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			@InProceedings{easyViz,
			Title = {User-Friendly Ontology Editing and Visualization Tools: The OWLeasyViz Approach},
			Author = {N. Catenazzi and L. Sommaruga and R. Mazza},
			Booktitle = {2009 13th International Conference Information Visualisation},
			Year = {2009},
			Month = {July},
			Pages = {283-288},

			Doi = {10.1109/IV.2009.34},
			ISSN = {1550-6037},
			Keywords = {data visualisation;ontologies (artificial intelligence);search engines;semantic Web;user interfaces;OWLeasyViz ontology editor;Swiss Government;graphical representation;inference rule editor;ontology experts;ontology visualization tools;resource editor;search engine;semantic Web;textual representation;user-friendly ontology editing;waste water management;Data visualization;Displays;Government;Multimedia systems;OWL;Ontologies;Resource description framework;Search engines;Semantic Web;Tree graphs;ontology editing;ontology visualization;semantic web framework}
			}

			@Article{SurveyOntoMap,
			Title = {A Survey on Ontology Mapping},
			Author = {Choi, Namyoun and Song, Il-Yeol and Han, Hyoil},
			Journal = {SIGMOD Rec.},
			Year = {2006},

			Month = sep,
			Number = {3},
			Pages = {34--41},
			Volume = {35},

			Acmid = {1168097},
			Address = {New York, NY, USA},
			Doi = {10.1145/1168092.1168097},
			ISSN = {0163-5808},
			Issue_date = {September 2006},
			Numpages = {8},
			Publisher = {ACM},
			Url = {http://doi.acm.org/10.1145/1168092.1168097}
			}

			@Misc{VOWLWeb,
			Title = {VOWL},

			Author = {David Bold, Steffen Lohmann and Stefan Negru},
			HowPublished = {\url{https://protegewiki.stanford.edu/wiki/VOWL}},

			Owner = {gokcan},
			Timestamp = {2018.01.02}
			}

			@Article{API4,
			Title = {The Alignment API 4.0},
			Author = {David, J{\'e}r\^{o}me and Euzenat, J{\'e}r\^{o}me and Scharffe, Fran\c{c}ois and Trojahn dos Santos, C\'{a}ssia},
			Journal = {Semant. web},
			Year = {2011},

			Month = jan,
			Number = {1},
			Pages = {3--10},
			Volume = {2},

			Acmid = {2019474},
			Address = {Amsterdam, The Netherlands, The Netherlands},
			ISSN = {1570-0844},
			Issue_date = {January 2011},
			Keywords = {Alignment API, EDOAL, OntoSim, Ontowrap, alignment evaluation, alignment language, alignment management, ontology alignment, ontology matching},
			Numpages = {8},
			Publisher = {IOS Press},
			Url = {http://dl.acm.org/citation.cfm?id=2019470.2019474}
			}

			@Misc{OLAWeb,
			Title = {OLA (OWL Lite Alignment)},

			Author = {Jérôme Euzenat and Petko Valtchev},
			HowPublished = {\url{http://ola.gforge.inria.fr}},
			Note = {Dernère visite : 23.07.2017},

			Owner = {gokcan},
			Timestamp = {2018.01.01}
			}

			@Article{VizTrouOnto,
			Title = {Creating Visualizations through Ontology Mapping},
			Author = {Falconer, Sean and Ian Bull, R and Grammel, Lars and D. Storey, Margaret-Anne},
			Year = {2009},

			Month = {03},
			Pages = {688-693},

			Booktitle = {Proceedings of the International Conference on Complex, Intelligent and Software Intensive Systems, CISIS 2009},
			Doi = {10.1109/CISIS.2009.40}
			}

			@InBook{InterTech,
			Title = {Interactive Techniques to Support Ontology Matching},
			Author = {Falconer, Sean M.
			and Noy, Natalya F.},
			Editor = {Bellahsene, Zohra
			and Bonifati, Angela
			and Rahm, Erhard},
			Pages = {29--51},
			Publisher = {Springer Berlin Heidelberg},
			Year = {2011},

