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@CONFERENCE{Durco2011,
  author = {Matej \v{D}ur\v{c}o and Leif-J\"{o}ran Olsson},
  title = {{CMDRSB} - {CLARIN Metadata Repository/Service/Browser}},
  booktitle = {Presentation at CMDI Workshop, Nijmegen},
  year = {2011},
  address = {Nijmegen},
  month = {01},
  organization = {MPI for Psycholinguistics},
  file = {:C\:\\Users\\m\\3lingua\\clarin\\CMDI\\MDService\\CMDRSB_20110123.pdf:PDF},
  owner = {m},
  timestamp = {2011.10.12}
}

@ARTICLE{Algergawy2010,
  author = {Alsayed Algergawy and Richi Nayak and Gunter Saake},
  title = {Element similarity measures in \{XML\} schema matching},
  journal = {Information Sciences},
  year = {2010},
  volume = {180},
  pages = {4975 - 4998},
  number = {24},
  abstract = {Schema matching plays a central role in a myriad of XML-based applications.
	There has been a growing need for developing high-performance matching
	systems in order to identify and discover semantic correspondences
	across XML data. XML schema matching methods face several challenges
	in the form of definition, adoption, utilization, and combination
	of element similarity measures. In this paper, we classify, review,
	and experimentally compare major methods of element similarity measures
	and their combinations. We aim at presenting a unified view which
	is useful when developing a new element similarity measure, when
	implementing an XML schema matching component, when using an XML
	schema matching system, and when comparing XML schema matching systems.},
  doi = {http://dx.doi.org/10.1016/j.ins.2010.08.022},
  file = {Algergawy2010-S0020025510003956-main.pdf:semweb\\Algergawy2010-S0020025510003956-main.pdf:PDF},
  issn = {0020-0255},
  keywords = {\{XML\}},
  owner = {m},
  timestamp = {2013.10.03},
  url = {http://www.sciencedirect.com/science/article/pii/S0020025510003956}
}

@INPROCEEDINGS{amrouch2012survey,
  author = {Amrouch, Siham and Mostefai, Sihem},
  title = {Survey on the literature of ontology mapping, alignment and merging},
  booktitle = {Information Technology and e-Services (ICITeS), 2012 International
	Conference on},
  year = {2012},
  pages = {1--5},
  organization = {IEEE},
  abstract = {Ontology Mapping, Alignment and Merging are a
	
	prominent field of research for the AI community. Indeed, an
	
	ontology is designed and developed to be shared among multiple
	
	applications and working communities. In other words, several
	
	ontologies need to be accessed by different information systems.
	
	The Mapping, Alignment or Merging of ontologies build a metalayer
	
	that allows different applications to access the resulting
	
	ontology and then to share their informations, of course, whith
	
	preserving the semantics they contain. This later is done after
	
	solving the different forms of heterogeneity presented by the
	
	input ontologies. A key challenge is then raised by the
	
	researchers in AI community to exploit the potential of these
	
	ontological operations in several applications domain such as
	
	semantic query processing, data integration, data warehousing,
	
	E-Buziness and E-Commerce, etc.
	
	The aim of this paper is to provide the reader, who is not very
	
	familiar with the ontology domain, an introduction to the three
	
	main operations performed on ontologies. These operations
	
	provide a prominent basis for several other operations such as
	
	translation, reconciliation, coordination and negotiation between
	
	ontologies. This prominent basis is supported by the mapping
	
	discovery results between input ontologies. Design and develop
	
	such operations on ontologies, was the focus of several research
	
	communities for several years. In this paper, we have surveyed
	
	the literature of the different methods and tools for ontology
	
	mapping, alignment and merging and described the different
	
	approaches adopted by their designers after detailing the most
	
	important module (mappings discovery) and discussed the
	
	different heterogeneity forms resolved by their algorithms.},
  file = {amrouch2012survey_06216651.pdf:semweb\\amrouch2012survey_06216651.pdf:PDF},
  owner = {m},
  timestamp = {2013.10.03}
}

