspondences are
the most accurate (by using them to transform data and compare the
result to the corpus). It uses the Alignment API for representing
alignments.
Horst Kargl, Manuel Wimmer, SmartMatcher -How Examples and a Dedicated
Mapping Language can Improve the Quality of Automatic Matching
Approaches, Proc. International Conference on Complex, Intelligent and
Software Intensive Systems (CISIS), pp.879-885, 2008
- [ATOPAI]
-
ATOPAI (Alignment and annotation Tool framewOrk for Plug and plAy
Interoperability) is a graphical interface on top of the Alignment API for
matching ontologies, manipulating alignments and extracting patterns
from the Alignments.
Charbel El Kaed, Yves Denneulin, François Ottogalli, On the Fly Proxy Generation for Home Devices
Interoperability, Proc. 12th IEEE International Conference on
Mobile Data Management (Industrial Track), Lulea (SW), pp299-302, 2011
- [ITM]
-
The ITM terminology management tool developed and commercialised by
Mondeca embeds a version of the Alignment API together of a version of
Aroma parameterised for SKOS thesauri matching.
- [OntoMediate/Mediation toolkit]
-
OntoMediate is an environment for collaborative ontology matching.
The Mediation toolkit is a lightweight toolkit to implement ontological mediation over RDF. It uses ontology alignments in order to rewrite SPARQL SELECT queries and to generate SPARQL CONSTRUCT queries to import an external data set.
Gianlucca Correndo, Manuel Salvadores, Ian Millard, Hugh Glaser, Nigel Shadbolt, SPARQL Query rewriting for implementing data integration over linked data, Proc. 1st International Workshop on Data Semantics (DataSem), Lousanne (CH), 2010
- [NONAME]
-
This system experimented context-based matching and user feed-back
using the Alignment API for managing alignments.
Thiago Pachêco, Andrade Pereira, Carlos Eduardo Pires, Ana Carolina Salgado, Exploring web semantic knowledge and user feedback to improve ontology matching, Proc. 10th DEXA International Workshop on Web Semantics (WebS), Toulouse (FR), pp234-238, 2011 http://doi.ieeecomputersociety.org/10.1109/DEXA.2011.31
- [CLONTY]
-
The CLONTY-FR system is an infrastructure for involving users to
collaboratively improve alignments. It uses the alignment API as his
common format..
Systems implementing the Alignment API
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..
Systems extending the Alignment API
These systems usually implement some matching algorithm on top of
the API implementation (and benefit from all implemented
services).
- [OLA]
- A matching algorithm for OWL-Lite that measures distance between
all ontology components and perform an iterative fixpoint search.
Jean-François Djoufak-Kengue, Jérôme Euzenat, Petko Valtchev, OLA in the OAEI 2007 evaluation contest, in: Pavel Shvaiko, Jérôme Euzenat, Fausto Giunchiglia, Bin He (eds), Proc. 2nd ISWC 2007 workshop on ontology matching (OM), Busan (KR), pp188-195, 2007
- [oMap]
- oMap is a tool for combining matchers using fuzzy techniques.
Umberto Straccia, Raphaël Troncy: oMAP: Combining Classifiers for
Aligning Automatically OWL Ontologies. Proc. WISE, pp133-147, 2005
- [DSSim]
-
DSSim is an ontology matcher based on the Dempster-Shafer theory and
fuzzy voting model for combining the results of several base matchers.
Miklos Nagy, Maria Vargas-Vera, Enrico Motta, DSSim-ontology mapping with uncertainty,
Proc. 1st Ontology matching workshop, Athens (GA US), pp115-123, 2006.
- [OMWG Expressive alignment format]
-
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.
François Scharffe, Jos de
Bruijn, A
language to specify mappings between ontologies, Proc. 1st
International Conference on Signal-Image Technology and Internet-Based
Systems, Yaounde (CM), pp267-271, 2005
- [Prior]
-
Prior uses the Alignment API to parse ontologies and generate alignments.
Ming Mao, Yefei
Peng, The PRIOR+:
Results for OAEI Campaign 2007, Proc. 2nd Ontology Matching workshop, Busan (KR), pp219-226, 2007
- [Cider]
-
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.
