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Multi-Ontology Learning

Contact: n.a.

Project Status: completed


The goal of the project MULTIPLA is to develop and examine methods for learning multiple ontologies and integrate them. The purpose is that applica- tions can exploit the different ontologies to switch between domains, foci and natural languages in a seamless way. The project will be devoted to develop- ing new paradigms for ontology learning with a particular focus on combining different natural languages and domains for knowledge retrieval applications. This will require the development of new techniques for learning ontologies for different natural languages or domains, methods for aligning the different ontologies as well as knowledge retrieval approaches capable of using these aligned ontologies. The envisioned scenario is one in which users of a knowledge retrieval system can pose queries in some source language which can be either answered on the basis of information available in the same language, or answered on the basis of information available in some other language. This scenario will represent a common ground for the cooperation with our Czech partners at the University of Economics in Prague as well as at the Faculty of Information Technology of the University of Technology in Brno.

Involved Persons
Philipp Sorg, Johanna Völker, Philipp Cimiano, Sebastian Blohm, Achim Rettinger, Rudi Studer


from: 1 Oktober 2007
until: 31 Dezember 2011
Funding: DFG



Research Group

Web Science

Area of Research

Information Retrieval, Machine Learning, Information Extraction, Ontology Learning, Natural Language Processing, Knowledge Discovery

Publications Belonging to the Project
 - book
 - booklet
 - proceedings
 - phdthesis
 - techreport
 - deliverable
 - manual
 - misc
 - unpublished

Philipp Cimiano, Helena Hartfiel, Sebastian Rudolph
Intensional Question Answering using ILP: What does an answer mean?
In Epaminondas Kapetanios, Vijayan Sugumaran, Myra Spiliopoulou, Natural Language and Information Systems, 13th International Conference on Applications of Natural Language to Information Systems, NLDB 2008, pages: 151-162, Springer, LNCS, 5039, London, UK, Juni, 2008

Philipp Cimiano, Antje Schultz, Sergej Sizov, Philipp Sorg, Steffen Staab
Explicit vs. Latent Concept Models for Cross-Language Information Retrieval
In Craig Boutilier, Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), pages: 1513-1518, AAAI Press, Juli, 2009

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

Uta Lösch, David Müller
Mapping Microblog Posts to Encyclopedia Articles
Tagungsband Informatik 2011, GI-Edition, Berlin, Oktober, 2011

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), pages: 93-108, Springer, LNAI, 5268, September, 2008

Sebastian Rudolph, Eugenie Giesbrecht
Compositional Matrix-Space Models of Language
Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, pages: 907-916, Association for Computational Linguistics, Juli, 2010

Philipp Sorg, Philipp Cimiano
Cross-lingual Information Retrieval with Explicit Semantic Analysis
Working Notes for the CLEF 2008 Workshop

Philipp Sorg, Philipp Cimiano, Antje Schultz, Sergej Sizov
Overview of the Cross-lingual Expert Search (CriES) Pilot Challenge
CLEF (Notebook Papers/LABs/Workshops), unkown, Padua, Italy, September, 2010

Philipp Sorg, Philipp Cimiano
An Experimental Comparison of Explicit Semantic Analysis Implementations for Cross-Language Retrieval
In Helmut Horacek, Elisabeth Métais, Rafael Muñoz, Magdalena Wolska, Proceedings of the International Conference on Applications of Natural Language to Information Systems (NLDB), pages: 36-48, Springer, Juni, 2009

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

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

Philipp Sorg, Marlon Braun, David Nicolay, Philipp Cimiano
Cross-lingual Information Retrieval based on Multiple Indexes
Working Notes for the CLEF 2009 Workshop, Cross-lingual Evaluation Forum, Corfu, Greece, September, 2009

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

Denny Vrandecic, Philipp Sorg, Rudi Studer
Language Resources extracted from Wikipedia
Proceedings of International Conference on Knowledge Capture (K-Cap), Sheridan Printing, Juni, 2011

Johanna Völker, Sebastian Rudolph
Fostering Web Intelligence by Semi-automatic OWL Ontology Refinement
7th International Conference on Web Intelligence, WI 2008, Main Conference Proceedings, pages: 454-460, IEEE, Dezember, 2008

Pia-Ramona Wojtinnek, Brian Harrington, Sebastian Rudolph, Stephen Pulman
Conceptual Knowledge Acquisition Using Automatically Generated Large-Scale Semantic Networks
In Madalina Croitoru, Sébastien Ferré, Dickson Lukose, Proceedings of the 18th International Conference on Conceptual Structures, pages: 203-206, Springer, LNCS, 6208, Juli, 2010

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Johanna Völker
Learning Expressive Ontologies
AKA Verlag / IOS Press, Studies on the Semantic Web, (002), Juli, 2009

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Philipp Sorg, Philipp Cimiano
Multilingual Information Retrieval
Multilingual Natural Language Processing Applications, Pearson Education, 2011

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