@INPROCEEDINGS{Broeder+2010,
  author = {Daan Broeder and Marc Kemps-Snijders and others},
  title = {A Data Category Registry- and Component-based Metadata Framework},
  booktitle = {LREC 2010},
  year = {2010},
  address = {Valletta},
  month = {May},
  publisher = {ELRA},
  abstract = {We describe our computer-supported framework to overcome the rule
	of metadataschism. It combines the use of controlled vocabularies,managed
	by a data category registry, with a component-based approach, where
	thecategories can be combined to yield complex metadatastructures.
	A metadata scheme devised in this way will thus be grounded in itsuse
	of categories. Schema designers will profit fromexisting prefabricated
	larger building blocks, motivating re-use at a largerscale. The common
	base of any two metadata schemes withinthis framework will solve,
	at least to a good extent, the semanticinteroperability problem,
	and consequently, further promote systematicuse of metadata for existing
	resources and tools to be shared.},
  date = {19-21},
  file = {Broeder2010_LREC_163_Paper.pdf:lingua\\Broeder2010_LREC_163_Paper.pdf:PDF},
  isbn = {2-9517408-6-7},
  keywords = {CLARIN, LR Infrastructures and Architectures, Metadata, Tools systems
	applications, DCR, CompReg},
  language = {english},
  owner = {m},
  personalnote = {BROEDER10.163},
  timestamp = {2011.03.31},
  url = {www.clarin.eu/system/files/cmdi_isocat_Paper.pdf; http://www.windhouwer.nl/menzo/professional/papers/metaData.pdf}
}

@INPROCEEDINGS{Broeder+2011,
  author = {Broeder, Daan and Schonefeld, Oliver and Trippel, Thorsten and Van
	Uytvanck, Dieter and Witt, Andreas},
  title = {{A pragmatic approach to XML interoperability - the Component Metadata
	Infrastructure (CMDI)}},
  booktitle = {Balisage: The Markup Conference 2011},
  year = {2011},
  volume = {7},
  note = {citeulike:9861691},
  citeulike-article-id = {9861691},
  journal = {Balisage Series on Markup Technologies},
  owner = {m},
  posted-at = {2011-10-07 11:11:32},
  priority = {2},
  timestamp = {2011.10.12}
}

@MISC{Cyganiak2010,
  author = {Richard Cyganiak and Anja Jentzsch},
  title = {The Linking Open Data cloud diagram},
  howpublished = {online},
  month = {09},
  year = {2010},
  abstract = {his web page is the home of the LOD cloud diagram. This image shows
	datasets that have been published in Linked Data format, by contributors
	to the Linking Open Data community project and other individuals
	and organisations. It is based on metadata collected and curated
	by contributors to the CKAN directory. Clicking the image will take
	you to an image map, where each dataset is a hyperlink to its homepage.},
  affiliation = {{DERI, NUI Galway}, {Freie Universit�t Berlin}},
  file = {Cyganiak2010_lod-datasets_2010-09-22_colored.png:semweb\\Cyganiak2010_lod-datasets_2010-09-22_colored.png:PNG image},
  keywords = {Linked Data},
  owner = {m},
  timestamp = {2011.03.25},
  url = {http://richard.cyganiak.de/2007/10/lod/}
}

@BOOK{Ehrig2006,
  title = {Ontology Alignment: Bridging the Semantic Gap (Semantic Web and Beyond)},
  publisher = {Springer},
  year = {2006},
  author = {Ehrig, Marc},
  note = {PhD thesis},
  abstract = {A large number of information systems use many different individual
	schemas to represent data. Semantically linking these schemas is
	a necessary precondition to establish interoperability between agents
	and services. Consequently, ontology alignment and mapping for data
	integration has become central to building a world-wide semantic
	web.
	
	
	Ontology Alignment: Bridging the Semantic Gap introduces novel methods
	and approaches for semantic integration. In addition to developing
	new methods for ontology alignment, the author provides extensive
	explanations of up-to-date case studies. The topic of this book,
	coupled with the application-focused methodology, will appeal to
	professionals from a number of different domains.
	
