@article{Schwitter:2010,
  added-at = {2010-02-02T06:23:44.000+0100},
  author = {Schwitter, Rolf},
  biburl = {http://www.bibsonomy.org/bibtex/20932e2fb5271d5103d0361a6a78a67a5/diego_ma},
  interhash = {407effe6f38e0486a223684b05550f6d},
  intrahash = {0932e2fb5271d5103d0361a6a78a67a5},
  journal = {Applied Artificial Intelligence},
  keywords = {controlled_languages ontology},
  number = 1,
  pages = {1-26},
  timestamp = {2010-02-02T06:23:44.000+0100},
  title = {Creating and Querying Formal Ontologies via Controlled Natural Language},
  volume = 24,
  year = 2010
}

@article{ValenciaGarcia:2008,
  abstract = {Vast amounts of medical information reside within text documents, so that the automatic retrieval of such information would certainly be beneficial for clinical activities. The need for overcoming the bottleneck provoked by the manual construction of ontologies has generated several studies and reseach on obtaining semi-automatic methods to build ontologies. Most techniques for learning domain ontologies from free text have important limitations. Thus, they can extract concepts so that only taxonomies are generally produced although there are other types of semantic relations relevant in knowledge modelling. This paper presents a language-independent approach for extracting knowledge from medical natural language documents. The knoledge is represented by means of ontologies that can have multiple semantic relationships among concepts.},
  added-at = {2009-07-06T09:49:33.000+0200},
  author = {Valencia-Garc{\'\i}a, Rafael and Fern{\'a}ndez-Breis, Jesualdo Tom{\'a}s and Ruiz-Mart{\'\i}nez, Juana Mar{\'\i}a and Garc{\'\i}a-S{\'a}nchez, Francisco and Mart{\'\i}nez-B{\'e}jar, Rodrigo},
  biburl = {http://www.bibsonomy.org/bibtex/22709bee9837d063247aaa2240dcdd538/diego_ma},
  interhash = {d401afca26655ded4110a0aa02afe72e},
  intrahash = {2709bee9837d063247aaa2240dcdd538},
  journal = {Expert Systems},
  keywords = {information_retrieval retrieval ontology biomedical},
  library = {Mine (from Juani, July 2009)},
  number = 3,
  pages = {1-19},
  timestamp = {2009-07-06T09:49:33.000+0200},
  title = {A Knowledge Acquisition Methodology to Ontology Construction for Information Retrieval from Medical Documents},
  volume = 25,
  year = 2008
}

@article{Gruber:2007,
  abstract = {Ontologies are enabling technology for the Semantic Web.  They are a means for people to state what they mean by the terms used in data that they might generate, share, or consume.  Folksonomies are an emergent phenomenon of the Social Web. They arise from data about how people associate terms with content that they generate, share, or consume.  Recently the two ideas have been put into opposition, as if they were right and left poles of a political spectrum.  This is a false dichotomy; they are more like apples and oranges. In fact, as the Semantic Web matures and the Social Web grows, there is increasing value in applying Semantic Web technologies to the data of the Social Web. This article is an attempt to clarify the distinct roles for ontologies and folksonomies, and previews some new work that applies the two ideas together - an ontology of folksonomy.},
  added-at = {2008-01-09T06:55:27.000+0100},
  author = {Gruber, Thomas},
  biburl = {http://www.bibsonomy.org/bibtex/247f18413612b3377a1fd7d14795ab189/diego_ma},
  interhash = {1bb300e93509a6505907d68b8b453c16},
  intrahash = {47f18413612b3377a1fd7d14795ab189},
  journal = {Int’l Journal on Semantic Web & Information Systems},
  keywords = {folksonomy ontology},
  number = 2,
  timestamp = {2008-01-09T06:55:27.000+0100},
  title = {Ontology of Folksonomy: A Mash-up of Apples and Oranges},
  url = {http://tomgruber.org/writing/ontology-of-folksonomy.htm},
  volume = 3,
  year = 2007
}

@inproceedings{Zajac:2001,
  abstract = {This paper presents and ontology-based semantic framework to question answering. Both questions and source text are parsed into underspecified semantic expressions where names of semantic atoms and predicates are defined in an interlingual ontology. Answer retrieval is done using subsumption and unification, and queries are expanded incrementally using ontological rules. Ranking of answers is achieved by using graded unification.},
  added-at = {2007-12-14T02:48:38.000+0100},
  address = {Toulouse},
  author = {Zajac, R{\'e}mi},
  biburl = {http://www.bibsonomy.org/bibtex/2a4b43bb88a05f61472a4ea0a66977d77/diego_ma},
  booktitle = {Proc. ACL2001, Workshop on Open Domanin QA},
  interhash = {a3fc0186da98bd15533b9424f559c2b0},
  intrahash = {a4b43bb88a05f61472a4ea0a66977d77},
  keywords = {answer_extraction ontology},
  timestamp = {2007-12-14T02:48:38.000+0100},
  title = {Towards Ontological Question Answering},
  year = 2001
}

@phdthesis{terStal:1996,
  added-at = {2007-12-14T02:46:56.000+0100},
  author = {ter Stal, Wilco},
  biburl = {http://www.bibsonomy.org/bibtex/23e0bb0370c5db91d03deb87369971fe3/diego_ma},
  interhash = {21875df1a3e2c9d11a3b9fd9511cff5e},
  intrahash = {3e0bb0370c5db91d03deb87369971fe3},
  keywords = {NLP ontology nom_compounds},
  school = {Universiteit Twente},
  timestamp = {2007-12-14T02:46:56.000+0100},
  title = {Automated Interpretation of Nominal Compounds in a Technical Domain},
  year = 1996
}

