@inproceedings{conf/birthday/BloehdornBCGHLMMSSV11,
  author = {Bloehdorn, Stephan and Blohm, Sebastian and Cimiano, Philipp and Giesbrecht, Eugenie and Hotho, Andreas and Lösch, Uta and Mädche, Alexander and Mönch, Eddie and Sorg, Philipp and Staab, Steffen and Völker, Johanna},
  booktitle = {Foundations for the Web of Information and Services},
  crossref = {conf/birthday/2011studer},
  editor = {Fensel, Dieter},
  ee = {http://dx.doi.org/10.1007/978-3-642-19797-0_7},
  interhash = {db48314326a36fc4ac8770cba2c20e49},
  intrahash = {21be5153a8f491c9f209d57ce7662387},
  isbn = {978-3-642-19796-3},
  pages = {115-142},
  publisher = {Springer},
  title = {Combining Data-Driven and Semantic Approaches for Text Mining.},
  url = {http://dblp.uni-trier.de/db/conf/birthday/studer2011.html#BloehdornBCGHLMMSSV11},
  year = 2011
}

@article{cimiano2006ontologies,
  abstract = {Ontologies are nowadays used for many applications requiring data, services and resources in general to be interoperable and machine understandable. Such applications are for example web service discovery and composition, information integration across databases, intelligent search, etc. The general idea is that data and services are semantically described with respect to ontologies,which are formal specifications of a domain of interest, and can thus be shared and reused in a way such that the shared meaning specified by the ontology remains formally the same across different parties and applications. As the cost of creating ontologies is relatively high, different proposals have emerged for learning ontologies from structured and unstructured resources. In this article we examine the maturity of techniques for ontology learning from textual resources, addressing the question whether the state-of-the-art is mature enough to produce ontologies ‘on demand’.},
  author = {Cimiano, Philipp and Völker, Johanna and Studer, Rudi},
  file = {cimiano2006ontologies.pdf:cimiano2006ontologies.pdf:PDF},
  groups = {public},
  interhash = {aeb553dc2e190f0a5974dfdc709d450a},
  intrahash = {fe4c2950b5be221b493e29e4339240e8},
  journal = {Information, Wissenschaft und Praxis},
  journalpub = {1},
  month = OCT,
  note = {see the special issue for more contributions related to the Semantic Web},
  number = {6-7},
  pages = {315-320},
  timestamp = {2008-07-23 11:47:29},
  title = {Ontologies on Demand? - A Description of the State-of-the-Art, Applications, Challenges and Trends for Ontology Learning from Text},
  url = {\url{http://www.aifb.uni-karlsruhe.de/WBS/pci/Publications/iwp06.pdf}},
  username = {dbenz},
  volume = 57,
  year = 2006
}

@incollection{rudolph2007supporting,
  abstract = {Designing and refining ontologies becomes a tedious task, once the boundary to real-world-size knowledge bases has been crossed. Hence semi-automatic methods supporting those tasks will determine the future success of ontologies in practice. In this paper we describe a way for ontology creation and refinement by combining techniques from natural language processing (NLP) and formal concept analysis (FCA). We point out how synergy between those two fields can be established thereby overcoming each other’s shortcomings.},
  address = {Berlin / Heidelberg},
  affiliation = {Institute AIFB, Universität Karlsruhe Germany},
  author = {Rudolph, Sebastian and Völker, Johanna and Hitzler, Pascal},
  booktitle = {Conceptual Structures: Knowledge Architectures for Smart Applications},
  doi = {10.1007/978-3-540-73681-3_41},
  editor = {Priss, Uta and Polovina, Simon and Hill, Richard},
  file = {rudolph2007supporting.pdf:rudolph2007supporting.pdf:PDF},
  groups = {public},
  interhash = {95939c2e69ef57fcf65e93df6010fe60},
  intrahash = {582e9add98a452d5cc6d4d0788d6e6d9},
  pages = {488-491},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  timestamp = {2010-11-10 11:28:57},
  title = {Supporting Lexical Ontology Learning by Relational Exploration},
  url = {http://dx.doi.org/10.1007/978-3-540-73681-3_41},
  username = {dbenz},
  volume = 4604,
  year = 2007
}

