@article{cimiano2006ontologies,
	title = {Ontologies on Demand? - A Description of the State-of-the-Art, Applications, Challenges and Trends for Ontology Learning from Text},
	author = {Philipp Cimiano and Johanna Völker and Rudi Studer},
	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},
	url = {\url{http://www.aifb.uni-karlsruhe.de/WBS/pci/Publications/iwp06.pdf}},
	volume = {57},
	year = {2006},
	biburl = {http://www.bibsonomy.org/bibtex/2fe4c2950b5be221b493e29e4339240e8/dbenz},
	description = {Institut AIFB - Publikation: Ontologies on Demand? - A Description of the State-of-the-Art, Applications, Challenges and Trends for Ontology Learning from Text},
	keywords = {learning ontology overview }
}

@article{1282,
	title = {Ontologies on Demand? - A Description of the State-of-the-Art, Applications, Challenges and Trends for Ontology Learning from Text},
	author = {Philipp Cimiano and Johanna Völker and Rudi Studer},
	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},
	url = {\url{http://www.aifb.uni-karlsruhe.de/WBS/pci/Publications/iwp06.pdf}},
	volume = {57},
	year = {2006},
	biburl = {http://www.bibsonomy.org/bibtex/2fe4c2950b5be221b493e29e4339240e8/franzkurfess},
	description = {Institut AIFB - Publikation: Ontologies on Demand? - A Description of the State-of-the-Art, Applications, Challenges and Trends for Ontology Learning from Text},
	keywords = {CDM:Ontology-Learning ontologylearning }
}

@misc{cimiano04towards,
	title = {Towards the self-annotating web},
	author = {P. Cimiano and S. Handschuh and S. Staab},
	url = {citeseer.ist.psu.edu/cimiano04towards.html},
	year = {2004},
	biburl = {http://www.bibsonomy.org/bibtex/22a4489379b3af53fc7fa6bfe3121974d/enterldestodes},
	text = {P. Cimiano, S. Handschuh, and S. Staab, `Towards the self-annotating web',
    in Proceedings of the 13th World Wide Web Conference, (2004).},
	keywords = {ontology ontologylearning }
}

@inproceedings{cimiano2003automatic,
	title = {Automatic Acquisition of Taxonomies from Text: FCA meets NLP},
	address = {Cavtat-Dubrovnik, Croatia},
	author = {Philipp Cimiano and Steffen Staab and Julien Tane},
	booktitle = {Proceedings of the ECML / PKDD Workshop on Adaptive Text Extraction and Mining},
	pages = {10-17},
	url = {http://www.dcs.shef.ac.uk/~fabio/ATEM03/cimiano-ecml03-atem.pdf},
	year = {2003},
	biburl = {http://www.bibsonomy.org/bibtex/2573ac0e71d6b1c369cf881ddda8c7841/summerkopi},
	keywords = {TaxonomyConstruction }
}

@inproceedings{cimiano2003automatic,
	title = {Automatic Acquisition of Taxonomies from Text: FCA meets NLP},
	address = {Cavtat-Dubrovnik, Croatia},
	author = {Philipp Cimiano and Steffen Staab and Julien Tane},
	booktitle = {Proceedings of the ECML / PKDD Workshop on Adaptive Text Extraction and Mining},
	pages = {10--17},
	url = {http://www.dcs.shef.ac.uk/~fabio/ATEM03/cimiano-ecml03-atem.pdf},
	year = {2003},
	biburl = {http://www.bibsonomy.org/bibtex/2573ac0e71d6b1c369cf881ddda8c7841/steff83},
	keywords = {evaluation master_thesis ontology_learning taxonomic_overlap }
}