Jorge Gracia, Eduardo Mena, Ontology Matching with CIDER: Evaluation
Report for the OAEI 2008, Proc. 3rd Ontology Matching worshop,
Karlruhe (DE), pp140-146, 2008
- [Aroma]
-
Aroma is an ontology matchers using the association rule mining from
the data. It is now ported on top of the Alignment API.
Jérôme David, Fabrice Guillet, Henri Briand, Association rule ontology
matching approach, International Journal on Semantic Web and Information Systems 3(2):27-49, 2007.
- [MapPSO]
-
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.
Jürgen Bock, Jan Hettenhausen,
MapPSO results for OAEI 2008 (poster),
Proc. 3rd Ontology matching workshop, Karlsruhe (DE), 2008
- [SOCOM]
-
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.
Bo Fu, Rob Brennan, Declan
O'Sullivan, Cross-Lingual Ontology Mapping - An Investigation of the Impact of Machine Translation, Proc. 4th Asian Semantic Web Conference (ASWC), Shanghai (CN), LNCS 5926:1-15, 2009
- [OMViaUO]
-
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).
Viviana Mascardi, Angela Locoro, Paolo
Rosso, Automatic ontology matching via upper ontologies: a systematic evaluation, IEEE Transactions on knowledge and data engineering, 22(5):609-623, 2010
- [Blooms]
-
The Blooms approach for matching ontologies from linked open data
sources extends the Alignment API. Not only it is implemented on top
of the API but it also uses some methods for generating obvious
matches and applying thresholds.
Prateek Jain, Pascal Hitzler, Amit Shet, Kunal Verma, Peter
Yeh, Ontology
alignment for linked open data, Proc 9th ISWC, Shanghai (CN), LNCS 6496:401-416, 2010.
Systems outputing the Alignment format
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 OAEI since the
evaluation is made from this format.
- [Optima]
-
Optima is an alignment editor and matching tool which can output, and
hopefully read, the Alignment format.
Ravikanth Kolli, Prashant Doshi, Optima: Tool for ontology alignment with application to semantic reconciliation of sensor metadata for publication in sensormap, Proc. IEEE International Conference on Semantic Computing, Santa-Clara (CA US), pp484-485, 2008 (demo paper)
- [OnAGUI]
-
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.
Laurent Mazuel, Jean Charlet, SPIM-AlignmentGUI - un
logiciel d'aide à la réalisation d'alignements entre
ontologies, Proc. IC Poster session, Hammamet (TN), 2009
- [FOAM]
-
FOAM is a framework for matching OWL ontologies offering various
parameters. It is able to output the Alignment format.
Marc Ehrig, York
Sure, FOAM - Framework for Ontology Alignment and Mapping, Proc. 1st Ontology matching
workshop, Athens (GA US), pp72-76, 2005
- [Falcon-AO]
-
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.
Wei Hu, Yuzhong Qu, Falcon-AO: A practical ontology matching
system, Journal of web semantics 6(3):237-239, 2008
- [CMS]
-
The Crosi Mapping System is a framework for expressing and solving
matching problems. It integrates the Alignment API as an external
matcher. It is also able to generate the Alignment format.
Yannis Kalfoglou, Bo Hu, Dave Reynolds, Nigel Shadbolt, Crosi
project, final report, School of Electronics and Computer
Science, University of Southhampton, Tech. Rep., 2005
- [MDSS]
-
MDSS is a framework for the integration of matching
tools. It uses the Alignment format for representing alignments and
exchanging between tools.
Gabriele Marcelli, Tania Di Mascio, Fulvio
D'Antonio, MDSS: A framework for the integration of ontology mapping tools, Proc. 3rd Italian Semantic Web Workshop, Pisa (IT), 2006
- [Lucene Ontology Matcher]
-
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.
Giuseppe Pirro,
Domenico Talia, Towards a Scalable and Collaborative Information Integration Platform and Methodology, Proc. 18th International Conference on Database and Expert Systems Applications (DEXA 2007), pp407-411, 2007
- [noname]
-
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.