@article{ieKey,
  author = {Cimiano, Philipp and V"olker, Johanna and Studer, Rudi},
  date = {October 2006},
  interhash = {0007185516cf6c93931a11bc13c55f3f},
  intrahash = {bd70c98a41d8cc01464dd022dfd118b6},
  journal = {Information, Wissenschaft und Praxis},
  number = {6-7},
  pages = {315-320},
  title = {Ontologies on Demand? -A Description of the State-of-the-Art, Applications, Challenges and Trends for Ontology Learning from Text Information},
  url = {http://www.aifb.uni-karlsruhe.de/Publikationen/showPublikation?publ_id=1282},
  volume = 57,
  year = 2006
}

@inproceedings{conf/Rudolph07,
  address = {Berlin, Heidelberg},
  author = {Rudolph, Sebastian and Völker, Johanna and Hitzler, Pascal},
  booktitle = {Proceedings of the 15th International Conference on Conceptual Structures (ICCS 2007)},
  crossref = {conf/iccs/2006},
  editor = {Priss, Uta and Polovina, Simon and Hill, Richard},
  interhash = {95939c2e69ef57fcf65e93df6010fe60},
  intrahash = {06b7dbf2f1ae4a442bb1559c499dae16},
  isbn = {3-540-73680-8},
  month = {July},
  pages = {488-491},
  publisher = {Springer-Verlag},
  series = {Lecture Notes in Artificial Intelligence},
  title = {Supporting Lexical Ontology Learning by Relational Exploration},
  url = {http://www.aifb.uni-karlsruhe.de/WBS/phi/resources/publications/iccs07-relexp.pdf},
  volume = 4604,
  year = 2007
}

@article{voelker2008aeon,
  abstract = {OntoClean is an approach towards the formal evaluation of taxonomic relations in ontologies. The application of OntoClean consists of two main steps. First, concepts are tagged according to meta-properties known as rigidity, unity, dependency and identity. Second, the tagged concepts are checked according to predefined constraints to discover taxonomic errors. Although OntoClean is well documented in numerous publications, it is still used rather infrequently due to the high costs of application. Especially, the manual tagging of concepts with the correct meta-properties requires substantial efforts of highly experienced ontology engineers. In order to facilitate the use of OntoClean and to enable the evaluation of real-world ontologies, we provide AEON, a tool which automatically tags concepts with appropriate OntoClean meta-properties and performs the constraint checking. We use the Web as an embodiment of world knowledge, where we search for patterns that indicate how to properly tag concepts. We thoroughly evaluated our approach against a manually created gold standard. The evaluation shows the competitiveness of our approach while at the same time significantly lowering the costs. All of our results, i.e. the tool AEON as well as the experiment data, are publicly available.},
  address = {Amsterdam, The Netherlands, The Netherlands},
  author = {Völker, Johanna and Vrandečić, Denny and Sure, York and Hotho, Andreas},
  interhash = {f14794f4961d0127dc50c1938eaef7ea},
  intrahash = {f8f0bb3e3495e7627770b470d1a5f1a3},
  issn = {1570-5838},
  journal = {Applied Ontology},
  number = {1-2},
  pages = {41--62},
  publisher = {IOS Press},
  title = {AEON - An approach to the automatic evaluation of ontologies},
  url = {http://portal.acm.org/citation.cfm?id=1412422},
  volume = 3,
  year = 2008
}

