| Author | Title | Year | Journal/Proceedings | Reftype | DOI/URL |
|---|---|---|---|---|---|
| Bloehdorn, S., Blohm, S., Cimiano, P., Giesbrecht, E., Hotho, A., Lösch, U., Mädche, A., Mönch, E., Sorg, P., Staab, S. & Völker, J. | Combining Data-Driven and Semantic Approaches for Text Mining. [BibTeX] |
2011 | Foundations for the Web of Information and Services | inproceedings | URL |
BibTeX:
@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},
title = {Combining Data-Driven and Semantic Approaches for Text Mining.},
booktitle = {Foundations for the Web of Information and Services},
publisher = {Springer},
year = {2011},
pages = {115-142},
url = {http://dblp.uni-trier.de/db/conf/birthday/studer2011.html#BloehdornBCGHLMMSSV11}
}
|
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| Buitelaar, P., Cimiano, P., Haase, P. & Sintek, M. | Towards Linguistically Grounded Ontologies | 2009 | 6th Annual European Semantic Web Conference (ESWC2009) | inproceedings | URL |
| Abstract: In this paper we argue why it is necessary to associate linguistic information with ontologies and why more expressive models, beyond RDFS, OWL and SKOS, are needed to capture the relation between natural language constructs on the one hand and ontological entities on the other. We argue that in the light of tasks such as ontology-based information extraction, ontology learning and population from text and natural language generation from ontologies, currently available datamodels are not sufficient as they only allow to associate atomic terms without linguistic grounding or structure to ontology elements. Towards realizing a more expressive model for associating linguistic information to ontology elements, we base our work presented here on previously developed models (LingInfo, LexOnto, LMF) and present a new joint model for linguistic grounding of ontologies called LexInfo. LexInfo combines essential design aspects of LingInfo and LexOnto and builds on a sound model for representing computational lexica called LMF which has been recently approved as a standard under ISO. | |||||
BibTeX:
@inproceedings{linguistically2009,
author = {Buitelaar, Paul and Cimiano, Philipp and Haase, Peter and Sintek, Michael},
title = {Towards Linguistically Grounded Ontologies},
booktitle = {6th Annual European Semantic Web Conference (ESWC2009)},
year = {2009},
pages = {111-125},
url = {http://www.cimiano.de/Publications/2009/eswc09/eswc09.pdf}
}
|
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| Cimiano, P., Mädche, A., Staab, S. & Völker, J. | Ontology Learning [BibTeX] |
2009 | Handbook on Ontologies | incollection | URL |
BibTeX:
@incollection{cimiano2009ontology,
author = {Cimiano, Philipp and M{\"{a}}dche, Alexander and Staab, Steffen and V{\"{o}}lker, Johanna},
title = {Ontology Learning},
booktitle = {Handbook on Ontologies},
publisher = {Springer Berlin Heidelberg},
year = {2009},
pages = {245-267},
url = {http://dx.doi.org/10.1007/978-3-540-92673-3_11}
}
|
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| Buitelaar, P. & Cimiano, P. | Ontology Learning and Population: Bridging the Gap Between Text and Knowledge [BibTeX] |
2008 | book | URL | |
BibTeX:
@book{buitelaar2008ontology,
author = {Buitelaar, Paul and Cimiano, Philipp},
title = {Ontology Learning and Population: Bridging the Gap Between Text and Knowledge },
publisher = {Ios Press Inc},
year = {2008},
volume = {167},
edition = {illustrated edition},
url = {http://www.booksonline.iospress.nl/Content/View.aspx?piid=8211}
}
|
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| Sorg, P. & Cimiano, P. | Cross-lingual Information Retrieval with Explicit Semantic Analysis [BibTeX] |
2008 | Working Notes for the CLEF 2008 Workshop | inproceedings | URL |
BibTeX:
@inproceedings{sorg2008cirwesa,
author = {Sorg, Philipp and Cimiano, Philipp},
title = {Cross-lingual Information Retrieval with Explicit Semantic Analysis},
booktitle = {Working Notes for the CLEF 2008 Workshop},
year = {2008},
url = {http://www.aifb.kit.edu/images/7/7c/2008_1837_Sorg_Cross-lingual_I_1.pdf}
}
|
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| Bloehdorn, S., Cimiano, P. & Hotho, A. | Learning Ontologies to Improve Text Clustering and Classification | 2006 | From Data and Information Analysis to Knowledge Engineering | incollection | DOIURL |
| Abstract: Recent work has shown improvements in text clustering and classification tasks by integrating conceptual features extracted from ontologies. In this paper we present text mining experiments in the medical domain in which the ontological structures used are acquired automatically in an unsupervised learning process from the text corpus in question. We compare results obtained using the automatically learned ontologies with those obtained using manually engineered ones. Our results show that both types of ontologies improve results on text clustering and classification tasks, whereby the automatically acquired ontologies yield a improvement competitive with the manually engineered ones.