	
	Designed for practitioners and researchers in industry, Ontology Alignment:
	Bridging the Semantic Web Gap is also suitable for advanced-level
	students in computer science and electrical engineering.},
  abstractnote = {: Bridging the Semantic Gap (Semantic Web and Beyond). Purchase this
	Book. Source, Medium: Hardcover. Year of Publication: 2006. ISBN:038732805X.
	Author, Marc Ehrig, Publisher, Springer-Verlag New York, Inc. Secaucus,
	NJ, USA.},
  googlecitationcount = {83},
  journal = {portalacmorg},
  keywords = {Bridging, Data Integration, Machine Learning, Ontology Alignment,
	Peer-to-peer, Semantic Web , Artificial Intelligence, Business Information
	Systems, Database Management & Information Retrieval},
  owner = {m},
  timestamp = {2013.10.08},
  url = {http://portal.acm.org/citation.cfm?id=1177317&dl=#url.coll;http://www.springer.com/computer/database+management+%26+information+retrieval/book/978-0-387-32805-8?cm_mmc=Google-_-Book%20Search-_-Springer-_-0; http://books.google.com/books?id=nxzBZonEF50C&lpg=PR15&ots=3bXsk5yi4Q&dq=Ehrig%202007&lr&pg=PR15#v=onepage&q&f=false}
}

@INCOLLECTION{ehrig2004qom,
  author = {Ehrig, Marc and Staab, Steffen},
  title = {QOM--quick ontology mapping},
  booktitle = {The Semantic Web--ISWC 2004},
  publisher = {Springer},
  year = {2004},
  pages = {683--697},
  file = {ehrig2004qom.pdf:semweb\\ehrig2004qom.pdf:PDF},
  owner = {m},
  timestamp = {2013.10.03}
}

@INCOLLECTION{EhrigSure2004,
  author = {Ehrig, Marc and Sure, York},
  title = {Ontology Mapping -- An Integrated Approach},
  booktitle = {The Semantic Web: Research and Applications},
  publisher = {Springer Berlin / Heidelberg},
  year = {2004},
  editor = {Bussler, Christoph and Davies, John and Fensel, Dieter and Studer,
	Rudi},
  volume = {3053},
  series = {Lecture Notes in Computer Science},
  pages = {76-91},
  note = {10.1007/978-3-540-25956-5\_6},
  abstract = {Ontology mapping is important when working with more than one ontology.
	Typically similarity considerations are the basis for this. In this
	paper an approach to integrate various similarity methods is presented.
	In brief, we determine similarity through rules which have been encoded
	by ontology experts. These rules are then combined for one overall
	result. Several boosting small actions are added. All this is thoroughly
	evaluated with very promising results.},
  affiliation = {Institute AIFB, University of Karlsruhe},
  cites = {Noy2003, Do2002},
  citeseercitationcount = {68},
  citeseerurl = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.10.4772},
  doi = {http://dx.doi.org/10.1007/978-3-540-25956-5\_6},
  file = {EhrigSure2004_10.1.1.10.4772.pdf:semweb\\EhrigSure2004_10.1.1.10.4772.pdf:PDF},
  googlecitationcount = {348},
  owner = {m},
  timestamp = {2011.04.13},
  url = {http://www.springerlink.com/index/T3M6YJDEB99FT7AK.pdf; http://www.springerlink.com/content/t3m6yjdeb99ft7ak/}
}

@INPROCEEDINGS{Gavrilidou2012meta,
  author = {Gavrilidou, Maria and Labropoulou, Penny and others},
  title = {The {META-SHARE} Metadata Schema for the Description of Language
	Resources},
  booktitle = {LREC 2012},
  year = {2012},
  address = {Istanbul},
  month = {May},
  publisher = {ELRA},
  date = {23-25},
  isbn = {978-2-9517408-7-7},
  language = {english},
  owner = {m},
  timestamp = {2013.06.19}
}

@INPROCEEDINGS{hinrichs-hinrichs-zastrow:2010:Demos,
  author = {Hinrichs, Erhard and Hinrichs, Marie and Zastrow, Thomas},
  title = {WebLicht: Web-Based LRT Services for German},
  booktitle = {Proceedings of the ACL 2010 System Demonstrations},
  year = {2010},
  pages = {25--29},
  address = {Uppsala, Sweden},
  month = {July},
  publisher = {Association for Computational Linguistics},
  url = {http://www.aclweb.org/anthology/P10-4005}
}

