@misc{cattuto-2008,
  abstract = { Social bookmarking systems allow users to organise collections of resources on the Web in a collaborative fashion. The increasing popularity of these systems as well as first insights into their emergent semantics have made them relevant to disciplines like knowledge extraction and ontology learning. The problem of devising methods to measure the semantic relatedness between tags and characterizing it semantically is still largely open. Here we analyze three measures of tag relatedness: tag co-occurrence, cosine similarity of co-occurrence distributions, and FolkRank, an adaptation of the PageRank algorithm to folksonomies. Each measure is computed on tags from a large-scale dataset crawled from the social bookmarking system del.icio.us. To provide a semantic grounding of our findings, a connection to WordNet (a semantic lexicon for the English language) is established by mapping tags into synonym sets of WordNet, and applying there well-known metrics of semantic similarity. Our results clearly expose different characteristics of the selected measures of relatedness, making them applicable to different subtasks of knowledge extraction such as synonym detection or discovery of concept hierarchies.},
  author = {Cattuto, Ciro and Benz, Dominik and Hotho, Andreas and Stumme, Gerd},
  interhash = {cc62b733f6e0402db966d6dbf1b7711f},
  intrahash = {78fd64c3db55e6387ebdeb6c40054542},
  title = {Semantic Analysis of Tag Similarity Measures in Collaborative Tagging   Systems},
  url = {http://www.citebase.org/abstract?id=oai:arXiv.org:0805.2045},
  year = 2008
}

@article{McRae:2005:Behav-Res-Methods:16629288,
  abstract = {Semantic features have provided insight into numerous behavioral phenomena concerning concepts, categorization, and semantic memory in adults, children, and neuropsychological populations. Numerous theories and models in these areas are based on representations and computations involving semantic features. Consequently, empirically derived semantic feature production norms have played, and continue to play, a highly useful role in these domains. This article describes a set of feature norms collected from approximately 725 participants for 541 living (dog) and nonliving (chair) basic-level concepts, the largest such set of norms developed to date. This article describes the norms and numerous statistics associated with them. Our aim is to make these norms available to facilitate other research, while obviating the need to repeat the labor-intensive methods involved in collecting and analyzing such norms. The full set of norms may be downloaded from www.psychonomic.org/archive.},
  author = {McRae, K and Cree, G S and Seidenberg, M S and McNorgan, C},
  interhash = {209f2874b49fd74fce1fe0ad645733e2},
  intrahash = {936af12b025e37b0a6aac6bc103f58a3},
  journal = {Behav Res Methods},
  month = Nov,
  number = 4,
  pages = {547-559},
  pmid = {16629288},
  title = {Semantic feature production norms for a large set of living and nonliving things},
  url = {http://www.ncbi.nlm.nih.gov/pubmed/16629288},
  volume = 37,
  year = 2005
}

@inproceedings{Benz07OL,
  author = {Benz, Dominik and Hotho, Andreas},
  booktitle = {LWA 2007: Lernen - Wissen - Adaption, Halle, September 2007, Workshop Proceedings (LWA)},
  crossref = {conf/lwa/2007},
  date = {2007-11-16},
  editor = {Hinneburg, Alexander},
  interhash = {ff7de5717f771dabd764675279ff3adf},
  intrahash = {ad31989b2393f5d0c4e8be8dbb613141},
  isbn = {978-3-86010-907-6},
  pages = {109-112},
  publisher = {Martin-Luther-University Halle-Wittenberg},
  title = {Position Paper: Ontology Learning from Folksonomies.},
  url = {http://dblp.uni-trier.de/db/conf/lwa/lwa2007.html#BenzH07},
  vgwort = {16},
  year = 2007
}

@inproceedings{voelker1:07:eswc,
  author = {Völker, Johanna and Vrandecic, Denny and Sure, York and Hotho, Andreas},
  booktitle = {Proceedings of the European Semantic Web Conference, ESWC2007},
  editor = {Franconi, Enrico and Kifer, Michael and May, Wolfgang},
  interhash = {5a5b17f5657ccff6fa7fd17dae4ae503},
  intrahash = {c5c43ae4a719e6e935a9ca1a4aca906b},
  month = {July},
  publisher = {Springer-Verlag},
  series = {Lecture Notes in Computer Science},
  title = {{Learning Disjointness}},
  url = {http://www.eswc2007.org/pdf/eswc07-voelker1.pdf},
  vgwort = {26},
  volume = 4519,
  year = 2007
}