- |
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BibTeX:
@incollection{bloehdorn2006learning,
author = {Bloehdorn, Stephan and Cimiano, Philipp and Hotho, Andreas},
title = {Learning Ontologies to Improve Text Clustering and Classification},
booktitle = {From Data and Information Analysis to Knowledge Engineering},
publisher = {Springer Berlin Heidelberg},
year = {2006},
pages = {334--341},
url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2006/2006-03-gfkl05-bloehdorn-etal-learning-ontologies.pdf},
doi = {http://dx.doi.org/10.1007/3-540-31314-1_40}
}
|
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| Cimiano, P., Völker, J. & Studer, R. | Ontologies on Demand? - A Description of the State-of-the-Art, Applications, Challenges and Trends for Ontology Learning from Text | 2006 | Information, Wissenschaft und Praxis | article | URL |
| 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’. | |||||
BibTeX:
@article{cimiano2006ontologies,
author = {Cimiano, Philipp and Völker, Johanna and Studer, Rudi},
title = {Ontologies on Demand? - A Description of the State-of-the-Art, Applications, Challenges and Trends for Ontology Learning from Text},
journal = {Information, Wissenschaft und Praxis},
year = {2006},
volume = {57},
number = {6-7},
pages = {315-320},
note = {see the special issue for more contributions related to the Semantic Web},
url = {\url{http://www.aifb.uni-karlsruhe.de/WBS/pci/Publications/iwp06.pdf}}
}
|
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| Cimiano, P., Völker, J. & Studer, R. | Ontologies on Demand? - A Description of the State-of-the-Art, Applications, Challenges and Trends for Ontology Learning from Text [BibTeX] |
2006 | Information, Wissenschaft und Praxis | article | URL |
BibTeX:
@article{1282,
author = {Cimiano, Philipp and Völker, Johanna and Studer, Rudi},
title = {Ontologies on Demand? - A Description of the State-of-the-Art, Applications, Challenges and Trends for Ontology Learning from Text},
journal = {Information, Wissenschaft und Praxis},
year = {2006},
volume = {57},
number = {6-7},
pages = {315-320},
note = {see the special issue for more contributions related to the Semantic Web},
url = {\url{http://www.aifb.uni-karlsruhe.de/WBS/pci/Publications/iwp06.pdf}}
}
|
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| Cimiano, P., V"olker, J. & Studer, R. | Ontologies on Demand? -A Description of the State-of-the-Art, Applications, Challenges and Trends for Ontology Learning from Text Information [BibTeX] |
2006 | Information, Wissenschaft und Praxis | article | URL |
BibTeX:
@article{ieKey,
author = {Cimiano, Philipp and V"olker, Johanna and Studer, Rudi},
title = {Ontologies on Demand? -A Description of the State-of-the-Art, Applications, Challenges and Trends for Ontology Learning from Text Information},
journal = {Information, Wissenschaft und Praxis},
year = {2006},
volume = {57},
number = {6-7},
pages = {315-320},
url = {http://www.aifb.uni-karlsruhe.de/Publikationen/showPublikation?publ_id=1282}
}
|
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| Cimiano, P. | Ontology learning and population from text - algorithms, evaluation and applications. [BibTeX] |
2006 | book | ||
BibTeX:
@book{cimiano2006ontology,
author = {Cimiano, Philipp},
title = {Ontology learning and population from text - algorithms, evaluation and applications.},
publisher = {Springer},
year = {2006},
pages = {I-XXVIII, 1-347}
}
|
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| Tane, J., Cimiano, P. & Hitzler, P. | Query-Based Multicontexts for Knowledge Base Browsing: An Evaluation. [BibTeX] |
2006 | Proc. 14th Intl. Conf. on Conceptual Structures | inproceedings | |
BibTeX:
@inproceedings{tane06query,
author = {Tane, Julien and Cimiano, Philipp and Hitzler, Pascal},
title = {Query-Based Multicontexts for Knowledge Base Browsing: An Evaluation.},
booktitle = {Proc. 14th Intl. Conf. on Conceptual Structures},
publisher = {Springer},
year = {2006},
volume = {4068},
pages = {413-426}
