@inproceedings{952761,
        title = {Ontology-focused crawling of Web documents},
        address = {New York, NY, USA},
        author = {Marc Ehrig and Alexander Maedche},
        booktitle = {SAC '03: Proceedings of the 2003 ACM symposium on Applied computing},
        pages = {1174--1178},
        publisher = {ACM},
        year = 2003,
        url = {http://www.aifb.uni-karlsruhe.de/WBS/meh/publications/ehrig03ontology.pdf},
        location = {Melbourne, Florida},
	isbn = {1-58113-624-2},
	doi = {http://doi.acm.org/10.1145/952532.952761},
	description = {Ontology-focused crawling of Web documents},
	abstract = {The Web, the largest unstructured database of the world, has greatly improved access to documents. However, documents on the Web are largely disorganized. Due to the distributed nature of the World Wide Web it is difficult to use it as a tool for information and knowledge management. Therefore, users doing the difficult task of exploring the Web have to be supported by intelligent means.This paper proposes an approach for document discovery building on a comprehensive framework for ontology-focused crawling of Web documents. Our framework includes means for using a complex ontology and associated instance elements. It defines several relevance computation strategies and provides an empirical evaluation which has shown promising results.},
	biburl = {http://www.bibsonomy.org/bibtex/29d9bcba93b086195f41402c83da3ff07/wnpxrz},
	keywords = {crawling proj:gtf ontology web proj:bk}
}

@article{Gasevic2004Reusing,
        title = {Reusing Petri Nets Through the Semantic Web},
        author = {Dragan Gašević and Vladan Devedžić},
        journal = {The Semantic Web: Research and Applications},
        pages = {284--298},
        year = 2004,
        url = {http://www.springerlink.com/content/d504pjtde9qtwxef},
        description = {SpringerLink - Book Chapter},
	abstract = {The paper presents the Petri net ontology that should enable sharing Petri nets on the Semantic Web. Previous work on formal methods for representing Petri nets mainly defines tool-specific Petri net descriptions (i.e. metamodels) or formats for Petri net model interchange (i.e. syntax). However, such efforts do not provide a suitable model description for using Petri nets on the Semantic Web. This paper uses the Petri net UML model as a starting point for implementing the Petri net ontology. The UML model is then refined using the Protégé ontology development tool and the Ontology UML profile. Resulting Petri net models are represented on the Semantic Web is using XML-based ontology representation languages, Resource Description Framework (RDF) and Web Ontology Language (OWL). We implemented a Petri net software tool as well as tools for the Petri net Semantic Web infrastructure.
ER  -},
	biburl = {http://www.bibsonomy.org/bibtex/2180c4d7d744a2f785f5a9c4e0161f285/wnpxrz},
	keywords = {net semanticweb read owl ontology petri imported av:attached}
}

@misc{gasevic-approaching,
        title = {Approaching OWL and MDA through Technological Spaces},
        author = {Dragan Gasevic and Dragan Djuric and Vladan Devedzic and Violeta Damjanovic},
        year = 2004,
        url = {citeseer.ist.psu.edu/gasevic04approaching.html},
        description = {Approaching OWL and MDA through Technological Spaces (ResearchIndex)},
	biburl = {http://www.bibsonomy.org/bibtex/227dd635a16c3ffb2fb2a8e1fb7553fbf/wnpxrz},
	keywords = {toread ontology proj:o4p mda imported owl}
}