			Address = {Berlin, Heidelberg},

			Abstract = {There are many automatic approaches for generating matches between ontologies and schemas. However, these techniques are far from perfect and when the use case requires an accurate matching, humans must be involved in the process. Yet, involving the users in creating matchings presents its own problems. Users have trouble understanding the relationships between large ontologies and schemas and their concepts, remembering what they have looked at and executed, understanding output from the automatic algorithm, remembering why they performed an operation, reversing their decisions, and gathering evidence to support their decisions. Recently, researchers have been investigating these issues and developing tools to help users overcome these difficulties. In this chapter, we present some of the latest work related to human-guided ontology matching. Specifically, we discuss the cognitive difficulties users face with creating ontology matchings, the latest visual tools for assisting users with matching tasks, Web 2.0 approaches, common themes, challenges, and the next steps.},
			Booktitle = {Schema Matching and Mapping},
			Doi = {10.1007/978-3-642-16518-4_2},
			ISBN = {978-3-642-16518-4},
			Url = {https://doi.org/10.1007/978-3-642-16518-4_2}
			}

			@Misc{AgreMakerLightWeb,
			Title = {The AgreementMakerLight ontology matching system},

			Author = {D. Faria and al},
			HowPublished = {\url{https://github.com/AgreementMakerLight/AML-Jar}},
			Note = {Dernère visite : 23.07.2017},
			Year = {2013},

			Owner = {gokcan},
			Timestamp = {2018.01.02}
			}

			@InProceedings{AgreementMakerLight,
			Title = {The AgreementMakerLight Ontology Matching System},
			Author = {Faria, Daniel
			and Pesquita, Catia
			and Santos, Emanuel
			and Palmonari, Matteo
			and Cruz, Isabel F.
			and Couto, Francisco M.},
			Booktitle = {On the Move to Meaningful Internet Systems: OTM 2013 Conferences},
			Year = {2013},

			Address = {Berlin, Heidelberg},
			Editor = {Meersman, Robert
			and Panetto, Herv{\'e}
			and Dillon, Tharam
			and Eder, Johann
			and Bellahsene, Zohra
			and Ritter, Norbert
			and De Leenheer, Pieter
			and Dou, Deijing},
			Pages = {527--541},
			Publisher = {Springer Berlin Heidelberg},

			Abstract = {AgreementMaker is one of the leading ontology matching systems, thanks to its combination of a flexible and extensible framework with a comprehensive user interface. In many domains, such as the biomedical, ontologies are becoming increasingly large thus presenting new challenges. We have developed a new core framework, AgreementMakerLight, focused on computational efficiency and designed to handle very large ontologies, while preserving most of the flexibility and extensibility of the original AgreementMaker framework. We evaluated the efficiency of AgreementMakerLight in two OAEI tracks: Anatomy and Large Biomedical Ontologies, obtaining excellent run time results. In addition, for the Anatomy track, AgreementMakerLight is now the best system as measured in terms of F-measure. Also in terms of F-measure, AgreementMakerLight is competitive with the best OAEI performers in two of the three tasks of the Large Biomedical Ontologies track that match whole ontologies.},
			Doi = {10.1007/978-3-642-41030-7_38},
			ISBN = {978-3-642-41030-7}
			}

			@Article{GrubOnto,
			Title = {Toward Principles for the Design of Ontologies Used for Knowledge Sharing},
			Author = {Thomas R. Gruber},
			Journal = {International Journal Human-Computer Studies},
			Year = {1993},

			Month = {November},
			Pages = {907-928},
			Volume = {43},

			Abstract = {Recent work in Artificial Intelligence (AI) is exploring the use of formal ontologies as a way of specifying content-specific agreements for the sharing and reuse of knowledge among software entities. We take an engineering perspective on the development of such ontologies. Formal ontologies are viewed as designed artifacts, formulated for specific purposes and evaluated against objective design criteria. We describe the role of ontologies in supporting knowledge sharing activities, and then present a set of criteria to guide the development of ontologies for these purposes. We show how these criteria are applied in case studies from the design of ontologies for engineering mathematics and bibliographic data. Selected design decisions are discussed, and alternative representation choices are evaluated against the design criteria.},
			Doi = {https://doi.org/10.1006/ijhc.1995.1081}
			}

			@Misc{OWLVizWeb,
			Title = {OWLViz},

			Author = {Matthew Horridge},
			HowPublished = {\url{https://protegewiki.stanford.edu/wiki/OWLViz}},
			Note = {Dernère visite : 23.07.2017},