@inproceedings{Staab:2000,
  abstract = {RDF(S) constitutes a newly emerging standard for metadata that is about to turn the World Wide Web into a machine-understandable knowledge base. It is an XML application that allows for the denotation of facts and schemata in a web-compatible format, building on an elaborate object-model for describing concepts and relations. Thus, it might turn up as a natural choice for a widely-useable ontology description language. However, its lack of capabilities for describing the semantics of concepts and relations beyond those provided by inheritance mechanisms makes it a rather weak language for even the most austere knowledge-based system. This paper presents an approach for modeling ontologies in RDF(S) that also considers axioms as objects that are describable in RDF(S). Thus, we provide flexible, extensible, and adequate means for accessing and exchanging axioms in RDF(S). Our approach follows the spirit of the World Wide Web, as we do not assume a global axiom specification language that is too intractable for one purpose and too weak for the next, but rather a methodology that allows (communities of) users to specify what axioms are interesting in their domain.},
  added-at = {2007-12-14T02:46:55.000+0100},
  address = {Lisbon, Portugal},
  author = {Staab, Steffen and Erdmann, Michael and Maedche, Alexander and Decker, Stefan},
  biburl = {http://www.bibsonomy.org/bibtex/2b48e615d6137164ac550437177674b86/diego_ma},
  booktitle = {Proc. ECDL 2000 Workshop on the Semantic Web},
  interhash = {04268d91b98b468bcaa969af6767ba2f},
  intrahash = {b48e615d6137164ac550437177674b86},
  keywords = {semantic_web ontology},
  timestamp = {2007-12-14T02:46:55.000+0100},
  title = {An Extensible Approach for Modelling Ontologies in {RDF(S)}},
  url = {http://www.aifb.uni-karlsruhe.de/WBS/},
  year = 2000
}

@techreport{Noy:2001,
  added-at = {2007-12-14T02:44:34.000+0100},
  author = {Noy, Natalya F. and McGuiness, Deborah L.},
  biburl = {http://www.bibsonomy.org/bibtex/271d2a6a31abcabb75ff519f363fb941c/diego_ma},
  institution = {Stanford University},
  interhash = {0c34d4427609ec285ab05c601428dea3},
  intrahash = {71d2a6a31abcabb75ff519f363fb941c},
  keywords = {ontology},
  timestamp = {2007-12-14T02:44:34.000+0100},
  title = {Ontology Development 101: A Guide to Creating Your First Ontology},
  url = {http://protege.stanford.edu/publications/ontology_development/ontology101.html},
  year = 2001
}

@inproceedings{Marlow:2006,
  abstract = {In recent years, tagging systems have become increasingly popular. These systems enable users to add keywords (i.e., "tags") to Internet resources (e.g., web pages, images, videos) without relying on a controlled vocabulary. Tagging systems have the potential to improve search, spam detection, reputation systems, and personal organization while introducing new modalities of social communication and opportunities for data mining. This potential is largely due to the social structure that underlies many of the current systems.Despite the rapid expansion of applications that support tagging of resources, tagging systems are still not well studied or understood. In this paper, we provide a short description of the academic related work to date. We offer a model of tagging systems, specifically in the context of web-based systems, to help us illustrate the possible benefits of these tools. Since many such systems already exist, we provide a taxonomy of tagging systems to help inform their analysis and design, and thus enable researchers to frame and compare evidence for the sustainability of such systems. We also provide a simple taxonomy of incentives and contribution models to inform potential evaluative frameworks. While this work does not present comprehensive empirical results, we present a preliminary study of the photo-sharing and tagging system Flickr to demonstrate our model and explore some of the issues in one sample system. This analysis helps us outline and motivate possible future directions of research in tagging systems.},
  added-at = {2007-12-14T02:43:00.000+0100},
  address = {New York, NY, USA},
  author = {Marlow, Cameron and Naaman, Mor and Boyd, Danah and Davis, Marc},
  biburl = {http://www.bibsonomy.org/bibtex/2c522d6982d34510925f7abbccfb29e14/diego_ma},
  booktitle = {HYPERTEXT '06: Proceedings of the seventeenth conference on Hypertext and hypermedia},
  interhash = {3cd50bc064b9659829229f42eee284dd},
  intrahash = {c522d6982d34510925f7abbccfb29e14},
  keywords = {web ontology folksonomy},
  pages = {31--40},
  publisher = {ACM Press},
  timestamp = {2007-12-14T02:43:00.000+0100},
  title = {HT06, tagging paper, taxonomy, Flickr, academic article, to read},
  url = {http://portal.acm.org/citation.cfm?id=1149949},
  year = 2006
}

@techreport{Kiryakov:2001,
  abstract = {The goal of the project is to facilitate an easy access, understanding, and reuse of upper-level and general purpose ontologies as well as lexical knowledge bases...},
  added-at = {2007-12-14T02:41:37.000+0100},
  author = {Kiryakov, Atanas},
  biburl = {http://www.bibsonomy.org/bibtex/21d40afecca4adc3faccc34dcb6540dcd/diego_ma},
  institution = {OntoText Lab},
  interhash = {0e5693b9aebeb116e691e226609a8c8c},
  intrahash = {1d40afecca4adc3faccc34dcb6540dcd},
  keywords = {ontology},
  timestamp = {2007-12-14T02:41:37.000+0100},
  title = {OntoMap.ORG},
  url = {http://www.OntoTex.com},
  year = 2001
}