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Maschinelles Lernen

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Beteiligte Personen
M.Sc. Ahmed Abouelazm
M.Sc. Mohammd Karam Daaboul
M.Sc. Marcus Fechner
Dr. Michael Färber
M.Sc. Daniel Grimm
M.Sc. Dominik Heid
M.Sc. Tim Joseph
M.Sc. Karl Kurzer
M.Sc. Nico Lambing
M.Sc. Albert Lee
M.Sc. Florian Leiser
M.Sc. Ferdinand Mütsch
M.Sc. Ebrahim Norouzi
M.Sc. Stefan Orf/en
M.Sc. Stefan Orf
M.Sc. Rupert Polley
M.Sc. Nikolai Polley
M.Sc. Nicholas Popovic
M.Sc. Zhan Qu
M. Sc. Albert Schotschneider
M.Sc. Philipp Stegmaier
Prof. Dr. York Sure-Vetter
Dr.-Ing. Steffen Thoma
M.Sc. Marc Uecker
M.Sc. Abhishek Vivekanandan
M.Sc. Shuzhou Yuan
M.Sc. Maximilian Zipfl
Prof. Dr. J. Marius Zöllner


Lehrveranstaltungen
TypSemesterNameLink
PraktikumWSProjektpraktikum Kognitive Automobile und Roboter
SeminarSSGraph Representation Learning
SeminarSSKnowledge Discovery and Data Mining
SeminarWS & SSKognitive Automobile und Roboter
VorlesungWSAnwendungen der KI
VorlesungWSKnowledge Discovery
VorlesungWSMaschinelles Lernen 1 - Grundverfahren
VorlesungSSMaschinelles Lernen 2 – Fortgeschrittene Verfahren


Aktive Projekte


Veröffentlichungen zum Forschungsgebiet

Article
Michael Färber, Coutinho, Shuzhou Yuan
Biases in Scholarly Recommender Systems: Impact, Prevalence, and Mitigation
Scientometrics, 2023
(Details)


Florian Leiser, Sascha Rank, Manuel Schmidt-Kraepelin, Scott Thiebes, Ali Sunyaev
Medical informed machine learning: A scoping review and future research directions
Artificial Intelligence in Medicine, 145, November, 2023
(Details)


Sebastian Lins, Konstantin D. Pandl, Heiner Teigeler, Scott Thiebes, Calvin Bayer, Ali Sunyaev
Artificial Intelligence as a Service. Classification and Research Directions
Business & Information Systems Engineering, Juli, 2021
(Details)


Achim Rettinger, Matthias Nickles, Volker Tresp
Statistical relational learning of trust
Machine Learning Journal, 81, September, 2010
(Details)


Stefan Thanheiser, Lei Liu, Hartmut Schmeck
Towards Collaborative Coping with IT Complexity by Combining SOA and Organic Computing
System and Information Sciences Notes, 2, (1), Seiten 82-87, 2007
(Details)


Sebastian Bader, Pascal Hitzler, Steffen Hölldobler
The Integration of Connectionism and First-Order Knowledge Representation and Reasoning as a Challenge for Artificial Intelligence
Information, 9, (1), Januar, 2006
(Details)


Stephan Bloehdorn, Philipp Cimiano, Andreas Hotho, Steffen Staab
An Ontology-based Framework for Text Mining
LDV Forum - GLDV Journal for Computational Linguistics and Language Technology, 20, (1), Seiten 87-112, Mai, 2005
(Details)


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inproceedings
Florian Leiser, Simon Warsinsky, Marie Daum, Manuel Schmidt-Kraepelin, Scott Thiebes, Martin Wagner, Ali Sunyaev
Understanding the Role of Expert Intuition in Medical Image Annotation: A Cognitive Task Analysis Approach
Proceedings of the 56th Hawaii International Conference on System Sciences (HICSS 2023), University of Hawaii at Manoa, Januar, 2023
(Details)


Florian Leiser, Simon Warsinsky, Manuel Schmidt-Kraepelin, Scott Thiebes, Ali Sunyaev
How Experts Rely on Intuition in Medical Image Annotation – A Study Proposal
In Fred D. Davis, René Riedl, Jan vom Brocke, Pierre-Majorique Léger, Adriane B. Randolph, Gernot R. Müller-Putz, Proceedings NeuroIS Retreat 2023, Seiten: 245 - 253, Springer, Mai, 2023
(Details)