			Owner = {gokcan},
			Timestamp = {2018.01.02}
			}

			@InProceedings{AlignmentCubes,
			Title = {Alignment Cubes: Towards Interactive Visual Exploration and Evaluation of Multiple Ontology Alignments},
			Author = {Ivanova, Valentina
			and Bach, Benjamin
			and Pietriga, Emmanuel
			and Lambrix, Patrick},
			Booktitle = {The Semantic Web -- ISWC 2017},
			Year = {2017},

			Address = {Cham},
			Editor = {d'Amato, Claudia
			and Fernandez, Miriam
			and Tamma, Valentina
			and Lecue, Freddy
			and Cudr{\'e}-Mauroux, Philippe
			and Sequeda, Juan
			and Lange, Christoph
			and Heflin, Jeff},
			Pages = {400--417},
			Publisher = {Springer International Publishing},

			Abstract = {Ontology alignment is an area of active research where many algorithms and approaches are being developed. Their performance is usually evaluated by comparing the produced alignments to a reference alignment in terms of precision, recall and F-measure. These measures, however, only provide an overall assessment of the quality of the alignments, but do not reveal differences and commonalities between alignments at a finer-grained level such as, e.g., regions or individual mappings. Furthermore, reference alignments are often unavailable, which makes the comparative exploration of alignments at different levels of granularity even more important. Making such comparisons efficient calls for a ``human-in-the-loop'' approach, best supported through interactive visual representations of alignments. Our approach extends a recent tool, Matrix Cubes, used for visualizing dense dynamic networks. We first identify use cases for ontology alignment evaluation that can benefit from interactive visualization, and then detail how our Alignment Cubes support interactive exploration of multiple ontology alignments. We demonstrate the usefulness of Alignment Cubes by describing visual exploration scenarios, showing how Alignment Cubes support common tasks identified in the use cases.},
			ISBN = {978-3-319-68288-4}
			}

			@Proceedings{OLAArt,
			Title = {Ontology alignment with OLA},
			Year = {2004},
			Month = {November},

			Abstract = {Using ontologies is the standard way to achieve interoperability of heteroge-
			neous systems within the Semantic web. However, as the ontologies underlying
			two systems are not necessarily compatible, they may in turn need to be aligned.
			Similarity-based approaches to alignment seems to be both powerful and flexible
			enough to match the expressive power of languages like OWL. We present an align-
			ment tool that follows the similarity-based paradigm, called OLA. OLA relies on
			a universal measure for comparing the entities of two ontologies that combines in
			a homogeneous way the entire amount of knowledge used in entity descriptions.
			The measure is computed by an iterative fixed-point-bound process producing sub-
			sequent approximations of the target solution. The alignments produce by OLA on
			the contest ontology pairs and the way they relate to the expected alignments is
			discussed and some preliminary conclusions about the relevance of the similarity-
			based approach as well as about the experimental settings of the contest are drawn},
			Author = {J�rome Euzenat, David Loup, Mohamed Touzani and Petko Valtchev},
			Journal = {Workshop on Evaluation of Ontology-based tools (EON) ISWC2004},
			Owner = {gokcan},
			Pages = {59-68},
			Timestamp = {2018.01.01}
			}

			@Article{OptimaArt,
			Title = {OPTIMA: Tool for Ontology Alignment with Application to Semantic Reconciliation of Sensor Metadata for Publication in SensorMap},
			Author = {Ravikanth Kolli and Prashant Doshi},
			Journal = {International Conference on Semantic Computing},
			Year = {2008},
			Pages = {484-485},

			Owner = {gokcan},
			Timestamp = {2018.01.01}
			}

			@Article{SamboSessionBased,
			Title = {A Session-based Ontology Alignment Approach enabling User Involvement},
			Author = {Patrick Lambrix and Rajaram Kaliyaperumal},
			Journal = {Semantic Web Journal},
			Year = {2017},
			Number = {2},
			Pages = {225-251},
			Volume = {8},

			Doi = {10.3233/SW-160243}
			}

			@Article{SamboBioMedSys,
			Title = {SAMBO-A System for Aligning and Merging Biomedical Ontologies},
			Author = {Lambrix, Patrick and Tan, He},
			Journal = {Web Semant.},
			Year = {2006},