@inproceedings{1013539,
        title = {Converting UML to OWL ontologies},
        address = {New York, NY, USA},
        author = {Dragan Gasevic and Dragan Djuric and Vladan Devedzic and Violeta Damjanovi},
        booktitle = {WWW Alt. '04: Proceedings of the 13th international World Wide Web conference on Alternate track papers \& posters},
        pages = {488--489},
        publisher = {ACM},
        year = 2004,
        url = {http://portal.acm.org/citation.cfm?id=1013539},
        location = {New York, NY, USA},
	isbn = {1-58113-912-8},
	doi = {http://doi.acm.org/10.1145/1013367.1013539},
	description = {Converting UML to OWL ontologies},
	abstract = {This paper presents automatic generation of the Web Ontology Language (OWL) from an UML model. The solution is based on an MDA-defined architecture for ontology development and the Ontology UML Profile (OUP). A conversion, that we present here, transforms an ontology from its OUP definition (i.e. XML Metadata Interchange -- XMI) into OWL description. Accordingly, we illustrate how an OUP-developed ontology can be shared with ontological engineering tools (i.e. Protégé).},
	biburl = {http://www.bibsonomy.org/bibtex/2ae36b691fb9e18df49311191bb1a2a59/wnpxrz},
	keywords = {owl ontology imported uml}
}

@article{keyhere,
        title = {Petri net ontology},
        author = {Dragan Gasevic and Vladan Devedzic},
        journal = {Knowledge-Based Systems},
        month = {#aug#},
        number = 4,
        pages = {220--234},
        volume = 19,
        year = 2006,
        url = {http://www.sciencedirect.com/science/article/B6V0P-4J9MRFP-1/2/b96857ea5354d98896096c69370e208c},
        description = {ScienceDirect - Knowledge-Based Systems : Petri net ontology},
	abstract = {The paper presents the Petri net ontology that enables sharing Petri nets on the Semantic Web. Previous work on formal methods for representing Petri nets mainly defines tool-specific descriptions or formats for model interchange. However, such efforts do not provide a suitable description for using Petri nets on the Semantic Web. This paper uses the Petri net UML model as a starting point for implementing the ontology. Resulting Petri net models are represented on the Semantic Web using XML-based ontology languages, RDF and OWL. We implemented a Petri net tool, P3, which can be used as a knowledge acquisition tool based on the Petri net ontology.},
	biburl = {http://www.bibsonomy.org/bibtex/2989060334d7643a030e100db3fb91b9c/wnpxrz},
	keywords = {proj:o4p semanticweb net toread petri ontology}
}

@article{Gasevic:8July2007:1476-1289:374,
        title = {Interoperable Petri net models via ontology},
        author = {Dragan Gasevic and Vladan Devedzic},
        journal = {International Journal of Web Engineering and Technology},
        pages = {374-396(23)},
        volume = 3,
        year = {8 July 2007},
        url = {http://www.ingentaconnect.com/content/ind/ijwet/2007/00000003/00000004/art00002},
        doi = {doi:10.1504/IJWET.2007.014439},
	description = {IngentaConnect Interoperable Petri net models via ontology},
	abstract = {The paper presents a Petri net infrastructure that should allow sharing Petri nets on the Semantic Web. Previous solutions only provide model interchange mechanisms between Petri net tools. The Petri net ontology is a central part of our solution. The ontology is closely related to the Petri Net Markup Language PNML an ongoing Petri net community sharing effort. We developed the Petri net ontology using both UML and the Protege tool, whereas we use RDF and OWL to represent the ontology. We implemented a Petri net software tool P3 that can be used to convert the Petri net ontology compliant models to the formats of current Petri net tools e.g., DaNAMiCS, Petri Net Kernel, PIPE using eXtensible Stylesheet Language Transformations XSLT. In order to show how the ontology can be used, we developed a simple educational web application that uses RDF-annotated ontology-based Petri net learning materials.},
	biburl = {http://www.bibsonomy.org/bibtex/29b1e7019fa77f0d81f4e68a952e88bcf/wnpxrz},
	keywords = {imported petri proj:o4p toread net ontology}
}

@inproceedings{conf/iis/StaabH03,
        title = {Ontology-based Text Document Clustering.},
        author = {Steffen Staab and Andreas Hotho},
        booktitle = {Intelligent Information Processing and Web Mining, Proceedings of the International IIS: IIPWM'03 Conference held in Zakopane},
        pages = {451-452},
        year = 2003,
        url = {http://dblp.uni-trier.de/db/conf/iis/iis2003.html#StaabH03},
        isbn = {3-540-00843-8},
	description = {dblp},
	biburl = {http://www.bibsonomy.org/bibtex/2d773061117a913428968cc99c6e1ec0f/wnpxrz},
	keywords = {ontology nlp clustering text}
}

