@article{heidecker2023corner,
  abstract = {Applications using machine learning (ML), such as highly autonomous driving, depend highly on the performance of the ML model. The data amount and quality used for model training and validation are crucial. If the model cannot detect and interpret a new, rare, or perhaps dangerous situation, often referred to as a corner case, we will likely blame the data for not being good enough or too small in number. However, the implemented ML model and its associated architecture also influence the behavior. Therefore, the occurrence of prediction errors resulting from the ML model itself is not surprising. This work addresses a corner case definition from an ML model's perspective to determine which aspects must be considered. To achieve this goal, we present an overview of properties for corner cases that are beneficial for the description, explanation, reproduction, or synthetic generation of corner cases. To define ML corner cases, we review different considerations in the literature and summarize them in a general description and mathematical formulation, whereby the expected relevance-weighted loss is the key to distinguishing corner cases from common data. Moreover, we show how to operationalize the corner case characteristics to determine the value of a corner case. To conclude, we present the extended taxonomy for ML corner cases by adding the input, model, and deployment levels, considering the influence of the corner case properties.},
  author = {Heidecker, Florian and Bieshaar, Maarten and Sick, Bernhard},
  doi = {10.1186/s42467-023-00015-y},
  interhash = {5b1d7bb1c601936a75db0ec2a314bd8b},
  intrahash = {0c4bf55fdaa2f29b7bf25aa1cab45a6c},
  journal = {AI Perspectives & Advances},
  number = 1,
  pages = {1--17},
  title = {Corner Cases in Machine Learning Processes},
  url = {https://aiperspectives.springeropen.com/articles/10.1186/s42467-023-00015-y},
  volume = 6,
  year = 2023
}

@article{broder2002taxonomy,
  abstract = {Classic IR (information retrieval) is inherently predicated on users searching for information, the so-called "information need". But the need behind a web search is often not informational -- it might be navigational (give me the url of the site I want to reach) or transactional (show me sites where I can perform a certain transaction, e.g. shop, download a file, or find a map). We explore this taxonomy of web searches and discuss how global search engines evolved to deal with web-specific needs.},
  acmid = {792552},
  address = {New York, NY, USA},
  author = {Broder, Andrei},
  doi = {10.1145/792550.792552},
  interhash = {1bfc1fd93c01979b73e05ae519a46bce},
  intrahash = {4b51890dd2fd0006042d50e73b725ff5},
  issn = {0163-5840},
  issue_date = {Fall 2002},
  journal = {SIGIR Forum},
  month = sep,
  number = 2,
  numpages = {8},
  pages = {3--10},
  publisher = {ACM},
  title = {A taxonomy of web search},
  url = {http://doi.acm.org/10.1145/792550.792552},
  volume = 36,
  year = 2002
}

@article{golovchinsky2009taxonomy,
  abstract = {People can help other people find information in networked information seeking environments. Recently, many such systems and algorithms have proliferated in industry and in academia. Unfortunately, it is difficult to compare the systems in meaningful ways because they often define collaboration in different ways. In this paper, we propose a model of possible kinds of collaboration, and illustrate it with examples from literature. The model contains four dimensions: intent, depth, concurrency and location. This model can be used to classify existing systems and to suggest possible opportunities for design in this space. },
  author = {Golovchinsky, Gene and Pickens, Jeremy and Back, Maribeth},
  interhash = {724088df605e0999c8c5d71ff522cc12},
  intrahash = {af2e03a464063eb40a1e04389280608c},
  journal = {CoRR},
  title = {A Taxonomy of Collaboration in Online Information Seeking},
  url = {http://arxiv.org/abs/0908.0704},
  volume = {abs/0908.0704},
  year = 2009
}

@inproceedings{quinn2011human,
  abstract = {The rapid growth of human computation within research and industry has produced many novel ideas aimed at organizing web users to do great things. However, the growth is not adequately supported by a framework with which to understand each new system in the context of the old. We classify human computation systems to help identify parallels between different systems and reveal "holes" in the existing work as opportunities for new research. Since human computation is often confused with "crowdsourcing" and other terms, we explore the position of human computation with respect to these related topics.},
  acmid = {1979148},
  address = {New York, NY, USA},
  author = {Quinn, Alexander J. and Bederson, Benjamin B.},
  booktitle = {Proceedings of the 2011 annual conference on Human factors in computing systems},
  doi = {10.1145/1978942.1979148},
  interhash = {f319e8c67a7af1afd804774ccba7b717},
  intrahash = {3524eeb1e7a62c5bfbe0cec74a14af21},
  isbn = {978-1-4503-0228-9},
  location = {Vancouver, BC, Canada},
  numpages = {10},
  pages = {1403--1412},
  publisher = {ACM},
  title = {Human computation: a survey and taxonomy of a growing field},
  url = {http://doi.acm.org/10.1145/1978942.1979148},
  year = 2011
}