@inproceedings{cimiano2003automatic,
	title = {Automatic Acquisition of Taxonomies from Text: FCA meets NLP},
	address = {Cavtat-Dubrovnik, Croatia},
	author = {Philipp Cimiano and Steffen Staab and Julien Tane},
	booktitle = {Proceedings of the ECML / PKDD Workshop on Adaptive Text Extraction and Mining},
	pages = {10--17},
	url = {http://www.dcs.shef.ac.uk/~fabio/ATEM03/cimiano-ecml03-atem.pdf},
	year = {2003},
	biburl = {http://www.bibsonomy.org/bibtex/2573ac0e71d6b1c369cf881ddda8c7841/dbenz},
	keywords = {ontology_learning taxonomic_overlap }
}

@book{BuitelaarCimianoMagnini2005,
	title = {Ontology Learning from Text: Methods, Evaluation and Applications},
	address = {Amsterdam},
	editor = {Paul Buitelaar and Philipp Cimiano and Bernardo Magnini},
	publisher = {IOS Press},
	series = {Frontiers in Artificial Intelligence and Applications},
	volume = {123},
	year = {2005},
	biburl = {http://www.bibsonomy.org/bibtex/20e71ddd52894af0e681b9d9411f7944f/flint63},
	abstract = {This volume brings together ontology learning, knowledge acquisition
	and other related topics. It presents current research in ontology
	learning, addressing three perspectives. The first perspective looks
	at methodologies that have been proposed to automatically extract
	information from texts and to give a structured organization to such
	knowledge, including approaches based on machine learning techniques.
	Then there are evaluation methods for ontology learning, aiming at
	defining procedures and metrics for a quantitative evaluation of
	the ontology learning task; and finally application scenarios that
	make ontology learning a challenging area in the context of real
	applications such as bio-informatics. According to the three perspectives
	mentioned above, the book is divided into three sections, each including
	a selection of papers addressing respectively the methods, the applications
	and the evaluation of ontology learning approaches.},
	timestamp = {2008.02.05}, file = {IOS Product page:http\://www.iospress.nl/html/9781586035235:URL}, isbn = {978-1-58603-523-5}, owner = {flint},
	keywords = {ai analysis book language learn ontology processing semantic text v0805 web }
}

@book{BuitelaarCimiano2008,
	title = {Ontology Learning and Population: Bridging the Gap between Text and
	Knowledge},
	address = {Amsterdam},
	editor = {Paul Buitelaar and Philipp Cimiano},
	publisher = {IOS Press},
	series = {Frontiers in Artificial Intelligence and Applications},
	volume = {167},
	year = {2008},
	biburl = {http://www.bibsonomy.org/bibtex/26c49dae9157532a01415c35abc7091d1/flint63},
	abstract = {The promise of the Semantic Web is that future web pages will be annotated
	not only with bright colors and fancy fonts as they are now, but
	with annotation extracted from large domain ontologies that specify,
	to a computer in a way that it can exploit, what information is contained
	on the given web page. The presence of this information will allow
	software agents to examine pages and to make decisions about content
	as humans are able to do now. The classic method of building an ontology
	is to gather a committee of experts in the domain to be modeled by
	the ontology, and to have this committee agree on which concepts
	cover the domain, on which terms describe which concepts, on what
	relations exist between each concept and what the possible attributes
	of each concept are. All ontology learning systems begin with an
	ontology structure, which may just be an empty logical structure,
	and a collection of texts in the domain to be modeled. An ontology
	learning system can be seen as an interplay between three things:
	an existing ontology, a collection of texts, and lexical syntactic
	patterns. The Semantic Web will only be a reality if we can create
	structured, unambiguous ontologies that model domain knowledge that
	computers can handle. The creation of vast arrays of such ontologies,
	to be used to mark-up web pages for the Semantic Web, can only be
	accomplished by computer tools that can extract and build large parts
	of these ontologies automatically. This book provides the state-of-art
	of many automatic extraction and modeling techniques for ontology
	building. The maturation of these techniques will lead to the creation
	of the Semantic Web.},
	timestamp = {2008.02.05}, file = {IOS Product page:http\://www.iospress.nl/html/9781586038182:URL}, isbn = {978-1-58603-818-2}, owner = {flint},
	keywords = {ai analysis book language learn ontology processing semantic text v0805 web }
}