@inproceedings{Benz07OL,
        title = {Position Paper: Ontology Learning from Folksonomies.},
        author = {Dominik Benz and Andreas Hotho},
        booktitle = {LWA 2007: Lernen - Wissen - Adaption, Halle, September 2007, Workshop Proceedings (LWA)},
        crossref = {conf/lwa/2007},
        editor = {Alexander Hinneburg},
        pages = {109-112},
        publisher = {Martin-Luther-University Halle-Wittenberg},
        year = 2007,
        url = {http://dblp.uni-trier.de/db/conf/lwa/lwa2007.html#BenzH07},
        isbn = {978-3-86010-907-6},
	date = {2007-11-16},
	description = {dblp},
	biburl = {http://www.bibsonomy.org/bibtex/2ad31989b2393f5d0c4e8be8dbb613141/wnpxrz},
	keywords = {tagging ontology}
}

@inproceedings{laniado07b,
        title = {Using WordNet to turn a folksonomy into a hierarchy of concepts},
        author = {David Laniado and Davide Eynard and Marco Colombetti},
        booktitle = {Semantic Web Application and Perspectives - Fourth Italian Semantic Web Workshop},
        month = {Dec},
        pages = {192--201},
        year = 2007,
        url = {http://home.dei.polimi.it/eynard/papers/swap2007.pdf},
        biburl = {http://www.bibsonomy.org/bibtex/27f7ac73677841b4580461d408e83495a/wnpxrz},
	keywords = {ontology tagging wordnet}
}

@inproceedings{DaHS07,
        title = {FolksOntology: An Integrated Approach for Turning Folksonomies into
	Ontologies},
        author = {C�line Van Damme and Martin Hepp and Katharina Siorpaes},
        booktitle = {Bridging the Gep between Semantic Web and Web 2.0 (SemNet 2007)},
        pages = {57-70},
        year = 2007,
        url = {http://www.kde.cs.uni-kassel.de/ws/eswc2007/proc/FolksOntology.pdf},
        file = {DaHS07.pdf:folksonomies\\DaHS07.pdf:PDF},
	abstract = {We can observe that the amount of non-toy domain ontologies is still
	very limited for many areas of interest. In contrast, folksonomies
	are widely in use for (1) tagging Web pages (e.g. del.icio.us), (2)
	annotating pictures (e.g. flickr), or (3) classifying scholarly publications
	(e.g. bibsonomy). However, such folksonomies cannot offer the expressivity
	of ontologies, and the respective tags often lack a context-independent
	and intersubjective definition of meaning. Also, folksonomies and
	other unsupervised vocabularies frequently suffer from inconsistencies
	and redundancies. In this paper, we argue that the social interaction
	manifested in folksonomies and in their usage should be exploited
	for building and maintaining ontologies. Then, we sketch a comprehensive
	approach for deriving ontologies from folksonomies by integrating
	multiple resources and techniques. In detail, we suggest combining
	(1) the statistical analysis of folksonomies, associated usage data,
	and their implicit social networks, (2) online lexical resources
	like dictionaries, Wordnet, Google and Wikipedia, (3) ontologies
	and Semantic Web resources, (4) ontology mapping and matching approaches,
	and (5) functionality that helps human actors in achieving and maintaining
	consensus over ontology element suggestions resulting from the preceding
	steps.},
	biburl = {http://www.bibsonomy.org/bibtex/276f12c6eccaf91e85db3ce6fb7fed03f/wnpxrz},
	keywords = {ontology tagging}
}