David Faragó, Michael Färber, Christian Petrov
A Full-fledged Commit Message Quality Checker Based on Machine Learning
Proceedings of the 47th Annual IEEE Computers, Software, and Applications Conference (COMPSAC'23), IEEE
(Details)


Florian Leiser, Sven Eckhardt, Merlin Knaeble, Alexander Maedche, Gerhard Schwabe, Ali Sunyaev
From ChatGPT to FactGPT: A Participatory Design Study to Mitigate the Effects of Large Language Model Hallucinations on Users
Proceedings of Mensch und Computer 2023, Association for Computing Machinery (ACM), September, 2023
(Details)


Mattis Bodynek, Florian Leiser, Scott Thiebes, Ali Sunyaev
Applying Random Forests in Federated Learning: A Synthesis of Aggregation Techniques
Wirtschaftsinformatik 2023 Proceedings, AIS eLibrary, September, 2023
(Details)


Anna Nguyen, Adrian Oberföll, Michael Färber
Right for the Right Reasons: Making Image Classification Intuitively Explainable
Advances in Information Retrieval. ECIR 2021. Lecture Notes in Computer Science, Springer, Cham, 12657, März, 2021
(Details)


Michael Färber, Ann-Kathrin Leisinger
Recommending Datasets for Scientific Problem Descriptions
Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM'21), ACM
(Details)


Anna Nguyen, Franz Krause, Daniel Hagenmayer, Michael Färber
Quantifying Explanations of Neural Networks in E-Commerce Based on LRP
Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD'21), Seiten: 251-267, Springer, Juli, 2021
(Details)


Michael Färber, Alexander Albers, Felix Schüber
Identifying Used Methods and Datasets in Scientific Publications
In AAAI, Proceedings of the AAAI-21 Workshop on Scientific Document Understanding (SDU'21), AAAI
(Details)


Anna Nguyen, Tobias Weller, Michael Färber, York Sure-Vetter
Making Neural Networks FAIR
In Villazón-Terrazas et al., Proceedings of the Knowledge Graphs and Semantic Web (KGSWC'20), Seiten: 29-44, Springer, Communications in Computer and Information Science, November, 2020
(Details)


Michael Färber, Timo Klein, Joan Sigloch
Neural Citation Recommendation: A Reproducibility Study
Proceedings of the 10th International Workshop on Bibliometric-enhanced Information Retrieval (BIR'20), CEUR
(Details)


Tobias Weller, Tobias Dillig, Maribel Acosta, York Sure-Vetter
Mining Latent Features of Knowledge Graphs for Predicting Missing Relations
In C. Maria Keet and Michel Dumontier, Knowledge Engineering and Knowledge Management - 22nd International Conference, EKAW 2020, Springer, September, 2020
(Details)


Tobias Schmitt, Cedric Kulbach, York Sure-Vetter
Improving NLU Training over Linked Data with Placeholder Concepts
In Maribel Acosta, Philippe Cudré-Mauroux, Maria Maleshkova, Tassilo Pellegrini, Harald Sack, York Sure-Vetter, Semantic Systems. The Power of AI and Knowledge Graphs - 15th International Conference, SEMANTiCS 2019, Karlsruhe, Germany, September 9-12, 2019, Proceedings, Seiten: 67-82, Springer, Lecture Notes in Computer Science
(Details)


Kevin Förderer, Mischa Ahrens, Kaibin Bao, Ingo Mauser, Hartmut Schmeck
Towards the Modeling of Flexibility Using Artificial Neural Networks in Energy Management and Smart Grids
In ACM, Proceedings of the Ninth International Conference on Future Energy Systems (e-Energy '18), Seiten: 85-90, ACM, New York, NY, USA, Juni, 2018
(Details)


Aditya Mogadala, Bhargav Kanuparthi, Achim Rettinger, York Sure-Vetter
Discovering Connotations as Labels for Weakly Supervised Image-Sentence Data
WWW'18: Proceedings of The Web Conference 2018, Lyon, France, April 2018, Seiten: 379-386, ACM, April, 2018
(Details)


