@article{staab2002emergent,
  author = {Staab, S. and Santini, S. and Nack, F. and Steels, L. and Maedche, A.},
  interhash = {4bdf6565939f3a3563deaff00c93615b},
  intrahash = {c8f3c61c114cd2aca75c08f05216a569},
  journal = {Intelligent Systems, IEEE},
  number = 1,
  pages = {78--86},
  publisher = {IEEE},
  title = {Emergent semantics},
  volume = 17,
  year = 2002
}

@incollection{cimiano2004learning,
  abstract = {We present a novel approach to the automatic acquisition of taxonomic relations. The main difference to earlier approaches is that we do not only consider one single source of evidence, i.e. a specific algorithm or approach, but examine the possibility of learning taxonomic relations by considering various and heterogeneous forms of evidence. In particular, we derive these different evidences by using well-known NLP techniques and resources and combine them via two simple strategies. Our approach shows very promising results compared to other results from the literature. The main aim of the work presented in this paper is (i) to gain insight into the behaviour of different approaches to learn taxonomic relations, (ii) to provide a first step towards combining these different approaches, and (iii) to establish a baseline for further research.},
  author = {Cimiano, P. and Schmidt-Thieme, L. and Pivk, A. and Staab, S.},
  booktitle = {Ontology Learning from Text: Methods, Applications and Evaluation},
  editor = {Buitelaar, P. and Cimiano, P. and Magnini, B.},
  file = {cimiano2004learning.pdf:cimiano2004learning.pdf:PDF},
  groups = {public},
  interhash = {456dca134a65c911721b0520a96e2352},
  intrahash = {967508b78e610182ff57251eced2912d},
  number = 123,
  pages = {59--73},
  publisher = {IOS Press},
  series = {Frontiers in Artificial Intelligence and Appl},
  timestamp = {2011-02-02 14:21:11},
  title = {Learning Taxonomic Relations from Heterogeneous Evidence},
  url = {http://www.aifb.uni-karlsruhe.de/Publikationen/showPublikation_english?publ_id=746},
  username = {dbenz},
  year = 2004
}

@article{maedche2005ontology,
  abstract = {he Semantic Web relies heavily on formal ontologies to structure data for comprehensive and transportable machine understanding. Thus, the proliferation of ontologies factors largely in the Semantic Web’s success. Ontology learning greatly helps ontology engineers construct ontologies. The vision of ontology learning that we propose includes a number of complementary disciplines that feed on different types of unstructured, semistructured, and fully structured data to support semiautomatic, cooperative ontology engineering. Our ontology- learning framework proceeds through ontology import, extraction, pruning, refinement, and evaluation, giving the ontology engineer coordinated tools for ontology modeling. Besides the general framework and architecture, this article discusses techniques in the ontology-learning cycle that we implemented in our ontology-learning environment, such as ontology learning from free text, dictionaries, and legacy ontologies. We also refer to other techniques for future implementation, such as reverse engineering of ontologies from database schemata or learning from XML documents.},
  author = {Maedche, A. and Staab, S.},
  file = {maedche2005ontology.pdf:maedche2005ontology.pdf:PDF},
  groups = {public},
  interhash = {77b7223b737581bba0f4819b1de46b73},
  intrahash = {29f44c4032ba381ec36fb5d0f36a1955},
  issn = {1541-1672},
  journal = {Intelligent Systems, IEEE},
  journalpub = {1},
  number = 2,
  pages = {72--79},
  publisher = {IEEE},
  timestamp = {2010-11-10 10:43:24},
  title = {Ontology learning for the semantic web},
  url = {http://scholar.google.de/scholar.bib?q=info:4sWpt0uwOjkJ:scholar.google.com/&output=citation&hl=de&as_sdt=2000&ct=citation&cd=0},
  username = {dbenz},
  volume = 16,
  year = 2005
}