}
|
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| Cimiano, P., Hotho, A. & Staab, S. | Learning Concept Hierarchies from Text Corpora using Formal Concept Analysis [BibTeX] |
2005 | Journal on Artificial Intelligence Research | article | URL |
BibTeX:
@article{cimiano05learning,
author = {Cimiano, Philipp and Hotho, Andreas and Staab, Steffen},
title = {Learning Concept Hierarchies from Text Corpora using Formal Concept Analysis},
journal = {Journal on Artificial Intelligence Research},
year = {2005},
volume = {24},
pages = {305-339},
url = {http://dblp.uni-trier.de/db/journals/jair/jair24.html#CimianoHS05}
}
|
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| Cimiano, P. & Völker, J. | Text2Onto - A Framework for Ontology Learning and Data-driven Change Discovery [BibTeX] |
2005 | Proceedings of the 10th International Conference on Applications of Natural Language to Information Systems (NLDB) | inproceedings | URL |
BibTeX:
@inproceedings{nldb05,
author = {Cimiano, Philipp and Völker, Johanna},
title = {Text2Onto - A Framework for Ontology Learning and Data-driven Change Discovery},
booktitle = {Proceedings of the 10th International Conference on Applications of Natural Language to Information Systems (NLDB)},
publisher = {Springer},
year = {2005},
volume = {3513},
pages = {227-238},
url = {\url{http://www.aifb.uni-karlsruhe.de/WBS/jvo/publications/Text2Onto_nldb_2005.pdf}}
}
|
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| Cimiano, P., Hotho, A. & Staab, S. | Comparing Conceptual, Divise and Agglomerative Clustering for Learning Taxonomies from Text | 2004 | ECAI 2004 Proceedings of the 16th European Conference on Artificial Intelligence, 22 - 27 August, Valencia, Spain | inproceedings | |
| Abstract: The application of clustering methods for automatic taxonomy construction from text requires knowledge about the tradeoff between, (i), their effectiveness (quality of result), (ii), efficiency (run-time behaviour), and, (iii), traceability of the taxonomy construction by the ontology engineer. In this line, we present an original conceptual clustering method based on Formal Concept Analysis for automatic taxonomy construction and compare it with hierarchical agglomerative clustering and hierarchical divisive clustering. | |||||
BibTeX:
@inproceedings{cimiano2004comparing,
author = {Cimiano, Philipp and Hotho, Andreas and Staab, Steffen},
title = {Comparing Conceptual, Divise and Agglomerative Clustering for Learning Taxonomies from Text},
booktitle = {ECAI 2004 Proceedings of the 16th European Conference on Artificial Intelligence, 22 - 27 August, Valencia, Spain},
publisher = {IOS Press},
year = {2004},
pages = {435-439}
}
|
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| Cimiano, P., Hotho, A., Stumme, G. & Tane, J. | Conceptual Knowledge Processing with Formal Concept Analysis and Ontologies [BibTeX] |
2004 | Concept Lattices | incollection | URL |
BibTeX:
@incollection{cimiano2004conceptual,
author = {Cimiano, Philipp and Hotho, Andreas and Stumme, Gerd and Tane, Julien},
title = {Conceptual Knowledge Processing with Formal Concept
Analysis and Ontologies},
booktitle = {Concept Lattices},
publisher = {Springer},
year = {2004},
volume = {2961},
pages = {189--207},
url = {http://dx.doi.org/10.1007/978-3-540-24651-0_18}
}
|
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| Cimiano, P., Hotho, A., Stumme, G. & Tane, J. | Conceptual Knowledge Processing with Formal Concept Analysis and Ontologies [BibTeX] |
2004 | Concept Lattices | inproceedings | URL |
BibTeX:
@inproceedings{cimiano2004concept,
author = {Cimiano, Philipp and Hotho, Andreas and Stumme, Gerd and Tane, Julien},
title = {Conceptual Knowledge Processing with Formal Concept Analysis and Ontologies},
booktitle = {Concept Lattices},
publisher = {Springer},
year = {2004},
volume = {2961},
pages = {189-207},
url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2004/cimiano2004concept.pdf}
}
|
