@article{Hazman:30May2009:1744-2621:24,
  abstract = {Ontologies play a vital role in many web- and internet-related applications. This work presents a system for accelerating the ontology building process via semi-automatically learning a hierarchal ontology given a set of domain-specific web documents and a set of seed concepts. The methods are tested with web documents in the domain of agriculture. The ontology is constructed through the use of two complementary approaches. The presented system has been used to build an ontology in the agricultural domain using a set of Arabic extension documents and evaluated against a modified version of the AGROVOC ontology.},
  author = {Hazman, Maryam and El-Beltagy, Samhaa R. and Rafea, Ahmed},
  doi = {doi:10.1504/IJMSO.2009.026251},
  interhash = {fe27d687bcba91a7a6fe51eec9a2b87d},
  intrahash = {323c8bdedc8a4643232a498ac03d6407},
  journal = {International Journal of Metadata, Semantics and Ontologies},
  pages = {24-33(10)},
  title = {Ontology learning from domain specific web documents},
  url = {http://www.ingentaconnect.com/content/ind/ijmso/2009/00000004/F0020001/art00003},
  volume = 4,
  year = 2009
}

@inproceedings{maedche2002measuring,
  address = {London, UK},
  author = {Maedche, Alexander and Staab, Steffen},
  booktitle = {EKAW '02: Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web},
  file = {:maedche2002measuring.pdf:PDF},
  interhash = {d5b06cd1af41e25a751ab755fb3a0068},
  intrahash = {3a3b029259f39e1e1893012f5e8a7b1e},
  pages = {251--263},
  publisher = {Springer-Verlag},
  title = {Measuring Similarity between Ontologies},
  url = {http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.131.5761&rep=rep1&type=pdf},
  year = 2002
}

@inproceedings{mchale1998comparison,
  abstract = { This paper presents the results of using Roget's International Thesaurus as the taxonomy in a semantic similarity measurement task. Four similarity metrics were taken from the literature and applied to Roget's The experimental evaluation suggests that the traditional edge counting approach does surprisingly well (a correlation of r=0.88 with a benchmark set of human similarity judgements, with an upper bound of r=0.90 for human subjects performing the same task.)},
  author = {McHale, Michael},
  booktitle = {Proceedings of the COLING/ACL Workshop on Usage of WordNet in Natural Language Processing Systems, August 16, 1998, Montreal, Canada},
  editor = {Harabagiu, Sanda and Chai, Joyce Yue},
  interhash = {3759256d578dcab653d72a42dc4a3f0e},
  intrahash = {070f5400952a1847392ce7cd4522eacd},
  publisher = {Association for Computational Linguistics, Morristown, NJ, USA},
  title = {A Comparison of WordNet and Roget's Taxonomy for Measuring Semantic Similarity},
  url = {http://www.citebase.org/abstract?id=oai:arXiv.org:cmp-lg/9809003},
  year = 1998
}

@inproceedings{jarmasz2003rogets,
  abstract = {We have implemented a system that measures semantic similarity using a computerized 1987 Roget's Thesaurus, and evaluated it by performing a few typical tests. We compare the results of these tests with those produced by WordNet-based similarity measures. One of the benchmarks is Miller and Charles� list of 30 noun pairs to which human judges had assigned similarity measures. We correlate these measures with those computed by several NLP systems. The 30 pairs can be traced back to Rubenstein and Goodenough�s 65 pairs, which we have also studied. Our Roget�s-based system gets correlations of .878 for the smaller and .818 for the larger list of noun pairs; this is quite close to the .885 that Resnik obtained when he employed humans to replicate the Miller and Charles experiment. We further evaluate our measure by using Roget�s and WordNet to answer 80 TOEFL, 50 ESL and 300 Reader�s Digest questions: the correct synonym must be selected amongst a group of four words. Our system gets 78.75\%, 82.00\% and 74.33\% of the questions respectively.},
  author = {Jarmasz, Mario and Szpakowicz, Stan},
  booktitle = {Conference on Recent Advances in Natural Language Processing},
  interhash = {e28cc3a4231e064f44cfdb2e3338aaf3},
  intrahash = {acde39a427ef0e7501f07e8b067a88f0},
  pages = {212--219},
  title = {Roget's thesaurus and semantic similarity},
  url = {http://www.site.uottawa.ca/~mjarmasz/pubs/jarmasz_roget_sim.pdf},
  year = 2003
}