			Month = sep,
			Number = {3},
			Pages = {196--206},
			Volume = {4},

			Acmid = {1222305},
			Address = {Amsterdam, The Netherlands, The Netherlands},
			Doi = {10.1016/j.websem.2006.05.003},
			ISSN = {1570-8268},
			Issue_date = {September, 2006},
			Keywords = {Alignment, Biomedical informatics, Merging, Ontologies},
			Numpages = {11},
			Publisher = {Elsevier Science Publishers B. V.},
			Url = {http://dx.doi.org/10.1016/j.websem.2006.05.003}
			}

			@Misc{AlVizWeb,
			Title = {AlViz},

			Author = {Monika Lanzenberger},
			HowPublished = {\url{https://sourceforge.net/projects/alviz}},
			Note = {Dernère visite : 23.07.2017},

			Owner = {gokcan},
			Timestamp = {2018.01.02}
			}

			@InProceedings{AlVizArt,
			Title = {AlViz - A Tool for Visual Ontology Alignment},
			Author = {Lanzenberger, Monika and Sampson, Jennifer},
			Booktitle = {Proceedings of the Conference on Information Visualization},
			Year = {2006},

			Address = {Washington, DC, USA},
			Pages = {430--440},
			Publisher = {IEEE Computer Society},
			Series = {IV '06},

			Acmid = {1154712},
			Doi = {10.1109/IV.2006.18},
			ISBN = {0-7695-2602-0},
			Keywords = {Cluster Graph, Multiple View, Ontology, Alignment.},
			Numpages = {11},
			Url = {http://dx.doi.org/10.1109/IV.2006.18}
			}

			@Article{RiMOM,
			Title = {RiMOM: A Dynamic Multistrategy Ontology Alignment Framework},
			Author = {Li, Juanzi and Tang, Jie and Li, Yi and Luo, Qiong},
			Journal = {IEEE Trans. on Knowl. and Data Eng.},
			Year = {2009},

			Month = aug,
			Number = {8},
			Pages = {1218--1232},
			Volume = {21},

			Acmid = {1592319},
			Address = {Piscataway, NJ, USA},
			Doi = {10.1109/TKDE.2008.202},
			ISSN = {1041-4347},
			Issue_date = {August 2009},
			Keywords = {Heterogeneous Databases, Heterogeneous databases, Heterogeneous databases, knowledge and data engineering tools and techniques, ontology languages., Knowledge reuse, Ontology languages, knowledge and data engineering tools and techniques, ontology languages.},
			Numpages = {15},
			Publisher = {IEEE Educational Activities Department},
			Url = {http://dx.doi.org/10.1109/TKDE.2008.202}
			}

			@Article{AgreeMak,
			Title = {Interactive visualization of large ontology matching results},
			Author = {Li, Y and Stroe, C and Cruz, I.F.},
			Year = {2015},

			Month = {01},
			Pages = {37-48},
			Volume = {1456}
			}

			@Article{LiuOzsuOnto,
			Title = {Ontology},
			Author = {Ling Liu and M. Tamer Özsu},
			Journal = {Encyclopedia of Database Systems},
			Year = {2008},

			Owner = {gokcan},
			Timestamp = {2018.01.01}
			}

			@Misc{OnAGUIWeb,
			Title = {OnAGUI},

			Author = {Laurent Mazuel},
			HowPublished = {\url{https://github.com/lmazuel/onagui}},
			Note = {Dernère visite : 23.07.2017},

			Owner = {gokcan},
			Timestamp = {2018.01.02}
			}

			@Article{Snomed,
			Title = {Alignement entre des ontologies de domaine et la Snomed : trois études de cas},
			Author = {Laurent Mazuel and Jean Charlet},
			Journal = {Actes des 20ème Journées Francophones d'Ingénierie des Connaissances},
			Year = {2009},

			Month = {May},
			Pages = {133-144},

			Abstract = {Les exp�riences sur les ontologies montrent de plus en plus clairement qu'elles ne repr�sentent correctement et de fa�on consensuelle que des domaines r�duits. Ainsi, les ontologies de domaines sont d�velopp�es pour des applications particuli�res alors que des ontologies de r�f�rence tendent � �tre utilis�es pour f�d�rer les r�sultats des applications sp�cifiques. Nous pr�sentons dans cet article la construction, l'analyse et la discussion d'un alignement entre trois ontologies de domaine construites � l'INSERM UMR_S 872, �q. 20 (i.e. OntoPneumo, OntoHTA et OntoReaChir) et la classification SNOMED v3.5.},
			Owner = {gokcan},
			Timestamp = {2018.01.01}
			}