@article{cimiano_hotho_staab_2005,
  author = {Cimiano, P. and Hotho, A. and Staab, S.},
  interhash = {4c09568cff62babd362aab03095f4589},
  intrahash = {8299d264161ecd740168c89b781f84ae},
  journal = {Journal of Artificial Intelligence Research},
  number = 1,
  pages = {305-339},
  title = {Learning Concept Hierarchies from Text Corpora using Formal Concept Analysis},
  url = {http://ontology.csse.uwa.edu.au/reference/browse_paper.php?pid=233281549},
  volume = 24,
  year = 2005
}

@incollection{cimiano05learning,
  author = {Cimiano, P. and Schmidt-Thieme, L. and Pivk, A. and Staab, S.},
  booktitle = {Ontology Learning from Text: Methods, Applications and Evaluation},
  editor = {Buitelaar, P. and Cimiano, P. and Magnini, B.},
  interhash = {456dca134a65c911721b0520a96e2352},
  intrahash = {d7e8a967de046f396e2155c4b099e660},
  number = 123,
  pages = {59--73},
  publisher = {IOS Press},
  series = {Frontiers in Artificial Intelligence and Appl},
  title = {Learning Taxonomic Relations from Heterogeneous Evidence},
  url = {http://www.aifb.uni-karlsruhe.de/Publikationen/showPublikation_english?publ_id=746},
  year = 2005
}

@incollection{cimiano2009ontology,
  abstract = {Ontology learning techniques serve the purpose of supporting an ontology
engineer in the task of creating and maintaining an ontology. In this chapter, we present a comprehensive and concise introduction to the field of ontology learning.
We present a generic architecture for ontology learning systems and discuss its main components. In addition, we introduce the main problems and challenges addressed in the field and give an overview of the most important methods applied. We conclude with a brief discussion of advanced issues which pose interesting challenges to the state-of-the-art.},
  author = {Cimiano, P. and Mädche, A. and Staab, S. and Völker, J.},
  booktitle = {Handbook on Ontologies},
  edition = {2nd revised edition},
  editor = {Staab, S. and Studer, R.},
  interhash = {5387f28040285a086ab706bc33e7d7af},
  intrahash = {f9f8bb0af1a8a514c270f83237313ac7},
  pages = {245--267},
  publisher = {Springer},
  series = {International Handbooks on Information Systems},
  title = {Ontology Learning},
  url = {http://www.uni-koblenz.de/~staab/Research/Publications/2009/handbookEdition2/ontology-learning-handbook2.pdf},
  year = 2009
}

@inproceedings{schmitz02accessing,
  address = {Norfolk},
  author = {Schmitz, C. and Staab, S. and Studer, R. and Stumme, G. and Tane, J.},
  booktitle = {Proc. of E-Learning 2002 World Conference on E-Learning in Corporate,     Government, Healthcare and Higher Education on (E-Learning 2002)},
  editor = {Driscoll, M. and Reeves, T.C.},
  interhash = {654b9a08b2bc09cf44dfe51840371e23},
  intrahash = {d366e42880a2d2991cbfa6abc53b8fe4},
  note = {{A}warded paper},
  pages = {909-915},
  privnote = {alpha},
  title = {Accessing Distributed Learning Repositories through a Courseware
    Watchdog},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2002/E-Learn02.pdf},
  volume = {AACE},
  year = 2002
}

@inproceedings{hotho03wordnet,
  address = {Toronto},
  author = {Hotho, A and Staab, S. and Stumme, G.},
  booktitle = {Proc. SIGIR Semantic Web Workshop},
  comment = {alpha},
  interhash = {c2a9a89ce20cef90a1e78d34dc2c2afe},
  intrahash = {04c7d86337d68e4ed9ae637029c43414},
  privnote = {alpha},
  title = {Wordnet improves text document clustering},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2003/hotho2003wordnet.pdf},
  year = 2003
}

@article{346336,
  address = {New York, NY, USA},
  author = {Staab, S. and Angele, J. and Decker, S. and Erdmann, M. and Hotho, A. and Maedche, A. and Schnurr, H.-P. and Studer, R. and Sure, Y.},
  doi = {http://dx.doi.org/10.1016/S1389-1286(00)00039-6},
  interhash = {93e9f10176d9f06be1658ff793f7c2ea},
  intrahash = {46b6d5dd3788371c719decd0c2d4897e},
  issn = {1389-1286},
  journal = {Comput. Netw.},
  number = {1-6},
  pages = {473--491},
  publisher = {Elsevier North-Holland, Inc.},
  title = {Semantic community Web portals},
  url = {http://portal.acm.org/citation.cfm?id=346241.346336&coll=GUIDE&dl=GUIDE&CFID=7705918&CFTOKEN=32369470},
  volume = 33,
  year = 2000
}