@STANDARD{ISO12620:2009,
  title = {Specification of data categories and management of a Data Category
	Registry for language resources},
  organization = {ISO},
  author = {{ISO 12620}},
  type = {International Standard},
  number = {12620},
  address = {Geneva, Switzerland},
  year = {2009},
  url = {http://www.iso.org/iso/iso_catalogue/catalogue_tc/catalogue_detail.htm?csnumber=37243},
  abstract = {ISO 12620:2009 provides guidelines concerning constraints related
	to the implementation of a Data Category Registry (DCR) applicable
	to all types of language resources, for example, terminological,
	lexicographical, corpus-based, machine translation, etc. It specifies
	mechanisms for creating, selecting and maintaining data categories,
	as well as an interchange format for representing them.},
  owner = {m},
  publisher = {ISO},
  timestamp = {2011.04.12}
}

@ARTICLE{Kalfoglou2003,
  author = {Kalfoglou, Yannis and Schorlemmer, Marco},
  title = {{Ontology mapping: the state of the art}},
  journal = {The Knowledge Engineering Review},
  year = {2003},
  volume = {18},
  pages = {1--31},
  number = {1},
  month = jan,
  abstract = {Ontology mapping is seen as a solution provider in today's landscape
	of ontology research. As the number of ontologies that are made publicly
	available and accessible on the Web increases steadily, so does the
	need for applications to use them. A single ontology is no longer
	enough to support the tasks envisaged by a distributed environment
	like the Semantic Web. Multiple ontologies need to be accessed from
	several applications. Mapping could provide a common layer from which
	several ontologies could be accessed and hence could exchange information
	in semantically sound manners. Developing such mappings has been
	the focus of a variety of works originating from diverse communities
	over a number of years. In this article we comprehensively review
	and present these works. We also provide insights on the pragmatics
	of ontology mapping and elaborate on a theoretical approach for defining
	ontology mapping.},
  citeseerurl = {http://citeseer.ist.psu.edu/viewdoc/summary?doi=10.1.1.57.9148},
  comment = {orig-bibtex: CambridgeJournals:183299},
  doi = {10.1017/S0269888903000651, 10.1.1.85.1117},
  file = {Kalfoglou2003_OntoMap_10.1.1.85.1117.pdf:semweb\\Kalfoglou2003_OntoMap_10.1.1.85.1117.pdf:PDF},
  issn = {02698889},
  keywords = {integration,ontologies,ontology,ontology alignment,ontology mapping,ontology
	merging},
  owner = {m},
  timestamp = {2011.03.25},
  url = {http://www.journals.cambridge.org/abstract\_S0269888903000651}
}

@INPROCEEDINGS{Kemps-Snijders+2009,
  author = {Marc Kemps-Snijders and Menzo Windhouwer and Peter Wittenburg},
  title = {ISOcat: Remodeling metadata for language resources},
  booktitle = {International Journal of Metadata, Semantics and Ontologies (IJMSO)},
  year = {2009},
  volume = {4 (4)},
  pages = {261--276},
  date-added = {2011-05-18 13:28:45 +0200},
  date-modified = {2011-05-18 13:29:52 +0200},
  owner = {m},
  timestamp = {2011.10.12}
}

@INPROCEEDINGS{Kemps-Snijders+2008,
  author = {Marc Kemps-Snijders and Menzo Windhouwer and Sue Ellen Wright},
  title = {Putting data categories in their semantic context},
  booktitle = {Proceedings of the IEEE e-Humanities Workshop (e-Humanities)},
  year = {2008},
  address = {Indianapolis, Indiana, USA},
  month = {December},
  date-added = {2011-05-18 13:28:45 +0200},
  date-modified = {2011-05-18 13:29:52 +0200},
  file = {Kemps-Snijders2008_e-Humanities-ISOcat-final.pdf:lingua\\Kemps-Snijders2008_e-Humanities-ISOcat-final.pdf:PDF},
  owner = {m},
  timestamp = {2011.10.12},
  url = {http://www.isocat.org/files/publications.html}
}