			@Article{Spim,
			Title = {SPIM-AlignmentGUI - un logiciel d'aide à la réalisation d'alignements entre ontologies},
			Author = {Laurent Mazuel and Jean Charlet},
			Journal = {Proc. IC Poster session},
			Year = {2009},

			Owner = {gokcan},
			Timestamp = {2018.01.01}
			}

			@Article{LinkedDashbord,
			Title = {Exploring user and system requirements of linked data visualization through a visual dashboard approach Exploring User and System Requirements of Linked Data Visualization through a Visual Dashboard Approach},
			Author = {Mazumdar, Daniela and Mazumdar, Suvodeep and Petrelli, Daniela and Ciravegna, Fabio},
			Year = {2010},

			Month = {11},
			Volume = {5},

			Booktitle = {Semant Web}
			}

			@Article{VizOntoTools,
			Title = {Visualization in Ontology Tools},
			Author = {Monika Lanzenberger, Jennifer Sampson and Markus Rester},
			Journal = {International Conference on Complex, Intelligent and Software Intensive Systems},
			Year = {2009},

			Abstract = {With a literature study we found an enormous number of ontology visualization tools. Many of them apply graph visualization but there are other approaches as well. We have identified interesting solutions for dealing with the complexity of large ontologies. Ontology engineering, ontology mapping and alignment can benefit from Information Visualization. Our collection is a starting point to demonstrate the usefulness of Information Visualization techniques, however, a detailed evaluation would be the next step to consolidate this research area and help to boost the adoption of ontologies in common Web applications.},
			Doi = {10.1109/CISIS.2009.178},
			Owner = {gokcan},
			Timestamp = {2018.01.01}
			}

			@InProceedings{DSSimOnto,
			Title = {DSSim-ontology Mapping with Uncertainty},
			Author = {Nagy, Miklos and Vargas-Vera, Maria and Motta, Enrico},
			Booktitle = {Proceedings of the 1st International Conference on Ontology Matching - Volume 225},
			Year = {2006},

			Address = {Aachen, Germany, Germany},
			Pages = {115--123},
			Publisher = {CEUR-WS.org},
			Series = {OM'06},

			Acmid = {2889643},
			Location = {Athens, Georgia},
			Numpages = {9},
			Url = {http://dl.acm.org/citation.cfm?id=2889633.2889643}
			}

			@Misc{PromptVizWeb,
			Title = {PromptViz},

			Author = {David Perrin},
			HowPublished = {\url{https://protegewiki.stanford.edu/wiki/PromptViz}},
			Note = {Dernère visite : 23.07.2017},

			Owner = {gokcan},
			Timestamp = {2018.01.02}
			}

			@Misc{IsaVizWeb,
			Title = {IsaViz},

			Author = {Emmanuel Pietriga},
			HowPublished = {\url{https://www.w3.org/2001/11/IsaViz}},
			Note = {Dernère visite : 23.07.2017},

			Owner = {gokcan},
			Timestamp = {2018.01.02}
			}

			@Misc{CogZWeb,
			Title = {CogZ},

			Author = {Sean Falconer, Natalya F. Noy and Margaret-Anne Storey},
			HowPublished = {\url{http://thechiselgroup.org/cogz}},
			Note = {Dernère visite : 23.07.2017},

			Owner = {gokcan},
			Timestamp = {2018.01.02}
			}

			@Article{VOWL1,
			Title = {Visualizing Ontologies with VOWL},
			Author = {Steffen Lohmanna, Stefan Negrub, Florian Haaga and Thomas Ertla},
			Journal = {Semantic Web Journal},
			Year = {2014},

			Owner = {gokcan},
			Timestamp = {2018.01.01}
			}

			@Article{VOWL2,
			Title = {VOWL2 : User-Oriented Visualization of Ontologies},
			Author = {Steffen Lohmanna, Stefan Negrub, Florian Haaga and Thomas Ertla},
			Journal = {Semantic Web Journal},
			Year = {2014},