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| Cimiano, P., Hotho, A., Stumme, G. & Tane, J. | Conceptual Knowledge Processing with Formal Concept Analysis and Ontologies | 2004 | Concept Lattices | inproceedings | URL |
| Abstract: Among many other knowledge representations formalisms, Ontologies
d Formal Concept Analysis (FCA) aim at modeling 'concepts'. We scuss how these two formalisms may complement another from an plication point of view. In particular, we will see how FCA can used to support Ontology Engineering, and how ontologies can be ploited in FCA applications. The interplay of FCA and ontologies studied along the life cycle of an ontology: i) FCA can support the building of the ontology as a earning technique. ii) The established ontology can be analyzed and navigated by sing techniques of FCA. iii) Last but not least, the ontology may be used to improve an FCA pplication. |
|||||
BibTeX:
@inproceedings{cimiano2004concept,
author = {Cimiano, Philipp and Hotho, Andreas and Stumme, Gerd and Tane, Julien},
title = {Conceptual Knowledge Processing with Formal Concept Analysis and Ontologies},
booktitle = {Concept Lattices},
publisher = {Springer},
year = {2004},
volume = {2961},
pages = {189-207},
url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2004/cimiano2004concept.pdf}
}
|
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| Cimiano, P., Hotho, A. & Staab, S. | Learning Concept Hierarchies from Text Corpora using Formal Concept Analysis [BibTeX] |
2004 | techreport | URL | |
BibTeX:
@techreport{cimianpo_hotho_staab_OL_FCA_04,
author = {Cimiano, Philipp and Hotho, Andreas and Staab, Steffen},
title = {Learning Concept Hierarchies from Text Corpora using Formal Concept Analysis},
year = {2004},
url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2004/techOntologylearningFCA.pdf}
}
|
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| Cimiano, P., Staab, S. & Tane, J. | Automatic Acquisition of Taxonomies from Text: FCA meets NLP [BibTeX] |
2003 | Proceedings of the ECML/PKDD Workshop on Adaptive Text Extraction and Mining, Cavtat-Dubrovnik, Croatia | inproceedings | URL |
BibTeX:
@inproceedings{cimiano2003automaticb,
author = {Cimiano, Philipp and Staab, Steffen and Tane, Julien},
title = {Automatic Acquisition of Taxonomies from Text: FCA meets NLP},
booktitle = {Proceedings of the ECML/PKDD Workshop on Adaptive Text Extraction and Mining, Cavtat-Dubrovnik, Croatia},
year = {2003},
pages = {10-17},
url = {\url{http://www.aifb.uni-karlsruhe.de/WBS/pci/ontolearning.pdf}}
}
|
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| Cimiano, P., Staab, S. & Tane, J. | Automatic Acquisition of Taxonomies from Text: FCA meets NLP | 2003 | Proceedings of the ECML / PKDD Workshop on Adaptive Text Extraction and Mining | inproceedings | URL |
| Abstract: We present a novel approach to the automatic acquisition of taxonomies or concept hierarchies from domain-specific texts based on Formal Concept Analysis (FCA). Our approach is based on the assumption that verbs pose more or less strong selectional restrictions on their arguments. The conceptual hierarchy is then built on the basis of the inclusion relations between the extensions of the selectional restrictions of all the verbs, while the verbs themselves provide intensional descriptions for each concept. We formalize this idea in terms of FCA and show how our approach can be used to acquire a concept hierarchy for the tourism domain out of texts. We then evaluate our method by considering an already existing ontology for this domain. | |||||
BibTeX:
@inproceedings{cimiano2003automatic,
author = {Cimiano, Philipp and Staab, Steffen and Tane, Julien},
title = {Automatic Acquisition of Taxonomies from Text: FCA meets NLP},
booktitle = {Proceedings of the ECML / PKDD Workshop on Adaptive Text Extraction and Mining},
year = {2003},
pages = {10--17},
url = {http://www.dcs.shef.ac.uk/~fabio/ATEM03/cimiano-ecml03-atem.pdf}
}
|
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