@INPROCEEDINGS{Noy2005_ontologyalignment,
  author = {Natasha Noy and Heiner Stuckenschmidt},
  title = {Ontology alignment: An annotated bibliography},
  booktitle = {Semantic Interoperability and Integration - Schloss Dagstuhl},
  year = {2005},
  abstract = {Ontology mapping, alignment, and translation has been an active research
	component of the general research on semantic integration and interoperability.
	In our talk, we gave our own classification of different topics in
	this research. We talked about types of heterogeneity between ontologies,
	various mapping representations, classified methods for discovering
	methods both between ontology concepts and data, and talked about
	various tasks where mappings are used. In this extended abstract
	of our talk, we provide an annotated bibliography for this area of
	research, giving readers brief pointers on representative papers
	in each of the topics mentioned above. We did not attempt to compile
	a comprehensive bibliography and hence the list in this abstract
	is necessarily incomplete. Rather, we tried to sketch a map of the
	field, with some specific reference to help interested readers in
	their exploration of the work to-date. 1 Survey Articles For more
	detailed descriptions and bibliography of the field we refer the
	readers to several recently published surveys:},
  cites = {Rahm2001, Euzenat2007, Kalfoglou2003, Noy2004},
  citeseercitationcount = {16},
  citeseerurl = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.93.2574},
  file = {Noy2005_ontologyalignment_04391.StuckenschmidtHeiner1.Paper.48.pdf:semweb\\Noy2005_ontologyalignment_04391.StuckenschmidtHeiner1.Paper.48.pdf:PDF},
  keywords = {ontology alignment, overview},
  owner = {m},
  timestamp = {2011.04.10},
  url = {http://drops.dagstuhl.de/opus/volltexte/2005/48/pdf/04391.StuckenschmidtHeiner1.Paper.48.pdf}
}

@ARTICLE{Noy2004_semanticintegration,
  author = {Natalya F. Noy},
  title = {Semantic Integration: A Survey Of Ontology-Based Approaches},
  journal = {SIGMOD Record},
  year = {2004},
  volume = {33},
  pages = {2004},
  abstract = {Semantic integration is an active area of research in several disciplines,
	such as databases, information-integration, and ontologies. This
	paper provides a brief survey of the approaches to semantic integration
	developed by researchers in the ontology community. We focus on the
	approaches that differentiate the ontology research from other related
	areas. The goal of the paper is to provide a reader who may not be
	very familiar with ontology research with introduction to major themes
	in this research and with pointers to different research projects.
	We discuss techniques for finding correspondences between ontologies,
	declarative ways of representing these correspondences, and use of
	these correspondences in various semantic-integration tasks.},
  cites = {Kalfoglou2003},
  citeseercitationcount = {133},
  citeseerurl = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.133.1384},
  file = {Noy2004_semanticintegration.pdf:semweb\\Noy2004_semanticintegration.pdf:PDF},
  keywords = {ontologies, overview},
  owner = {m},
  timestamp = {2011.04.10},
  url = {http://www.cs.uoregon.edu/classes/08W/cis607sii/papers/noy2004.pdf}
}

@INPROCEEDINGS{Piperidis2012meta,
  author = {Piperidis, Stelios},
  title = {The meta-share language resources sharing infrastructure: Principles,
	challenges, solutions},
  booktitle = {Proceedings of LREC 2012},
  year = {2012},
  pages = {36--42},
  owner = {m},
  timestamp = {2013.06.19}
}

@TECHREPORT{DCMI:2005,
  author = {Powell, A. and Nilsson, M. and Naeve, A. and Johnston, P.},
  title = {{DCMI Abstract Model}},
  year = {2005},
  month = mar,
  abstract = {{This document specifies an abstract model for DCMI metadata [DCMI].
	The primary purpose of this document is to provide a reference model
	against which particular DC encoding guidelines can be compared.
	To function well, a reference model needs to be independent of any
	particular encoding syntax. Such a reference model allows us to gain
	a better understanding of the kinds of descriptions that we are trying
	to encode and facilitates the development of better mappings and
	translations between different syntaxes.
	