			Owner = {gokcan},
			Timestamp = {2018.01.01}
			}

			@Misc{JambaWeb,
			Title = {Jambalaya},

			Author = {Margaret-Anne Storey and al},
			HowPublished = {\url{https://protegewiki.stanford.edu/wiki/Jambalaya}},
			Note = {Dernère visite : 23.07.2017},

			Owner = {gokcan},
			Timestamp = {2018.01.02}
			}

			@Article{PARIS,
			Title = {{PARIS: Probabilistic Alignment of Relations, Instances, and Schema}},
			Author = {Suchanek, Fabian M. and Abiteboul, Serge and Senellart, Pierre},
			Journal = {{Proceedings of the VLDB Endowment (PVLDB)}},
			Year = {2011},

			Month = Dec,
			Number = {3},
			Pages = {157-168},
			Volume = {5},

			Hal_id = {hal-00745191},
			Hal_local_reference = {PS:PVLDB-2011},
			Hal_version = {v1},
			Publisher = {{VLDB Endowment}},
			Url = {https://hal-imt.archives-ouvertes.fr/hal-00745191}
			}

			@Article{OptimaOAEI2011,
			Title = {Optima results for OAEI 2011},
			Author = {Thayasivam, Uthayasanker and Doshi, Prashant},
			Year = {2011},

			Month = {01},
			Volume = {814},

			Booktitle = {CEUR Workshop Proceedings}
			}

			@Misc{AlignmentCubesWeb,
			Title = {AlignmentCubes},

			Author = {Valentina Ivanova, Benjamin Bach, Emmanuel Pietriga and Patrick Lambrix},
			HowPublished = {\url{http://www.ida.liu.se/~patla00/publications/ISWC17/}},
			Note = {Dernère visite : 04.01.2018},
			Year = {2017},

			Owner = {gokcan},
			Timestamp = {2018.01.02}
			}

			@Article{btm226,
			Title = {Multiple alignment by aligning alignments},
			Author = {Wheeler, Travis J. and Kececioglu, John D.},
			Journal = {Bioinformatics},
			Year = {2007},
			Number = {13},
			Pages = {i559-i568},
			Volume = {23},

			Doi = {10.1093/bioinformatics/btm226},
			Eprint = {/oup/backfile/content_public/journal/bioinformatics/23/13/10.1093/bioinformatics/btm226/2/btm226.pdf},
			Url = { + http://dx.doi.org/10.1093/bioinformatics/btm226}
			}

			@Misc{ComaWeb,
			Title = {University of Leipzig, Coma 3.0},
			HowPublished = {\url{https://dbs.uni-leipzig.de/de/Research/coma.html}},
			Note = {Dernère visite : 23.07.2017},

			Owner = {gokcan},
			Timestamp = {2018.01.02}
			}

			@Misc{NeOnWeb,
			Title = {NeOn Foundation, NeOn toolkit},
			HowPublished = {\url{http://neon-toolkit.org}},
			Note = {Dernère visite : 23.07.2017},

			Owner = {gokcan},
			Timestamp = {2018.01.01}
			}

			@Misc{OntoMapWeb,
			Title = {Ontoprise, MapOnto},
			HowPublished = {\url{http://neon-toolkit.org/wiki/1.x/Ontology\_Mapping.html}},
			Note = {Dernère visite : 23.07.2017},

			Owner = {gokcan},
			Timestamp = {2018.01.02}
			}

			@Misc{OWLGrEdWeb,
			Title = {IMCS UL Scientific Cloud, OWLGrEd},
			HowPublished = {\url{http://owlgred.lumii.lv}},
			Note = {Dernère visite : 23.07.2017},

			Owner = {gokcan},
			Timestamp = {2018.01.01}
			}

			@Misc{ProtegeWeb,
			Title = {Stanford Center for Biomedical Informatics Research, Protégé},
			HowPublished = {\url{http://protege.stanford.edu}},
			Note = {Dernère visite : 23.07.2017},

			Owner = {gokcan},
			Timestamp = {2018.01.02}
			}

			@Misc{RDFGraWeb,
			Title = {Salzburg Research, RDFGravity},
			HowPublished = {\url{https://www.w3.org/2001/sw/wiki/RDFGravity}},
			Note = {Dernère visite : 23.07.2017},