@inproceedings{cim04b,
  author = {Cimiano, Philipp and Hotho, Andreas and Stumme, Gerd and Tane, Julien},
  booktitle = {Proceedings of the The Second International Conference on Formal Concept Analysis (ICFCA 04)},
  interhash = {e42d9895b0d816f231227f1be15b03dc},
  intrahash = {ef6665b5a80e7eacd31a18f36408f9e6},
  isbn = {3-540-21043-1},
  publisher = {Springer},
  series = {LNCS},
  title = {Conceptual Knowledge Processing with Formal Concept Analysis and Ontologies},
  url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2004/icfca04.pdf},
  volume = 2961,
  year = 2004
}

@inproceedings{cim04a,
  address = {Lisbon, Portugal},
  author = {Cimiano, Philipp and Hotho, Andreas and Staab, Steffen},
  booktitle = {Proceedings of the Conference on Languages Resources and Evaluation (LREC)},
  interhash = {9374d126c328dab48f52854f73d6db4f},
  intrahash = {3bc6e5a51dba862da1b7b3b6ac563370},
  month = MAY,
  publisher = {ELRA - European Language Ressources Association},
  title = {Clustering Ontologies from Text},
  url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2004/lrec04.pdf},
  year = 2004
}

@book{cimiano2006,
  address = {Secaucus, NJ, USA},
  author = {Cimiano, Philipp},
  interhash = {f8a70c22cfd162dc9ad2cd977d79b66c},
  intrahash = {fdfff52cddb448c0094213aff5bcaf31},
  isbn = {0387306323},
  publisher = {Springer-Verlag New York, Inc.},
  title = {Ontology Learning and Population from Text: Algorithms, Evaluation and Applications},
  url = {http://portal.acm.org/citation.cfm?id=1177318},
  year = 2006
}

@book{buitelaar05ontologylearningbook,
  editor = {Buitelaar, Paul and Cimiano, Philipp and Magnini, Bernardo},
  interhash = {9a5beec1eb7d58ead91f134915be86ab},
  intrahash = {0e71ddd52894af0e681b9d9411f7944f},
  month = JUL,
  publisher = {IOS Press},
  series = {Frontiers in Artificial Intelligence},
  title = {Ontology Learning from Text: Methods, Evaluation and Applications},
  volume = 123,
  year = 2005
}

@inproceedings{schmitz06,
  author = {Schmitz, Patrick},
  booktitle = {Collaborative Web Tagging Workshop at WWW2006, Edinburgh, Scotland},
  interhash = {1335f4ef87f951e6edf4fd94f885d3a2},
  intrahash = {77143fd854a06583430afae1371fad71},
  month = May,
  title = {Inducing Ontology from Flickr Tags.},
  url = {http://www.ibiblio.org/www_tagging/2006/22.pdf},
  year = 2006
}

@techreport{citeulike:739394,
  abstract = {Collaborative tagging systems---systems where many casual users annotate objects with free-form strings (tags) of their choosing---have recently emerged as a powerful way to label and organize large collections of data. During our recent investigation into these types of systems, we discovered a simple but remarkably effective algorithm for converting a large corpus of tags annotating objects in a tagging system into a navigable hierarchical taxonomy of tags. We first discuss the algorithm and then present a preliminary model to explain why it is so effective in these types of systems.},
  author = {Heymann, Paul and Garcia-Molina, Hector},
  citeulike-article-id = {739394},
  institution = {Computer Science Department},
  interhash = {d77846b40aadb0e25233cabf905bb93e},
  intrahash = {3b4ce6fd7fa6dbf1c39fd261fa39fcd6},
  month = {April},
  number = {2006-10},
  priority = {3},
  school = {Standford University},
  title = {Collaborative Creation of Communal Hierarchical Taxonomies in Social Tagging Systems},
  url = {http://dbpubs.stanford.edu:8090/pub/2006-10},
  year = 2006
}

@article{maedche+staab.ieee01,
  author = {Maedche, A. and Staab, S.},
  interhash = {d0798c282eab793a48ef70ce0a5572a8},
  intrahash = {2b056b4ff9d1a7a0e1a361c56dae57d3},
  journal = {IEEE Intelligent Systems},
  location = {Santa Barbara, CA},
  number = 2,
  pages = {72--79},
  title = {Ontology Learning for the Semantic Web},
  volume = 16,
  year = 2001
}

@book{Mae02,
  author = {Maedche, A.},
  interhash = {43966e71e781d500e4113ae65dc5d995},
  intrahash = {96ede973960df75cd802cee383f0195c},
  location = {Santa Barbara, CA},
  publisher = {Kluwer},
  title = {Ontology Learning for the Semantic Web},
  year = 2002
}