	This document is primarily aimed at the developers of software applications
	that support Dublin Core metadata, people involved in developing
	new syntax encoding guidelines for Dublin Core metadata and those
	people developing metadata application profiles based on the Dublin
	Core.}},
  citeulike-article-id = {796966},
  citeulike-linkout-0 = {http://dublincore.org/documents/abstract-model/},
  day = {7},
  keywords = {dublin\_core, dublincore\_application\_profile},
  organization = {Dublin Core Metadata Initiative},
  owner = {m},
  posted-at = {2006-08-11 08:09:55},
  priority = {4},
  timestamp = {2011.10.12},
  url = {http://dublincore.org/documents/abstract-model/}
}

@ARTICLE{Rahm2001_survey,
  author = {Erhard Rahm and Philip A. Bernstein},
  title = {A Survey of Approaches to Automatic Schema Matching},
  journal = {VLDB JOURNAL},
  year = {2001},
  volume = {10},
  pages = {2001},
  abstract = {Schema matching is a basic problem in many database application domains,
	such as data integration, E-business, data warehousing, and semantic
	query processing. In current implementations, schema matching is
	typically performed manually, which has significant limitations.
	On the other hand, previous research papers have proposed many techniques
	to achieve a partial automation of the match operation for specific
	application domains. We present a taxonomy that covers many of these
	existing approaches, and we describe the approaches in some detail.
	In particular, we distinguish between schema-level and instance-level,
	element-level and structure-level, and language-based and constraint-based
	matchers. Based on our classification we review some previous match
	implementations thereby indicating which part of the solution space
	they cover. We intend our taxonomy and review of past work to be
	useful when comparing different approaches to schema matching, when
	developing a new match algorithm, and when implementing a schema
	matching component.},
  citeseercitationcount = {701},
  citeseerurl = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.16.700},
  file = {Rahm2001_survey_VLDBJ-Dec2001.pdf:semweb\\Rahm2001_survey_VLDBJ-Dec2001.pdf:PDF},
  keywords = {overview, schema matching},
  owner = {m},
  timestamp = {2011.04.10},
  url = {http://dbs.uni-leipzig.de/file/VLDBJ-Dec2001.pdf}
}

@INPROCEEDINGS{SchuurmanWindhouwer2011,
  author = {Ineke Schuurman and Menzo Windhouwer},
  title = {Explicit Semantics for Enriched Documents. What Do ISOcat, RELcat
	and SCHEMAcat Have To Offer?},
  booktitle = {2nd Supporting Digital Humanities conference (SDH 2011), 17-18 November
	2011, Copenhagen, Denmark},
  year = {2011},
  address = {Copenhagen, Denmark},
  owner = {m},
  timestamp = {2011.10.12}
}

@INCOLLECTION{Shvaiko2008,
  author = {Shvaiko, Pavel and Euzenat, J\'{e}r\^{o}me},
  title = {Ten Challenges for Ontology Matching},
  booktitle = {On the Move to Meaningful Internet Systems: OTM 2008},
  publisher = {Springer Berlin / Heidelberg},
  year = {2008},
  editor = {Meersman, Robert and Tari, Zahir},
  volume = {5332},
  series = {Lecture Notes in Computer Science},
  pages = {1164-1182},
  note = {10.1007/978-3-540-88873-4\_18},
  abstract = {This paper aims at analyzing the key trends and challenges of the
	ontology matching field. The main motivation behind this work is
	the fact that despite many component matching solutions that have
	been developed so far, there is no integrated solution that is a
	clear success, which is robust enough to be the basis for future
	development, and which is usable by non expert users. In this paper
	we first provide the basics of ontology matching with the help of
	examples. Then, we present general trends of the field and discuss
	ten challenges for ontology matching, thereby aiming to direct research
	into the critical path and to facilitate progress of the field.},
  affiliation = {TasLab, Informatica Trentina S.p.A. Trento Italy},
  file = {Shvaiko2008.pdf:semweb\\Shvaiko2008.pdf:PDF},
  keywords = {ontology matching},
  owner = {m},
  timestamp = {2011.04.10},
  url = {http://dx.doi.org/10.1007/978-3-540-88873-4\_18}
}