Andreas Thalhammer, Nelia Lasierra, Achim Rettinger
LinkSUM: Using Link Analysis to Summarize Entity Data
In Bozzon, Alessandro and Cudré-Mauroux, Philippe and Pautasso, Cesare, Web Engineering, 16th International Conference, ICWE 2016, Lugano, Switzerland, June 6-9, 2016. Proceedings, Seiten: 244-261, Springer International Publishing, Lecture Notes in Computer Science, 9671, Cham, Juni, 2016
(Details)


Aditya Mogadala, Achim Rettinger
Multi-Modal Correlated Centroid Space for Multi-Lingual Cross-Modal Retrieval
In Hanbury, Allan and Kazai, Gabriella and Rauber, Andreas and Fuhr, Norbert, Advances in Information Retrieval: 37th European Conference on IR Research (ECIR), Vienna, Austria., Seiten: http://people.aifb.kit.edu/amo/ecir2015/, Springer International Publishing, Cham, Germany, April, 2015
(Details)


Uta Lösch, Stephan Bloehdorn, Achim Rettinger
Graph Kernels for RDF Data
In Elena Simperl et. al., Proc. of the 9th Extended Semantic Web Conference (ESWC'12), Springer, Mai, 2012
(Details)


Nugroho Fredivianus, Kais Kara, Hartmut Schmeck
Stay real!: XCS with rule combining for real values
Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference companion, Seiten: 1493-1494, ACM, Philadelphia, Pennsylvania, USA, Juli, 2012
(Details)


Philipp Sorg, Philipp Cimiano
Finding the Right Expert: Discriminative Models for Expert Retrieval
Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (KDIR), Reuters, Paris, France, Oktober, 2011
(Details)


Evgeny Sitnikov, Achim Rettinger, Ole Mengshoel
Distributed Unsupervised Semantic Parsing of Large-Scale Document Corpora
NIPS 2011 Workshop; Big Learning: Algorithms, Systems, and Tools for Learning at Scale, Neural Information Processing Systems, Dezember, 2011
(Details)


Matthias Nickles, Achim Rettinger
Towards Interactive Relational Reinforcement Learning of Concepts
NIPS 2011 Workshop; Learning Semantics, Neural Information Processing Systems, Dezember, 2011
(Details)


Nugroho Fredivianus, Holger Prothmann, Hartmut Schmeck
XCS Revisited: A Novel Discovery Component for the eXtended Classifier System
In Kalyanmoy Deb and others, Proceedings of the 8th International Conference on Simulated Evolution And Learning (SEAL-2010), Seiten: 289-298, Springer, LNCS, 6457, Berlin Heidelberg, Dezember, 2010
(Details)


Clemens Lode, Urban Richter, Hartmut Schmeck
Adaption of XCS to Multi-Learner Predator/Prey Scenarios
In Martin Pelikan, Jürgen Branke, Proceedings of the 12th Annual Conference on Genetic and Evolutionary Computation (GECCO 2010), Seiten: 1015-1022, ACM, New York, NY, USA, Juli, 2010
(Details)


Philipp Sorg, Philipp Cimiano
Enriching the crosslingual link structure of Wikipedia - A classification-based approach
Proceedings of the AAAI 2008 Workshop on Wikipedia and Artifical IntelligenceJuni, 2008
(Details)


Uta Lösch
Trend detection in formal models of dynamic domains
Xinnovations 2008, Berlin, September, 2008
(Details)


Christian Meilicke, Johanna Völker, Heiner Stuckenschmidt
Learning Disjointness for Debugging Mappings between Lightweight Ontologies
In Aldo Gangemi and Jerome Euzenat, Proceedings of the International Conference on Knowledge Engineering and Knowledge Management (EKAW), Seiten: 93-108, Springer, LNAI, 5268, September, 2008
(Details)


Urban Richter, Holger Prothmann, Hartmut Schmeck
Improving XCS Performance by Distribution
In Xiaodong Li, Michael Kirley, Mengjie Zhang, David Green, Vic Ciesielski, Hussein Abbass, Zbigniew Michalewicz, Tim Hendtlass, Kalyanmoy Deb, Kay Chen Tan, Jürgen Branke, and Yuhui Shi, Proceedings of the 7th International Conference on Simulated Evolution And Learning (SEAL 2008), Seiten: 111-120, Springer, LNCS, 5361, Dezember, 2008
(Details)