@inproceedings{conf/sww/MiddletonASR02,
        title = {Exploiting Synergy Between Ontologies and Recommender Systems.},
        author = {Stuart E. Middleton and Harith Alani and Nigel Shadbolt and David De Roure},
        booktitle = {Semantic Web Workshop},
        crossref = {conf/sww/2002},
        editor = {Martin Frank and Natasha F. Noy and Steffen Staab},
        publisher = {CEUR-WS.org},
        series = {CEUR Workshop Proceedings},
        volume = 55,
        year = 2002,
        url = {http://dblp.uni-trier.de/db/conf/sww/sww2002.html#MiddletonASR02},
        ee = {http://SunSITE.Informatik.RWTH-Aachen.DE/Publications/CEUR-WS/Vol-55/middleton.pdf},
	date = {2003-04-02},
	description = {dblp},
	biburl = {http://www.bibsonomy.org/bibtex/2816daaef7845122e39b0fbaba9a4ee79/wnpxrz},
	keywords = {recommendersystems ontology}
}

@inproceedings{cim04a,
        title = {Clustering Ontologies from Text},
        address = {Lisbon, Portugal},
        author = {Philipp Cimiano and Andreas Hotho and Steffen Staab},
        booktitle = {Proceedings of the Conference on Languages Resources and Evaluation (LREC)},
        month = {MAY},
        publisher = {ELRA - European Language Ressources Association},
        year = 2004,
        url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2004/lrec04.pdf},
        file = {},
	biburl = {http://www.bibsonomy.org/bibtex/23bc6e5a51dba862da1b7b3b6ac563370/wnpxrz},
	keywords = {nlp ontology}
}

@inproceedings{cim04b,
        title = {Conceptual Knowledge Processing with Formal Concept Analysis and Ontologies},
        author = {Philipp Cimiano and Andreas Hotho and Gerd Stumme and Julien Tane},
        booktitle = {Proceedings of the The Second International Conference on Formal Concept Analysis (ICFCA 04)},
        publisher = {Springer},
        series = {LNCS},
        volume = 2961,
        year = 2004,
        url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2004/icfca04.pdf},
        file = {},
	isbn = {3-540-21043-1},
	biburl = {http://www.bibsonomy.org/bibtex/2ef6665b5a80e7eacd31a18f36408f9e6/wnpxrz},
	keywords = {ontology}
}

@inproceedings{hoser2006semantic,
        title = {Semantic Network Analysis of Ontologies},
        address = {Budva, Montenegro},
        author = {Bettina Hoser and Andreas Hotho and Robert Jäschke and Christoph Schmitz and Gerd Stumme},
        booktitle = {Proceedings of the 3rd European Semantic Web Conference},
        month = {June},
        pages = {514-529},
        publisher = {Springer},
        series = {LNCS},
        volume = 4011,
        year = 2006,
        url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2006/hoser_sna_eswc2005.pdf},
        isbn = {3-540-34544-2},
	vgwort = {29},
	biburl = {http://www.bibsonomy.org/bibtex/285f032bf2ffe9b1b55f8656c8a0d6d70/wnpxrz},
	keywords = {ontology}
}

@misc{TagOnt2005,
        title = {Tag Ontology},
        author = {Richard Newman and Danny Ayers and Seth Russell},
        month = {December},
        year = 2005,
        url = {http://www.holygoat.co.uk/owl/redwood/0.1/tags/},
        abstract = {An ontology that describes tags, as used in the popular del.icio.us and Flickr systems, and allows for relationships between tags to be described.},
	biburl = {http://www.bibsonomy.org/bibtex/2bb08b9c306562a46033632b33e2bb856/wnpxrz},
	keywords = {tagging ontology}
}

@techreport{stumme2003,
        title = {The {Karlsruhe} View on Ontologies},
        author = {Gerd Stumme and Marc Ehrig and Siegrfried Handschuh and Andreas Hotho and Alecander Maedche and Boris Motik and Daniel Oberle and Christoph Schmitz and Steffen staab and Ljiljana Stojanovic and Nenad Stojanovic and Rudi Studer and York Sure and Raphael Volz and Valentin Zacharias},
        institution = {University of Karlsruhe, Institute AIFB},
        year = 2003,
        comment = {meh: ontology definition},
	biburl = {http://www.bibsonomy.org/bibtex/27fb132c25d393d1b3e9dbed5c3f42d08/wnpxrz},
	keywords = {ontology}
}