@article{voelker2008aeon,
  abstract = {OntoClean is an approach towards the formal evaluation of taxonomic relations in ontologies. The application of OntoClean consists of two main steps. First, concepts are tagged according to meta-properties known as rigidity, unity, dependency and identity. Second, the tagged concepts are checked according to predefined constraints to discover taxonomic errors. Although OntoClean is well documented in numerous publications, it is still used rather infrequently due to the high costs of application. Especially, the manual tagging of concepts with the correct meta-properties requires substantial efforts of highly experienced ontology engineers. In order to facilitate the use of OntoClean and to enable the evaluation of real-world ontologies, we provide AEON, a tool which automatically tags concepts with appropriate OntoClean meta-properties and performs the constraint checking. We use the Web as an embodiment of world knowledge, where we search for patterns that indicate how to properly tag concepts. We thoroughly evaluated our approach against a manually created gold standard. The evaluation shows the competitiveness of our approach while at the same time significantly lowering the costs. All of our results, i.e. the tool AEON as well as the experiment data, are publicly available.},
  address = {Amsterdam, The Netherlands, The Netherlands},
  author = {Völker, Johanna and Vrandečić, Denny and Sure, York and Hotho, Andreas},
  interhash = {f14794f4961d0127dc50c1938eaef7ea},
  intrahash = {f8f0bb3e3495e7627770b470d1a5f1a3},
  issn = {1570-5838},
  journal = {Applied Ontology},
  number = {1-2},
  pages = {41--62},
  publisher = {IOS Press},
  title = {AEON - An approach to the automatic evaluation of ontologies},
  url = {http://portal.acm.org/citation.cfm?id=1412422},
  volume = 3,
  year = 2008
}

@inproceedings{nldb05,
  address = {Alicante, Spain},
  author = {Cimiano, Philipp and Völker, Johanna},
  booktitle = {Proceedings of the 10th International Conference on Applications of Natural Language to Information Systems (NLDB)},
  editor = {Montoyo, Andres and Munoz, Rafael and Metais, Elisabeth},
  interhash = {c90cb094c9f4f3cca1214d0478ffeb07},
  intrahash = {072436e5adc4f5fdc39f4baeaa55b077},
  month = JUN,
  pages = {227-238},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  title = {Text2Onto - A Framework for Ontology Learning and Data-driven Change Discovery},
  url = {\url{http://www.aifb.uni-karlsruhe.de/WBS/jvo/publications/Text2Onto_nldb_2005.pdf}},
  volume = 3513,
  year = 2005
}

@article{1282,
  author = {Cimiano, Philipp and Völker, Johanna and Studer, Rudi},
  interhash = {aeb553dc2e190f0a5974dfdc709d450a},
  intrahash = {fe4c2950b5be221b493e29e4339240e8},
  journal = {Information, Wissenschaft und Praxis},
  month = OCT,
  note = {see the special issue for more contributions related to the Semantic Web},
  number = {6-7},
  pages = {315-320},
  title = {Ontologies on Demand? - A Description of the State-of-the-Art, Applications, Challenges and Trends for Ontology Learning from Text},
  url = {\url{http://www.aifb.uni-karlsruhe.de/WBS/pci/Publications/iwp06.pdf}},
  volume = 57,
  year = 2006
}

@inproceedings{voelker1:07:eswc,
  author = {Völker, Johanna and Vrandecic, Denny and Sure, York and Hotho, Andreas},
  booktitle = {Proceedings of the European Semantic Web Conference, ESWC2007},
  editor = {Franconi, Enrico and Kifer, Michael and May, Wolfgang},
  interhash = {5a5b17f5657ccff6fa7fd17dae4ae503},
  intrahash = {c5c43ae4a719e6e935a9ca1a4aca906b},
  month = {July},
  publisher = {Springer-Verlag},
  series = {Lecture Notes in Computer Science},
  title = {{Learning Disjointness}},
  url = {http://www.eswc2007.org/pdf/eswc07-voelker1.pdf},
  vgwort = {26},
  volume = 4519,
  year = 2007
}