Urban Richter, Moez Mnif
Learning to Control the Emergent Behaviour of a Multi-Agent System
In Franziska Klügl, Karl Tuyls, and Sandip Sen, Proceedings of the 2008 Workshop on Adaptive Learning Agents and Multi-Agent Systems at AAMAS 2008 (ALAMAS+ALAg 2008), Seiten: 33-40Mai, 2008
(Details)


Philipp Sorg
Learning Methods in Multi-Grained Query Answering
Proceedings of the ISWC 08 Doctoral Consortium
(Details)


Sebastian Blohm, Philipp Cimiano, Egon Stemle
Harvesting Relations from the Web -Quantifiying the Impact of Filtering Functions
Proceedings of the 22nd Conference on Artificial Intelligence (AAAI-07), Seiten: 1316--1323Juli, 2007
(Details)


Stephan Bloehdorn, Alessandro Moschitti
Combined Syntactic and Semantic Kernels for Text Classification
In Gianni Amati, Claudio Carpineto, Gianni Romano, Advances in Information Retrieval - Proceedings of the 29th European Conference on Information Retrieval (ECIR 2007), 2-5 April 2007, Rome, Italy, Seiten: 307-318, Springer, Lecture Notes in Computer Science, 4425, April, 2007
(Details)


Stephan Bloehdorn, Alessandro Moschitti
Structure and Semantics for Expressive Text Kernels
In Mario J. Silva and Alberto H. F. Laender and Ricardo A. Baeza-Yates and Deborah L. McGuinness and Bjoern Olstad and Oystein Haug Olsen and Andre O. Falcao, Proceedings of the 16th ACM Conference on Information and Knowledge Management (CIKM 2007), November 6-9, 2007, Lisbon, Portugal, Seiten: 861--864, ACM, November, 2007
(Details)


Sebastian Blohm, Philipp Cimiano
Using the Web to Reduce Data Sparseness in Pattern-based Information Extraction
Proceedings of the 11th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD), Seiten: 18-29, Springer, Warsaw, Poland, September, 2007
(Details)


Stephan Bloehdorn, York Sure
Kernel Methods for Mining Instance Data in Ontologies
In Karl Aberer and Key-Sun Choi and Natasha Fridman Noy and Dean Allemang and Kyung-Il Lee and Lyndon J. B. Nixon and Jennifer Golbeck and Peter Mika and Diana Maynard and Riichiro Mizoguchi and Guus Schreiber and Philippe Cudre-Mauroux, The Semantic Web - Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference (ISWC 2007 + ASWC 2007), November 11-15, 2007, Busan, Korea, Seiten: 58--71, Springer, Lecture Notes in Computer Science, November, 2007
(Details)


Stephan Bloehdorn, Andreas Hotho
Boosting for Text Classification with Semantic Features
In Bamshad Mobasher and Olfa Nasraoui and Bing Liu and Brij Masand, Advances in Web Mining and Web Usage Analysis, Revised Selected Papers of the 6th International Workshop on Knowledge Discovery on the Web, WebKDD 2004, Seattle, WA, USA, August 22-25, 2004, Seiten: 149-166, Springer, Lecture Notes in Computer Science
(Details)


Stephan Bloehdorn, Roberto Basili, Marco Cammisa, Alessandro Moschitti
Semantic Kernels for Text Classification based on Topological Measures of Feature Similarity
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 06), Hong Kong, 18-22 December 2006, Seiten: 808 - 812Dezember, 2006
(Details)


Sebastian Blohm, Philipp Cimiano
Learning Patterns from the Web - Evaluating the Evaluation Functions - Extended Abstract
In Uwe Mönnich and Kai-Uwe Kühnberger, OTT'06 - Ontologies in Text Technology: Approaches to Extract Semantic KnowledInformation, Publications of the Institute of Cognitive Science, 1-2007, Osnabrück, Germany, August, 2006
(Details)


Stephan Bloehdorn, Roberto Basili, Marco Cammisa, Alessandro Moschitti
Designing Semantic Kernels as Implicit Superconcept Expansions
In Martin Schaaf and Klaus-Dieter Althoff, LWA 2006: Lernen - Wissensentdeckung - Adaptivität, 9. - 11. Oktober 2006, Hildesheim, Germany, Hildesheimer Informatik-Berichte, 1-2006, Oktober, 2006
(Details)