@inproceedings{le2007current,
  abstract = {Ontologies are widely used and play important roles in applications related to knowledge management, artificial intelligence, natural language processing, etc. Measuring the semantic similarity between ontological concepts is necessary in applications that use ontologies. This paper presents a survey of approaches to compute ontological concept similarity. A taxonomy showing the classification of approaches is introduced. The advantages and disadvantages of each approach are discussed.},
  author = {Le, Duy Ngan and Goh, A.E.S.},
  doi = {10.1109/SKG.2007.16},
  interhash = {abe9003dbe2bc43bef22e4249f55746a},
  intrahash = {356c507e72532460c1886974fa04d4c4},
  journal = {Semantics, Knowledge and Grid, Third International Conference on},
  month = {Oct.},
  pages = {266-269},
  title = {Current Practices in Measuring Ontological Concept Similarity},
  year = 2007
}

@techreport{benz2004user,
  address = {Freiburg, Germany},
  author = {Benz, Dominik},
  bla = {blub},
  institution = {University of Freiburg},
  interhash = {aeb8ad23a09ff41198efe472b95015d2},
  intrahash = {2841725013ad4f7026fcc1f6920e3da8},
  month = {August},
  pi = {pa},
  title = {User models and Ontologies},
  year = 2004
}

@article{macgregor2006collaborative,
  abstract = {Purpose � The purpose of the paper is to provide an overview of the collaborative tagging phenomenon and explore some of the reasons for its emergence. The paper reviews the related literature and discusses some of the problems associated with, and the potential of, collaborative tagging approaches for knowledge organisation and general resource discovery.  Design/methodology/approach � A definition of controlled vocabularies is proposed and used to assess the efficacy of collaborative tagging. An exposition of the collaborative tagging model is provided and a review of the major contributions to the tagging literature is presented. Findings � There are numerous difficulties with collaborative tagging systems (e.g. low precision, lack of collocation, etc.) that originate from the absence of properties that characterise controlled vocabularies. However, such systems can not be dismissed. Librarians and information professionals have lessons to learn from the interactive and social aspects exemplified by collaborative tagging systems, as well as their success in engaging users with information management. The future co-existence of controlled vocabularies and collaborative tagging is predicted, with each appropriate for use within distinct information contexts: formal and informal. Research limitations/implications � Librarians and information professional researchers should be taking a lead role in research aimed at assessing the efficacy of collaborative tagging in relation to information storage, organisation, and retrieval, and to influence the future development of collaborative tagging systems. Practical implications � The paper indicates clear areas where digital libraries and repositories could innovate in order to better engage users with information. Originality/value � At time of writing there were no literature reviews summarising the main contributions to the collaborative tagging research or debate.},
  author = {Macgregor, George and Mcculloch, Emma},
  file = {macgregor2006collaborative.pdf:macgregor2006collaborative.pdf:PDF},
  interhash = {8d7a458fb6f9ff722c7d02104ec6dbd0},
  intrahash = {583976b7d64ff0b140827342e73e70d2},
  journal = {Library Review},
  lastdatemodified = {2006-07-17},
  lastname = {Macgregor},
  number = 5,
  own = {own},
  pdf = {macgregor06-collaborative.pdf},
  read = {readnext},
  title = {Collaborative Tagging as a Knowledge Organisation and Resource Discovery Tool},
  url = {eprints.rclis.org/archive/00005703/},
  volume = 55,
  year = 2006
}