@TECHREPORT{Shvaiko2005,
  author = {Pavel Shvaiko and Jerome Euzenat},
  title = {A classification of schema-based matching approaches},
  year = {2005},
  abstract = {Schema/ontology matching is a critical problem in many application
	domains, such as, semantic web, schema/ontology integration, data
	warehouses, e-commerce, catalog matching, etc. Many diverse solutions
	to the matching problem have been proposed so far. In this paper
	we present a taxonomy of schema-based matching techniques that builds
	on the previous work on classifying schema matching approaches. Some
	innovations are in introducing new criteria which distinguish between
	matching techniques relying on diverse semantic clues. In particular,
	we distinguish between heuristic and formal techniques at schemalevel;
	and implicit and explicit techniques at element- and structure-level.
	Based on the classification proposed we overview some of the recent
	schema/ontology matching systems pointing which part of the solution
	space they cover.},
  cites = {Kalfoglou2003, Euzenat2007},
  citeseercitationcount = {135},
  citeseerurl = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.102.3578},
  file = {Shvaiko2005_classification_087.pdf:semweb\\Shvaiko2005_classification_087.pdf:PDF},
  journal = {JOURNAL ON DATA SEMANTICS},
  keywords = {Schema-based Ontology-mapping, classification},
  owner = {m},
  pages = {146--171},
  timestamp = {2011.04.10},
  volume = {4}
}

@TECHREPORT{Shvaiko2005_classification,
  author = {Pavel Shvaiko and Jerome Euzenat},
  title = {A survey of schema-based matching approaches},
  year = {2005},
  abstract = {Schema/ontology matching is a critical problem in many application
	domains, such as, semantic web, schema/ontology integration, data
	warehouses, e-commerce, catalog matching, etc. Many diverse solutions
	to the matching problem have been proposed so far. In this paper
	we present a taxonomy of schema-based matching techniques that builds
	on the previous work on classifying schema matching approaches. Some
	innovations are in introducing new criteria which distinguish between
	matching techniques relying on diverse semantic clues. In particular,
	we distinguish between heuristic and formal techniques at schemalevel;
	and implicit and explicit techniques at element- and structure-level.
	Based on the classification proposed we overview some of the recent
	schema/ontology matching systems pointing which part of the solution
	space they cover.},
  cites = {Kalfoglou2003, Euzenat2007},
  citeseercitationcount = {135},
  citeseerurl = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.102.3578},
  file = {Shvaiko2005_classification_087.pdf:semweb\\Shvaiko2005_classification_087.pdf:PDF;Shvaiko2005_classification_087_.pdf:semweb\\Shvaiko2005_classification_087_.pdf:PDF},
  journal = {JOURNAL ON DATA SEMANTICS},
  keywords = {Schema-based Ontology-mapping, classification},
  owner = {m},
  pages = {146--171},
  timestamp = {2011.04.10},
  volume = {4}
}

@ARTICLE{shvaiko2012ontology,
  author = {Shvaiko, Pavel and Euzenat, J{\'e}r{\^o}me},
  title = {Ontology matching: state of the art and future challenges},
  year = {2012},
  owner = {m},
  publisher = {IEEE},
  timestamp = {2013.10.03}
}

@INPROCEEDINGS{VanUytvanck2010,
  author = {Dieter Van Uytvanck and Claus Zinn and others},
  title = {Virtual Language Observatory: The Portal to the Language Resources
	and Technology Universe},
  booktitle = {LREC},
  year = {2010},
  editor = {Nicoletta Calzolari and Khalid Choukri and others},
  address = {Valletta},
  month = {May},
  publisher = {ELRA},
  abstract = {Over the years, the field of Language Resources and Technology (LRT)
	hasdeveloped a tremendous amount of resources and tools. However,
	there is noready-to-use map that researchers could use to gain a
	good overview andsteadfast orientation when searching for, say corpora
	or software tools tosupport their studies. It is rather the case
	that information is scatteredacross project- or organisation-specific
	sites, which makes it hard if notimpossible for less-experienced
	researchers to gather all relevant material.Clearly, the provision
	of metadata is central to resource and softwareexploration. However,
	in the LRT field, metadata comes in many forms, tastesand qualities,
	and therefore substantial harmonization and curation efforts arerequired
	to provide researchers with metadata-based guidance. To address thisissue
	a broad alliance of LRT providers (CLARIN, the Linguist List, DOBES,DELAMAN,
	DFKI, ELRA) have initiated the Virtual Language Observatory portal
	toprovide a low-barrier, easy-to-follow entry point to language resources
	andtools; it can be accessed via http://www.clarin.eu/vlo},
  date = {19-21},
  file = {VanUytvanck2010_LREC_273_Paper.pdf:lingua\\VanUytvanck2010_LREC_273_Paper.pdf:PDF},
  isbn = {2-9517408-6-7},
  keywords = {CLARIN, VLO, LR Infrastructures and Architectures, Metadata, Tools
	systems applications},
  language = {english},
  owner = {m},
  personalnote = {orig_key: VANUYTVANCK10.273},
  timestamp = {2011.03.31}
}