@article{Sadeghi:2005:Stud-Health-Technol-Inform:16160263,
        title = {Ontology Driven Construction of a Knowledgebase for Bayesian Decision Models Based on UMLS},
        author = {S Sadeghi and A Barzi and J W Smith},
        journal = {Stud Health Technol Inform},
        pages = {223-228},
        volume = 116,
        year = 2005,
        url = {http://www.ncbi.nlm.nih.gov/sites/entrez?Db=pubmed&Cmd=ShowDetailView&TermToSearch=16160263},
        pmid = {16160263},
	doi = {},
	description = {Ontology Driven Construction of a Knowledgebase fo...[Stud Health Technol Inform. 2005] - PubMed Result},
	abstract = {All decision models use some form of language to describe domain elements and their interactions. The terminology is often specific and even unique to the algorithm and is a choice of designers. Nevertheless the domain elements and concepts of any decision problem are almost never unique and are used and reused in many other decision problems. The same is true about the information about those elements in the context of different decision problems. Put together, the information about any given element forms our knowledge about the element and if stored properly in a knowledgebase, can be used and reused as necessary without the need for duplication.In this paper we discuss creation of an ontology using UMLS vocabulary and semantic network that provides an abstract understanding of elements (or objects) in the problem domain. Based on this ontology, a knowledgebase will be constructed that provides further information about the object in relation to another object or objects as described in the semantic links.A knowledgebase structured as such will have the benefit of problem-independence. It can be expanded as needed to include other objects that are used in a different series of problems and therefore, will have a one to many mapping between knowledgebase and decision models. Updating the knowledgebase will update the decision models seamlessly and maintenance will be less of an issue across decision models and within the knowledgebase. We are using this approach in building Bayesian decision models using Bayesian networks; however, this approach is not limited to Bayesian networks and has been and can be used for other decision making purposes.},
	biburl = {http://www.bibsonomy.org/bibtex/24ee8d31844bc59b16701fe1d0f7b9976/wnpxrz},
	keywords = {toread bayesian ontology proj:o4p noaccess imported}
}

@misc{helsper-ontologies,
        title = {Ontologies for Probabilistic Networks},
        author = {Eveline M. Helsper and Linda C. van der Gaag},
        year = 2003,
        url = {citeseer.ist.psu.edu/helsper03ontologies.html},
        description = {Ontologies for Probabilistic Networks (ResearchIndex)},
	biburl = {http://www.bibsonomy.org/bibtex/216d667c9feef75a33ebc64ad898e5aea/wnpxrz},
	keywords = {ontology bayesian proj:o4p toread imported}
}

@article{journals/ao/GuarinoM05,
        title = {Applied Ontology: Focusing on content.},
        author = {Nicola Guarino and Mark A. Musen},
        journal = {Applied Ontology},
        number = 1,
        pages = {1-5},
        volume = 1,
        year = 2005,
        url = {http://dblp.uni-trier.de/db/journals/ao/ao1.html#GuarinoM05},
        ee = {http://iospress.metapress.com/openurl.asp?genre=article&issn=1570-5838&volume=1&issue=1&spage=1},
	date = {2007-11-12},
	description = {dblp},
	biburl = {http://www.bibsonomy.org/bibtex/2fdc36d6b9d93cbbcda22b6a8386e666c/wnpxrz},
	keywords = {toread proj:o4p ontology}
}

@incollection{Guar01,
        title = {An Overview of OntoClean},
        author = {Nicola Guarino and Christopher A. Welty},
        booktitle = {Handbook on Ontologies},
        editor = {S. Staab and R. Studer},
        pages = {151-159},
        publisher = {Springer Verlag},
        year = 2004,
        biburl = {http://www.bibsonomy.org/bibtex/2eace865f9f56a2eb372b2a69eb9abf9f/wnpxrz},
	keywords = {engineering ontology}
}