@book{staab2004handbook,
  bibsource = {DBLP, http://dblp.uni-trier.de},
  booktitle = {Handbook on Ontologies},
  editor = {Staab, Steffen and Studer, Rudi},
  interhash = {494a7427b9dd11496d824c824b35938b},
  intrahash = {28269590c9d9c1660c1d7c98a73a28e1},
  isbn = {3-540-40834-7},
  publisher = {Springer},
  series = {International Handbooks on Information Systems},
  title = {Handbook on Ontologies},
  year = 2004
}

@misc{gruber2005ontology,
  abstract = {Ontologies are enabling technology for the Semantic Web. They are a means for people to state what they mean by formal terms used in data that they might generate or consume. Folksonomies are an emergent phenomenon of the social web. They are created as people associate terms with content that they generate or consume. Recently the two ideas have been put into opposition, as if they were right and left poles of a political spectrum. This piece is an attempt to shed some cool light on the subject, and to preview some new work that applies the two ideas together to enable an Internet ecology for folksonomies.},
  author = {Gruber, Tom},
  file = {gruber2005ontology.pdf:gruber2005ontology.pdf:PDF},
  interhash = {95dcd92534079ba054d4301522ac45f9},
  intrahash = {3179f257b1d843da3ae1de136eec8318},
  lastdatemodified = {2006-07-19},
  lastname = {Gruber},
  longnotes = {[[http://tomgruber.org/writing/tagontology-tagcamp-talk.pdf slides(pdf)]]},
  own = {own},
  pdf = {gruber05-ontology.pdf},
  read = {readnext},
  title = {Ontology of Folksonomy},
  url = {tomgruber.org/writing/ontology-of-folksonomy.htm},
  year = 2005
}

@inproceedings{razmerita2003ontology,
  author = {Razmerita, L. and Angehrn, A. and Maedche, A.},
  booktitle = {Proceedings of the User Modeling Conference},
  interhash = {22705bc1964644b4ae40ec26306eb93e},
  intrahash = {38f46f38f7dd402bbc4192bfe8ce8016},
  location = {Pittsburgh, USA},
  pages = {213--217},
  publisher = {Springer-Verlag},
  title = {Ontology based user modeling for Knowledge Management Systems},
  year = 2003
}

@inproceedings{razmerita2003role,
  author = {Razmerita, L. and Angehrn, A. and Nabeth, T.},
  booktitle = {Proceedings of HCI International},
  interhash = {ecf4fe64704bf2ccad8b0379b1bedbe6},
  intrahash = {3837f07bf684641c483b900ec6e25521},
  location = {Greece},
  pages = {450--456},
  title = {On the role of user models and user modeling in Knowledge Management Systems},
  volume = 2,
  year = 2003
}

@article{middleton2004ontological,
  author = {Middleton, Stuart E. and Shadbolt, Nigel R. and {De Roure}, David C.},
  interhash = {c0bcba5b8f31cfbe434062d77057904e},
  intrahash = {a3516024369f530bcf3fb37d89aea498},
  issn = {1046-8188},
  journal = {ACM Trans. Inf. Syst.},
  number = 1,
  pages = {54--88},
  publisher = {ACM Press},
  title = {Ontological user profiling in recommender systems},
  url = {doi.acm.org/10.1145/963770.963773},
  volume = 22,
  year = 2004
}

@inproceedings{middleton2003capturing,
  author = {Middleton, Stuart E. and Shadbolt, Nigel R. and {De Roure}, David C.},
  booktitle = {Proceedings of the international conference on Knowledge capture},
  interhash = {dbba6859beb8d94bebc21a74140e746d},
  intrahash = {09268a88aba1913bd7901cfb40819f71},
  isbn = {1-58113-583-1},
  location = {Sanibel Island, FL, USA},
  pages = {62--69},
  publisher = {ACM Press},
  title = {Capturing interest through inference and visualization: ontological user profiling in recommender systems},
  url = {doi.acm.org/10.1145/945645.945657},
  year = 2003
}