			Owner = {gokcan},
			Timestamp = {2018.01.02}
			}

			@Misc{SamboWeb,
			Title = {Department of Computer and Information Science, Linköpings universitet, Sweden, Sambo},
			HowPublished = {\url{http://www.ida.liu.se/~patla00/research/SAMBO/material/SAMBO-KitAMO-poster.pdf}},
			Note = {Dernère visite : 23.07.2017},

			Owner = {gokcan},
			Timestamp = {2018.01.02}
			}


			@Misc{KECTT,
			author = {Knowledge Engineering CUI},
			title = {Analyse hieracique des taches},
			howpublished = {\url{http://www.cui.unige.ch/isi/icle-wiki/ipm:analyse_hierarchique_taches}},
			Note = {Dernère visite : 01.03.2018},
			owner = {gokcan},
			timestamp = {2018.03.01},
			}

			@Article{CTTEMoriPaterno,
			author = {G. Mori and F. Paterno and C. Santoro},
			title = {CTTE: support for developing and analyzing task models for interactive system design},
			journal = {IEEE Transactions on Software Engineering},
			year = {2002},
			volume = {28},
			number = {8},
			pages = {797-813},
			month = {Aug},
			issn = {0098-5589},
			doi = {10.1109/TSE.2002.1027801},
			keywords = {interactive systems;task analysis;user interfaces;systems analysis;CTTE;task models;interactive system design;task-based design;interactive software;attributes;semantic relationships;dynamic behavior;user interfaces;Interactive systems;Application software;User interfaces;Software tools;Context modeling;Performance analysis;Software design;Analytical models;Software systems},
			}

			@Misc{OAEIWeb,
			author = {Jerome Euzenat},
			title = {Ontology Alignment Evaluation Initiative},
			howpublished = {\url{http://oaei.ontologymatching.org/}},
			Note = {Dernère visite : 01.07.2018},
			owner = {gokcan},
			timestamp = {2018.07.01},
			}

			@Misc{rdflibWeb,
			author = {LinkedData team and TimBL},
			title = {rdflib},
			howpublished = {\url{https://github.com/linkeddata/rdflib.js}},
			Note = {Dernère visite : 01.07.2018},
			owner = {gokcan},
			timestamp = {2018.07.01},
			}

			@Misc{d3jsWeb,
			author = {Mike Bostock},
			title = {D3 Data-Driven Documents},
			howpublished = {\url{https://d3js.org/}},
			Note = {Dernère visite : 01.07.2018},
			owner = {gokcan},
			timestamp = {2018.07.01},
			}

			@Misc{boostrapWeb,
			title = {Bootstrap library},
			howpublished = {\url{https://getbootstrap.com/}},
			Note = {Dernère visite : 01.02.2018},
			owner = {gokcan},
			timestamp = {2018.02.01},
			}

			@article{SUSusability,
			author = {Brooke, John},
			year = {1995},
			month = {11},
			pages = {},
			title = {SUS: A quick and dirty usability scale},
			volume = {189},
			booktitle = {Usability Eval. Ind.}
			}

			@misc{ UsabilityWiki,
			author = "{Wikipedia contributors}",
			title = "Usability --- {Wikipedia}{,} The Free Encyclopedia",
			year = "2018",
			howpublished = "\url{https://en.wikipedia.org/w/index.php?title=Usability&oldid=851818583}",
			Note = {Dernère visite : 01.08.2018},
			}

			@misc{OntologyAlignmentWiki,
			author = "{Wikipedia contributors}",
			title = "Ontology alignment --- {Wikipedia}{,} The Free Encyclopedia",
			year = "2018",
			howpublished = "\url{https://en.wikipedia.org/w/index.php?title=Ontology_alignment&oldid=833686480}",
			Note = {Dernère visite : 01.08.2018},
			}


			@Misc{KEUsability,
			title = {L utilisabilite et la conception centree sur l utilisateur},
			howpublished = {\url{http://www.cui.unige.ch/isi/icle-wiki/ipm:utilisabilite}},
			Note = {Dernère visite : 01.08.2018},
			owner = {gokcan},
			timestamp = {2018.02.01},
			}

			@Misc{KETestsUsability,
			title = {Tests d utilisabilite},
			howpublished = {\url{http://www.cui.unige.ch/isi/icle-wiki/ipm:tests_d_utilisabilite}},
			Note = {Dernère visite : 01.08.2018},
			owner = {gokcan},
			timestamp = {2018.02.01},
			}


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