Marc Ehrig, York Sure, Steffen Staab
Supervised Learning of an Ontology Alignment Process
Professional Knowledge Management: Third Biennial Conference, WM 2005, Kaiserslautern, Germany, April 10-13, 2005, Revised Selected Papers, Seiten: 487-492, Springer, LNAI, 3782, April, 2005
(Details)


Jens Hartmann, Nenad Stojanovic, Rudi Studer, Lars Schmidt-Thieme
Ontology-Based Query Refinement for Semantic Portals
In Matthias Hemmje, Claudia Niederée and Thomas Risse, From Integrated Publication and Information Systems to Virtual Information and Knowledge Environments, Seiten: 41-50, Springer, Lecture Notes in Computer Science, 3379 / 2005, Januar, 2005
(Details)


Marc Ehrig, Steffen Staab, York Sure
Bootstrapping Ontology Alignment Methods with APFEL
In Y. Gil, E. Motta, V. R. Benjamins, M. A. Musen, Proceedings of the 4th International Semantic Web Conference, ISWC 2005, Galway, Ireland, November 6-10, 2005., Seiten: 186-200, Springer, LNCS, 3729, November, 2005
(Details)


Marc Ehrig, York Sure, Steffen Staab
Supervised Learning of an Ontology Alignment Process
In Klaus-Dieter Althoff and Andreas Dengel and Ralph Bergmann and Markus Nick and Thomas Roth-Berghofer, Professional Knowledge Management: Third Biennial Conference, WM 2005, Seiten: 508 - 517, Springer, LNAI, 3782, Kaiserslautern, Germany, April, 2005
(Details)


Stephan Bloehdorn, Andreas Hotho
Boosting for Text Classification with Semantic Features
Proceedings of the Workshop on Text-Based Information Retrieval (TIR-04) at the 27th German Conference on Artificial Intelligence (KI 2004), Ulm, GermanySeptember, 2004
(Details)


Stephan Bloehdorn, Andreas Hotho
Boosting for Text Classification with Semantic Features
Proceedings of the Workshop on Mining for and from the Semantic Web at the 10th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2004), Seiten: 70-87August, 2004
(Details)


Stephan Bloehdorn, Andreas Hotho
Text Classification by Boosting Weak Learners based on Terms and Concepts
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 1-4 November 2004, Brighton, UK, Seiten: 331-334, IEEE Computer Society, November, 2004
(Details)


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book
Urban Richter
Controlled Self-Organisation Using Learning Classifier Systems
KIT Scientific Publishing, November, 2009
(Details)


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incollection
Nugroho Fredivianus, Urban Richter, Hartmut Schmeck
Collaborating and Learning Predators on a Pursuit Scenario
In Mike Hinchey, Bernd Kleinjohann, Lisa Kleinjohann, Peter Lindsay, Franz Rammig, Jon Timmis, and Marilyn Wolf, Distributed, Parallel and Biologically Inspired Systems, Seiten 290-301, Springer, IFIP Advances in Information and Communication Technology, Vol.329, Boston, September, 2010
(Details)


Markus Kress, Sanaz Mostaghim, Detlef Seese
Intelligent Business Process Execution using Particle Swarm Optimization
In Raymond Chiong, Nature-Inspired Informatics for Intelligent Applications and Knowledge Discovery: Implications in Business, Science, and Engineering, Kap. 3, Seiten 49-66, IGI Global, Hershey, PA, USA, Juli, 2009
(Details)


Stephan Bloehdorn, Andreas Hotho
Ontologies for Machine Learning
In Steffen Staab and Rudi Studer, Handbook on Ontologies, Springer, International Handbooks on Information Systems, 2009
(Details)


Sebastian Bader, Pascal Hitzler
Dimensions of neural-symbolic integration - a structured survey
In S. Artemov, H. Barringer, A. S. d'Avila Garcez, L. C. Lamb, J. Woods, We Will Show Them: Essays in Honour of Dov Gabbay, Seiten 167-194, International Federation for Computational Logic, College Publications, Vol.1, Juli, 2005
(Details)