Felix van de Maele, Alicía Díaz, Towards a Scalable and
Collaborative Information Integration Platform and
Methodology, Proc. OTM, Monterrey (MX), LNCS 5333:220-229, 2008
- [Repository for vocabularies and alignments]
-
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.
Lourens van der Meij, Antoine Isaac, and Claus Zinn, A
Web-Based Repository Service for Vocabularies and
Alignments in the Cultural Heritage Domain, Proc. 7th European
Semantic Web Conference, Hersonissos (GR), LNCS 6088:394-409, 2010.
- [Silk 2]
-
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 ;-).
- [Alcomo]
-
Alcomo (Applying logical constraints on matching ontologies) is a
system that takes an alignment as input and delivers a consistent and
coherent alignment as output.
Christian Meilicke, Alignment incoherence in
ontology matching, PhD thesis, University of Mannheim,
Mannheim (DE), 2011
Experiments using the Alignment API
These experiments that have used the Alignment API, for instance
for evaluation of alignments but do not provide a system per se.
- [OAEI]
-
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.
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,
Results of the Ontology Alignment Evaluation Initiative
2008, Proc. 3rd Ontology matching workshop, Karlsruhe (DE),
pp73-119, 2008
- [OntoFarm]
-
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.
Ondrej Sváb, Vojtech Svátek, Heiner Stuckenschmidt, A Study in
Empirical and 'Casuistic' Analysis of Ontology Mapping Results, Proc. 4th ESWC, LNCS 4519:655-669,
2007
- [ModelCVS]
-
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.
Gerti Kappel, Horst Kargl, Gerhart Kramler, Andrea Schauerhuber, Martina Seidl, Michael Strommer, Manuel Wimmer, Matching Metamodels with Semantic Systems - An Experience Report, In Workshop Proc. of Datenbanksysteme in Business, Technologie und Web
(BTW'07), pp38-52, Germany, 2007
- [noname]
-
The alignment API has been used for negotiation of mappings between agents.
Cassia Trojahn, Marcia Moraes, Paulo Quaresma, Renata
Vieira, A
negotiation model for ontology mapping, Proc. IEEE/WIC/ACM
international conference on Intelligent Agent Technology, pp762-768, 2006
- [DAM]
-
DAM is a hybrid terminological/structural matcher that extract the
best match beween concepts seeded by terminological measures based on the Alignment
API.
Andrea Heβ, An Iterative Algorithm for Ontology Mapping Capable of Using Training Data, Proc. 3rd ESWC, LNCS 4011:19-33, 2006
- [noname]
-
The Alignment API has been used for comparing modularisation
strategies in the context of alignment negotiation for agents.
Paul Doran, Valentinna Tamma, Terry Payne, Ignazio
Palmisano, Dynamic selection of ontological alignments: a
space resolution problem, Proc. 21st IJCAI, Pasadena (CA US), pp2028-2033, 2009
- [noname]
-
The Alignment API has been used for generating alignments in
peer-to-peer systems experiments to evaluate the fiability of correspondences.
Philippe Cudre-Mauroux, Karl Aberer, Andras Feher,
Probabilistic Message Passing in Peer Data Management Systems,
Proc. 22nd International Conference on Data Engineering (ICDE),
Atlanta (GA US) paper 41, 2006
- [noname]
-
The Alignment API has been used matching classes in Java code to be migrated.
Davide Ancona, Viviana Mascardi, Ombretta Pavarino. Ontology-based
documentation extraction for semi-automatic migration of Java
code, Proc. ACM Symposium on Applied Computing (SAC), 2012
Miscellaneous
- [SimPack]
-
Apparently, SimPack takes advantage of the few StringDistances that
are provided with the Alignment API (they could now directly use
OntoSim instead).
Patrick Ziegler, Christoph Kiefer, Christoph Sturm, Klaus Dittrich, Abraham Bernstein, Detecting Similarities in Ontologies
with the SOQA-SimPack Toolkit, Proc 10th International
Conference on Extending Database Technology (EDBT), Munich (DE),
pp-59-76, 2006 ,
More on Google scholar
and our own publications about the Alignment API and server.
http://alignapi.gforge.inria.fr/impl.html
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