@inproceedings{middleton2002exploiting,
  author = {Middleton, Stuart E. and Alani, H. and Shadbolt, Nigel R. and {De Roure}, David C.},
  booktitle = {Proceedings of the 11th International World Wide Web Conference WWW-2002},
  interhash = {4aea05259e0bdc2b9001b7ce11c10ac0},
  intrahash = {4e6b8b4a669587d142338c5ccd1be4bb},
  location = {Hawaii, USA},
  title = {Exploiting Synergy Between Ontologies and Recommender System},
  year = 2002
}

@inproceedings{middleton2001capturing,
  author = {Middleton, Stuart E. and {De Roure}, David C. and Shadbolt, Nigel R.},
  booktitle = {Proceedings of the international conference on Knowledge capture},
  interhash = {912fba5e828e72d665ba40e7607f1d97},
  intrahash = {0d38005e912a8511eff1809776ed292f},
  isbn = {1-58113-380-4},
  location = {Victoria, British Columbia, Canada},
  pages = {100--107},
  publisher = {ACM Press},
  title = {Capturing knowledge of user preferences: ontologies in recommender systems},
  url = {doi.acm.org/10.1145/500737.500755},
  year = 2001
}

@techreport{kobsa2001adaptive,
  author = {Kobsa, Alfred},
  institution = {University of California, Irvine},
  interhash = {9b37d4d487c7253e9b417bd9d0cad161},
  intrahash = {c0e571f59148ba509446b11e11c413d3},
  lastdatemodified = {2005-08-08},
  lastname = {Kobsa},
  own = {notown},
  read = {notread},
  title = {Adaptive Verfahren - Benutzermodellierung},
  year = 2001
}

@book{hastie2003elements,
  author = {Hastie, T. and Tibshirani, R. and Friedman, J.},
  interhash = {81859d2f50e11fd01fb7fe0f89d030ea},
  intrahash = {303c4013b673eee0be5a9b1ba3b04e3b},
  note = {chapter 10},
  publisher = {Springer},
  title = {The Elements of Statistical learning},
  year = 2003
}

@inproceedings{browne1993experieces,
  address = {Amsterdam, Netherlands, Elsevier},
  author = {Browne, D.},
  booktitle = {M.Schneider-Hufschmidt, T.K�hme and U. Malinowski, eds: Adaptive User Interfaces: Principles and Practise},
  interhash = {acacc5fe06678c664374c3618b7598ee},
  intrahash = {6dd5dbad6a25fc27df6495992439b15b},
  title = {Experieces from the AID Project},
  year = 1993
}

@techreport{benz2004description,
  address = {Germany},
  author = {Benz, Dominik},
  institution = {Institute of Computer Science, University of Freiburg},
  interhash = {b28df619746b25277c6e64645f6f622d},
  intrahash = {2aa54b86f52530fb24eed7b8b776eaa9},
  lastdatemodified = {2007-05-25},
  lastname = {Benz},
  month = {February},
  note = {Elaboration in the context of the Seminar "Semantic Web" by Prof. Lausen, winter term 03/04},
  own = {notown},
  read = {notread},
  title = {Description Logics - the logical foundation of the Semantic Web},
  year = 2004
}

@inproceedings{schmitz2006inducing,
  address = {Edinburgh, Scotland},
  author = {Schmitz, Patrick},
  booktitle = {Collaborative Web Tagging Workshop at WWW 2006},
  file = {schmitz2006inducing.pdf:schmitz2006inducing.pdf:PDF},
  interhash = {1335f4ef87f951e6edf4fd94f885d3a2},
  intrahash = {5a9065e96237a69d95edebc03ccac92d},
  month = may,
  pdf = {schmitz2006inducing.pdf},
  title = {Inducing Ontology from Flickr Tags.},
  year = 2006
}