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proceedings
Mehwish Alam, Ricardo Usbeck, Tassilo Pellegrini, Harald Sack, York Sure-Vetter
Proceedings of the Posters and Demo Track of the 15th International Conference on Semantic Systems co-located with 15th International Conference on Semantic Systems (SEMANTiCS 2019), Karlsruhe, Germany, September 9th - to - 12th, 2019
CEUR-WS.org, CEUR Workshop Proceedings, September, 2019
(Details)


Maribel Acosta, Philipp Cudre-Mauroux, Maria Maleshkova, Tassilo Pellegrini, Harald Sack, York Sure-Vetter
Semantic Systems. The Power of AI and Knowledge Graphs - 15th International Conference, SEMANTiCS 2019, Karlsruhe, Germany, September 9-12, 2019, Proceedings
Springer, Lecture Notes in Computer Science, September, 2019
(Details)


Sebastian Blohm, Ulf Brefeld, Felix Jungermann, Roman Yangarber
Proceedings of the ECML PKDD Workshop on High-level Information Extraction
in Sebastian Blohm and Ulf Brefeld and Felix Jungermann and Roman YangarberSeptember, 2008
(Details)


Stephan Bloehdorn, Wray Buntine, Andreas Hotho
Proceedings of the Workshop on Learning in Web Search (LWS 2005)
August, 2005
(Details)


Andreas Hotho, York Sure, Lise Getoor
International Workshop on Mining for and from the Semantic Web (MSW2004)
August, 2004
(Details)


Bamshad Mobasher, Sarabjot Singh Anand, Bettina Berendt, Andreas Hotho
Semantic Web Personalization
September, 2004
(Details)


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phdthesis
Patrick Philipp
Decision-Making with Multi-Step Expert Advice on the Web
Achim Rettinger, 2018/04/13, KIT, Fakultät für Wirtschaftswissenschaften
(Details)


Nugroho Fredivianus
Heuristic-based Genetic Operation in Classifier Systems
Hartmut Schmeck; Rudi Studer, 2015/02/27, KIT, Fakultät für Wirtschaftswissenschaften.
(Details)


Philipp Sorg
Exploiting Social Semantics for Multilingual Information Retrieval
Rudi Studer; Philipp Cimiano, 2011/07/22, KIT, Fakultät für Wirtschaftswissenschaften
(Details)


Sebastian Blohm
Large-Scale Pattern-Based Information Extraction from the World Wide Web
Prof. Dr. Rudi Studer, 2010/01/22, KIT, Fakultät für Wirtschaftswissenschaften
(Details)


Urban Richter
Controlled Self-Organisation Using Learning Classifier Systems
Hartmut Schmeck; Karl-Heinz Waldmann, 2009/07/30, PhD thesis at the Universität Karlsruhe (TH), Fakultät für Wirtschaftswissenschaften
(Details)


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techreport
Stephan Bloehdorn, Philipp Sorg
Effective Kernel Function Design for Graph-Structured Instance Data
Institute AIFB, University of Karlsruhe (TH), Germany, Archiv Nummer 1750, April, 2008
(Details)


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deliverable
Stephan Bloehdorn, Blaz Fortuna, Dunja Mladenic, York Sure
D6.6.3 Integration of TextGarden and KAON
University of Karlsruhe, (6.6.3), SEKT Deliverable, Januar, 2006
(Details)


Stephan Bloehdorn, Peter Haase, York Sure, Johanna Völker, Matjaz Bevk, Kalina Bontcheva, Ian Roberts
D6.6.1 Report on the integration of ML, HLT and OM
University of Karlsruhe, (6.6.1), SEKT Deliverable, Juli, 2005
(Details)


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misc
Stephan Bloehdorn, Sebastian Blohm
A Self Organizing Map for Relation Extraction from Wikipedia using Structured Data Representations
International Workshop on Intelligent Information Access (IIIA-2006), Helsinki, Finland, July 6-8, 2006, Juli, 2006
(Details)


Jens Hartmann, Raúl García-Castro, Asunción Gómez-Pérez, Elena Paslaru, Lyndon JB Nixon, Mustafa Jarrar, Mari del Carmen Suárez-Figueroa
Identification of standards on metadata for ontologies
Januar, 2005
(Details)


Marc Ehrig, York Sure, Steffen Staab
Bootstrapping Ontology Alignment Methods with APFEL
Poster at WWW05, Chiba, Japan, Mai, 2005
(Details)


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