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    AuthorTitleYearJournal/ProceedingsReftypeDOI/URL
    Limpens, F., Gandon, F. & Buffa, M. Bridging ontologies and folksonomies to leverage knowledge sharing on the social Web: A brief survey

    [Abstract] [BibTeX]

    		 2008 Automated Software Engineering - Workshops, 2008. ASE Workshops 2008. 23rd IEEE/ACM International Conference on, pp. 13-18  article DOI  
    Abstract: Social tagging systems have recently became very popular as a means to classify large sets of resources shared among on-line communities over the social Web. However, the folksonomies resulting from the use of these systems revealed limitations : tags are ambiguous and their spelling may vary, and folksonomies are difficult to exploit in order to retrieve or exchange information. This article compares the recent attempts to overcome these limitations and to support the use of folksonomies with formal languages and ontologies from the Semantic Web.
    BibTeX: 
    @article{4686305,
  author = {Limpens, Freddy and Gandon, Fabien and Buffa, Michel},
  title = {Bridging ontologies and folksonomies to leverage knowledge sharing on the social Web: A brief survey},
  journal = {Automated Software Engineering - Workshops, 2008. ASE Workshops 2008. 23rd IEEE/ACM International Conference on},
  year = {2008},
  pages = {13-18},
  doi = {http://dx.doi.org/10.1109/ASEW.2008.4686305}
}
    Tresp, V., Bundschus, M., Rettinger, A. & Huang, Y. Towards machine learning on the semantic web

    [BibTeX]

    		 2008 Uncertainty Reasoning for the Semantic Web I Lecture Notes in AI  proceedings URL 
    BibTeX: 
    @proceedings{30474,
  author = {Tresp, Volker and Bundschus, Markus and Rettinger, Achim and Huang, Yi},
  title = {Towards machine learning on the semantic web},
  journal = {Uncertainty Reasoning for the Semantic Web I Lecture Notes in AI},
  publisher = {Springer},
  year = {2008},
  url = {http://wwwbrauer.informatik.tu-muenchen.de/~trespvol/papers/LearningRDF23.pdf}
}
    Zhou, L. Ontology learning: state of the art and open issues

    [Abstract] [BibTeX]

    		 2007 Information Technology and Management
    Vol. 8(3), pp. 241-252     		 article URL 
    Abstract: Abstract  Ontology is one of the fundamental cornerstones of the semantic Web. The pervasive use of ontologies in information sharing
    d knowledge management calls for efficient and effective approaches to ontology development. Ontology learning, which seeksto discover ontological knowledge from various forms of data automatically or semi-automatically, can overcome the bottleneckof ontology acquisition in ontology development. Despite the significant progress in ontology learning research over the pastdecade, there remain a number of open problems in this field. This paper provides a comprehensive review and discussion ofmajor issues, challenges, and opportunities in ontology learning. We propose a new learning-oriented model for ontology developmentand a framework for ontology learning. Moreover, we identify and discuss important dimensions for classifying ontology learningapproaches and techniques. In light of the impact of domain on choosing ontology learning approaches, we summarize domaincharacteristics that can facilitate future ontology learning effort. The paper offers a road map and a variety of insightsabout this fast-growing field.
    BibTeX: 
    @article{keyhere,
  author = {Zhou, Lina},
  title = {Ontology learning: state of the art and open issues},
  journal = {Information Technology and Management},
  year = {2007},
  volume = {8},
  number = {3},
  pages = {241--252},
  url = {http://dx.doi.org/10.1007/s10799-007-0019-5}
}
    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
    Vol. 57(6-7), pp. 315-320     		 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}
}
    Brank, J., Grobelnik, M. & Mladenić, D. A Survey of Ontology Evaluation Techniques

    [BibTeX]

    		 2005 Proc. of 8th Int. multi-conf. Information Society, pp. 166-169  inproceedings  
    BibTeX: 
    @inproceedings{brank2005,
  author = {Brank, Janez and Grobelnik, Marko and Mladenić, Dunja},
  title = {A Survey of Ontology Evaluation Techniques},
  booktitle = {Proc. of 8th Int. multi-conf. Information Society},
  year = {2005},
  pages = {166--169}
}
    Gómez-Pérez, A. & Manzano-Macho, D. A survey of ontology learning methods and techniques

    [BibTeX]

    		 2003 (1.5)  techreport URL 
    BibTeX: 
    @techreport{Gomez-Perez_OntoWeb03,
  author = {Gómez-Pérez, Asuncion and Manzano-Macho, David},
  title = {A survey of ontology learning methods and techniques},
  year = {2003},
  number = {1.5},
  url = {http://www.deri.at/fileadmin/documents/deliverables/Ontoweb/D1.5.pdf}
}

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