@incollection{cimiano2005learning,
  author = {Cimiano, P. and Pivk, A. and Schmidt-Thieme, L. and Staab, S.},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  booktitle = {Ontology Learning from Text: Methods, Evaluation and Applications},
  interhash = {8f1c78468e37c5551b008389cfeda627},
  intrahash = {9e994a5af5f635a3153999c2466f5fea},
  isbn = {3-540-24525-1},
  pages = {59-73},
  publisher = {IOS Press},
  series = {Frontiers in Artificial Intelligence},
  title = {Learning Taxonomic Relations from Heterogeneous Sources of Evidence},
  url = {{http://www.aifb.uni-karlsruhe.de/WBS/pci/OLP_Book_Cimiano.pdf}},
  year = 2005
}

@inproceedings{hotho_pkdd03,
  author = {Hotho, A. and Staab, S. and Stumme, G.},
  booktitle = {Proc. of the 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD},
  interhash = {cf66183151a5d94a0941ac6d5089ae89},
  intrahash = {c1bb26aa5d4801542f832ffab70c82e5},
  pages = {217-228},
  series = {LNCS},
  title = {Explaining Text Clustering Results using Semantic Structures},
  volume = 2838,
  year = 2003
}

@article{citeulike:86466,
  abstract = {The article discusses ways to let semantics emerge from simple observations from the bottom-up, rather than imposing concepts on the observations top-down, to provide precise query, retrieval, communication or translation for a wide variety of applications. The following areas are examined: image retrieval and databases; media information spaces including the Semantic Web and MPEG frameworks; language games for emergent semantics; and emergent semantics for ontologies},
  author = {Staab, S. and Santini, S. and Nack, F. and Steels, L. and Maedche, A.},
  citeulike-article-id = {86466},
  interhash = {4bdf6565939f3a3563deaff00c93615b},
  intrahash = {c8b992c185d05583064243a071660c5d},
  journal = {Intelligent Systems, IEEE [see also IEEE Expert]},
  number = 1,
  pages = {78--86},
  priority = {2},
  title = {Emergent semantics},
  url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=988491},
  volume = 17,
  year = 2002
}

@inproceedings{bozsak02kaon,
  author = {Bozsak, E. and Ehrig, M. and Handschuh, S. and Hotho, A. and Maedche, A. and Motik, B. and Oberle, D. and Schmitz, Ch. and Staab, S. and Stojanovic, L. and Stojanovic, N. and Studer, R. and Stumme, G. and Sure, Y. and Tane, J. and Volz, R. and Zacharias, V.},
  booktitle = {Proc. of the 3rd Intl. Conf. on E-Commerce and Web Technologies (EC-Web 2002)},
  comment = {alpha},
  editor = {Bauknecht, K. and Tjoa, A. Min and Quirchmayr, G.},
  interhash = {940750309ac472ea48a712e16b5d902a},
  intrahash = {1c7a959ea95158348d99c9922c53fe66},
  pages = {304-313},
  title = {{KAON} -- Towards a Large Scale Semantic Web},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2002/EC-Web02.pdf},
  year = 2002
}

@inproceedings{hotho03wordnet,
  address = {Toronto},
  author = {Hotho, A and Staab, S. and Stumme, G.},
  booktitle = {Proc. SIGIR Semantic Web Workshop},
  comment = {alpha},
  interhash = {c2a9a89ce20cef90a1e78d34dc2c2afe},
  intrahash = {04c7d86337d68e4ed9ae637029c43414},
  title = {Wordnet improves text document clustering},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2003/hotho2003wordnet.pdf},
  year = 2003
}