@article{OberleAnkolekarEtAl07jws,
	title = {{DOLCE} ergo {SUMO}: On foundational and domain models in the {SmartWeb}
	Integrated Ontology ({SWIntO})},
	author = {Daniel Oberle and Anupriya Ankolekar and Pascal Hitzler and Philipp Cimiano and Michael Sintek and Malte Kiesel and Babak Mougouie and Stephan Baumann and Shankar Vembu and Massimo Romanelli and Paul Buitelaar and Ralf Engel and Daniel Sonntag and Norbert Reithinger and Berenike Loos and Hans-Peter Zorn and Vanessa Micelli and Robert Porzel and Christian Schmidt and Moritz Weiten and Felix Burkhardt and Jianshen Zhou},
	journal = {Web Semantics},
	number = {3},
	pages = {156-174},
	url = {http://dx.doi.org/10.1016/j.websem.2007.06.002},
	volume = {5},
	year = {2007},
	biburl = {http://www.bibsonomy.org/bibtex/21991c7632acb5822084fc962d9740eac/flint63},
	abstract = {Increased availability of mobile computing, such as personal digital
	assistants (PDAs), creates the potential for constant and intelligent
	access to up-to-date, integrated and detailed information from the
	Web, regardless of one's actual geographical position. Intelligent
	question-answering requires the representation of knowledge from
	various domains, such as the navigational and discourse context of
	the user, potential user questions, the information provided by Web
	services and so on, for example in the form of ontologies. Within
	the context of the SmartWeb project, we have developed a number of
	domain-specific ontologies that are relevant for mobile and intelligent
	user interfaces to open-domain question-answering and information
	services on the Web. To integrate the various domain-specific ontologies,
	we have developed a foundational ontology, the SmartSUMO ontology,
	on the basis of the DOLCE and SUMO ontologies. This allows us to
	combine all the developed ontologies into a single SmartWeb Integrated
	Ontology (SWIntO) having a common modeling basis with conceptual
	clarity and the provision of ontology design patterns for modeling
	consistency. In this paper, we present SWIntO, describe the design
	choices we made in its construction, illustrate the use of the ontology
	through a number of applications, and discuss some of the lessons
	learned from our experiences.},
	issn = {1570-8268}, timestamp = {2008.02.05}, file = {Preprint:2007/OberleAnkolekarEtAl07jws.pdf:PDF}, owner = {flint},
	keywords = {ai design dialog multimodal ontology paper semantic smartweb v0805 web }
}

@inproceedings{CimianoHaaseHeizmann07IUI,
	title = {Porting Natural Language Interfaces between Domains: An Experimental
	User Study with the {ORAKEL} System},
	address = {New York, USA},
	author = {Philipp Cimiano and Peter Haase and Jörg Heizmann},
	booktitle = {{IUI '07:} Proceedings of the 12th International Conference on Intelligent
	User Interfaces},
	pages = {180-189},
	publisher = {ACM},
	url = {http://dx.doi.org/10.1145/1216295.1216330},
	year = {2007},
	biburl = {http://www.bibsonomy.org/bibtex/23081fc05e0924c378eba9805f937c8bf/flint63},
	abstract = {We present a user-centered model for porting natural language interfaces
	(NLIs) between domains efficiently. The model assumes that domain
	experts without any background knowledge about computational linguistics
	will perform the customization of the NLI to a specific domain. In
	fact, it merely requires familiarity with the underlying knowledge
	base as well as with a few basic subcategorization types. Our model
	is iterative in the sense that the adaption of the NLI is performed
	in several cycles on the basis of the questions which the NLI failed
	to answer, thus iteratively increasing the coverage of the system.
	We provide experimental evidence in form of a user study as well
	as a case study involving a real-world application corroborating
	that our model is indeed a feasible way of customizing the interface
	to a certain domain.},
	location = {Honolulu, Hawaii, USA}, file = {ACM Digital Library:2007/CimianoHaaseHeizmann07IUI.pdf:PDF}, isbn = {1-595-93481-2},
	keywords = {ai interaction interface knowledge language paper processing user v0805 }
}