@INPROCEEDINGS{Varadi2008,
  author = {Tam\'{a}s V\'{a}radi and Steven Krauwer and others},
  title = {{CLARIN: Common Language Resources and Technology Infrastructure}},
  booktitle = {Proceedings of the Sixth International Conference on Language Resources
	and Evaluation (LREC)},
  year = {2008},
  editor = {Nicoletta Calzolari and Khalid Choukri and others},
  address = {Marrakech},
  month = {May},
  publisher = {ELRA},
  abstract = {The paper provides a general introduction to the CLARIN project, a
	large-scale European research infrastructure project designed to
	establish an integrated and interoperable infrastructure of language
	resources and technologies. The goal is to make language resources
	and technology much more accessible to all researchers working with
	language material, particularly non-expert users in the Humanities
	and Social Sciences. CLARIN intends to build a virtual, distributed
	infrastructure consisting of a federation of trusted digital archives
	and repositories where language resources and tools are accessible
	through web services. The CLARIN project consists of 32 partners
	from 22 countries and is currently engaged in the preparatory phase
	of developing the infrastructure. The paper describes the objectives
	of the project in terms of its technical, legal, linguistic and user
	dimensions.},
  affiliation = {Hungarian Academy of Sciences (Budapest), MPI for Psycholinguistics
	(Nijmegen), Utrecht University (Utrecht),
	
	Oxford Text Archive (Oxford), University of Helsinki (Helsinki)},
  date = {28-30},
  file = {Varadi2008_CLARIN_LREC_317_paper.pdf:lingua\\Varadi2008_CLARIN_LREC_317_paper.pdf:PDF;Varadi2008_CLARIN_LREC_pras_317.ppt:lingua\\Varadi2008_CLARIN_LREC_pras_317.ppt:PowerPoint},
  googlecitationcount = {10},
  isbn = {2-9517408-4-0},
  keywords = {CLARIN, LR Infrastructures and Architectures},
  language = {english},
  owner = {m},
  timestamp = {2011.04.01},
  url = {http://www.lrec-conf.org/proceedings/lrec2008/summaries/317.html}
}

@INPROCEEDINGS{WINDHOUWER12.954,
  author = {Menzo Windhouwer},
  title = {{RELcat}: a Relation Registry for ISOcat data categories},
  booktitle = {LREC},
  year = {2012},
  editor = {Nicoletta Calzolari and Khalid Choukri and others},
  address = {Istanbul},
  month = {May},
  publisher = {ELRA},
  date = {23-25},
  isbn = {978-2-9517408-7-7},
  language = {english}
}

@CONFERENCE{Windhouwer2011,
  author = {Menzo Windhouwer},
  title = {RELcat and friends},
  booktitle = {Presentation at CLARIN-NL ISOcat workshop},
  year = {2011},
  address = {Nijmegen},
  month = {05},
  organization = {MPI for Psycholinguistics},
  file = {:C\:\\Users\\m\\3lingua\\clarin\\CMDI\\DCR-RR\\ISOcat-RELcat-and-friends.pptx:PowerPoint},
  owner = {m},
  timestamp = {2011.10.12}
}

@INPROCEEDINGS{Windhouwer+2012,
  author = {Windhouwer, Menzo and Wright, Sue Ellen},
  title = {Linking to linguistic data categories in ISOcat},
  booktitle = {Linked Data in Linguistics},
  year = {2012},
  pages = {99--107},
  address = {Frankfurt, Germany},
  month = {March},
  publisher = {Springer}
}

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