@inproceedings{kaon_def2002,
  address = {Berlin},
  author = {Bozsak, E. and Ehrig, M. and Handschuh, S. and Hotho, A. and Maedche, A. and Motik, B. and Oberle, D. and Schmitz, C. and Staab, S. and Stojanovic, L. and Stojanovic, N. and Studer, R. and Stumme, G. and Sure, Y. and Tane, J. and Volz, R. and Zacharias, V.},
  booktitle = {E-Commerce and Web Technologies, Third International Conference, EC-Web 2002, Proceedings},
  editor = {Bauknecht, K. and Tjoa, A. Min and Quirchmayr, G.},
  interhash = {940750309ac472ea48a712e16b5d902a},
  intrahash = {d92e8045430c4cfe096d515455a23921},
  location = {Aix-en-Provence, France},
  pages = {304--313},
  publisher = {Springer},
  series = {LNCS},
  title = {KAON - Towards a Large Scale Semantic Web},
  volume = 2455,
  year = 2002
}

@techreport{hothoetal2003,
  author = {Hotho, A. and Staab, S. and Stumme, G.},
  institution = {Institute AIFB, Universität Karlsruhe},
  interhash = {0bc7c3fc1273355f45c8970a7ea58f97},
  intrahash = {424a43b2ec8c865c1d66ca23440b1ac7},
  note = {36 pages},
  title = {Text Clustering Based on Background Knowledge},
  url = {http://www.kde.cs.uni-kassel.de/hotho/pub/hotho_etal_techreport425.pdf},
  year = 2003
}

@inproceedings{hotho_sigir03,
  address = {Toronto, Canada},
  author = {Hotho, A. and Staab, S. and Stumme, G.},
  booktitle = {Proc. of the SIGIR 2003 Semantic Web Workshop},
  interhash = {c2a9a89ce20cef90a1e78d34dc2c2afe},
  intrahash = {b03e58ecb17c09f8c09d1fd93fb24f90},
  title = {WordNet improves text document clustering},
  url = {http://www.kde.cs.uni-kassel.de/hotho/pub/hothoetal_sigir_ws_sem_web.pdf},
  year = 2003
}

@article{staab02emergent,
  abstract = {The article discusses ways to let semantics emerge from simple observations from the bottom-up, rather than imposing concepts on the observations top-down, to provide precise query, retrieval, communication or translation for a wide variety of applications. The following areas are examined: image retrieval and databases; media information spaces including the Semantic Web and MPEG frameworks; language games for emergent semantics; and emergent semantics for ontologies.},
  author = {Staab, S. and Santini, S. and Nack, F. and Steels, L. and Maedche, A.},
  interhash = {4bdf6565939f3a3563deaff00c93615b},
  intrahash = {c8b992c185d05583064243a071660c5d},
  journal = {Intelligent Systems, IEEE [see also IEEE Expert]},
  number = 1,
  pages = {78--86},
  title = {Emergent semantics},
  url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=988491},
  volume = 17,
  year = 2002
}

@inproceedings{hotho_icdm03,
  author = {Hotho, A. and Staab, S. and Stumme, G.},
  booktitle = {Proc. of the ICDM 03, The 2003 IEEE International Conference on Data Mining},
  interhash = {b56c36d6d9c9ca9e6bd236a0f92415a5},
  intrahash = {8ce56ab228d021b2d7a37bc302bb9a0a},
  pages = {541-544},
  title = {Ontologies Improve Text Document Clustering},
  url = {http://www.kde.cs.uni-kassel.de/hotho/pub/hothoa_icdm_poster03.pdf},
  year = 2003
}

@inproceedings{staab.www9,
  author = {Staab, S. and Angele, J. and Decker, S. and Erdmann, M. and Hotho, A. and Maedche, A. and Schnurr, H.-P. and Studer, R. and Sure, Y.},
  booktitle = {WWW9 --- Proceedings of the 9th International World Wide Web              Conference, Amsterdam, The Netherlands},
  interhash = {93e9f10176d9f06be1658ff793f7c2ea},
  intrahash = {1b5d0eeeebd6bee17a7fb07d89ce476d},
  pages = {473-491},
  publisher = {Elsevier},
  title = {Semantic Community Web Portals},
  year = 2000
}