@article{springerlink:10.1007/s11557-010-0708-z,
  abstract = {Phellinus gabonensis sp. nov. is described and illustrated on the basis of several collections made in three protected areas of primary rain forest in the western edge of the Guineo–Congolian center of endemism, in Gabon. The species is characterized by resupinate, perennial basidiomes, numerous, straight to commonly apically hooked hymenial setae, and ellipsoid to broadly ellipsoid, thin- to thick-walled, hyaline to yellowish basidiospores. Both the morphology and the phylogenetic inferences based on partial nuc-LSU relate this species to Ph. caribaeo-quercicolus.},
  address = {Berlin / Heidelberg},
  affiliation = {Institut de Recherche en Ecologie Tropicale (IRET, CENAREST), Gros Bouquet, Libreville, Gabon},
  author = {Yombiyeni, Prudence and Douanla-Meli, Clovis and Amalfi, Mario and Decock, Cony},
  doi = {10.1007/s11557-010-0708-z},
  interhash = {1e3fb87586521be4e572d68c398f8c51},
  intrahash = {75844a6af525b94275ee8b8a1a15d03f},
  issn = {1617-416X},
  issue = {3},
  journal = {Mycological Progress},
  keyword = {Biomedical and Life Sciences},
  pages = {351-362},
  publisher = {Springer},
  title = {Poroid Hymenochaetaceae from Guineo–Congolian rainforest: Phellinus gabonensis sp. nov. from Gabon – taxonomy and phylogenetic relationships},
  url = {http://dx.doi.org/10.1007/s11557-010-0708-z},
  volume = 10,
  year = 2011
}

@article{douanlameli2005notes,
  abstract = {Eight species of Discomycetes in the orders Helotiales and Pezizales are reported from Mbalmayo rain forest reserve in southern Cameroon. Families represented include the Geoglossaceae (Trichoglossum hirsutum), Otideaceae (Scutellinia colensoi and S. scutellata), Sarcoscyphaceae (Cookeina colensoi, C. insititia, C. speciosa and C. tricholoma), Sarcosomataceae (Galiella celebica). All species except C. speciosa and C. tricholoma are reported from Cameroon for the first time. Two new species C. globosa and Microstoma camerunensis are proposed. Descriptions, illustrations and discussions are provided.},
  author = {Douanla-Meli, C. and Langer, E.},
  interhash = {4a2278cafe2107bfa4420057b63ccc95},
  intrahash = {4ffe938cf313aacbd998c4b8c881c95e},
  journal = {Mycotaxon},
  month = {Apr-Jun},
  pages = {223-237},
  title = {Notes on Discomycetes (Helotiales, Pezizales): New species and new records from Cameroon},
  url = {/brokenurl#<Go to ISI>://000230538200021},
  volume = 92,
  year = 2005
}

@article{noauthororeditor,
  author = {Douanla Meli, C. and Langer, E.},
  interhash = {f2a8d1bd46dd4fb56aeb4f20b920ccf0},
  intrahash = {8174ee772ee97d6b2860c13d77ac68b5},
  journal = {Mycotaxon},
  pages = {389-394},
  title = {A new species of Lignosus (Polyporaceae) from Cameroon},
  volume = 86,
  year = 2003
}

@article{douanlameli2009ganoderma,
  abstract = {A new species Ganoderma carocalcareus (Basidiomycota, Ganodermataceae) was collected on living trunk and dead stumps of Anthocleista nobilis (Gentianaceae) in waterlogged swamps in the Mbalmayo Forest Reserve, Cameroon, and identified on the basis of morphology and phylogenetic analyses inferred from mitochondrial small subunit (mtSSU) and internal transcribed spacer (ITS1-5.8S-ITS2) rDNA sequences. Distinct phenotypic characteristics of the new species are dimorphism of basidiomata and variability in context structure and texture over developmental stages. The young basidiomata is ungulate to punk-shaped with context composed of vegetative hyphae attended by scattered, orbicular, smooth, thick-walled chlamydospores, and the mature basidiomata is cushion- to bracket-like with context entirely consisting of chlamydospores masses. This ontogeny intimates the origin of chlamydospores, for which the biogenesis correlates the vanishing of vegetative hyphae throughout the basidiomata maturation. Morphological comparison included Tomophagus colossus (=G. colossus), G. subamboinense and G. weberianum, the known Ganodermataceae species producing chlamydospores and or gasterospores in basidiomata tissues, and G. resinaceum, the closest species with regard to morphology. It followed that G. carocalcareus could not be assigned to these or any other known Ganoderma species. Analyses of mtSSU and ITS rDNA sequence data resolved G. carocalcareus in the G. resinaceum group as a distinct species, but being a close relative of both G. subamboinense and G. weberianum.},
  author = {Douanla-Meli, C. and Langer, E.},
  interhash = {92c1d083e7489c3aceca6dcc831d3477},
  intrahash = {375dd1b6631efaf37613ec681aedfc46},
  journal = {Mycological Progress},
  month = may,
  number = 2,
  pages = {145-155},
  title = {Ganoderma carocalcareus sp nov., with crumbly-friable context parasite to saprobe on Anthocleista nobilis and its phylogenetic relationship in G-resinaceum group},
  url = {/brokenurl#<Go to ISI>://000265307400007},
  volume = 8,
  year = 2009
}

@article{douanlameli2007studies,
  abstract = {new species of Hymenochaetaceae, Phylloporia resupinatus, and two new species of Polyporaceae, Coriolopsis antleroides and Nigroporus stipitatus, are described and illustrated from material collected in the Mbalmayo Forest Reserve, Cameroon. C. anderoides is characterised by antler-like, digitate to coralloid erect protuberances on the pileus surface and thick-walled basidiospores, N. stipitatus closely related to N. vinosus is distinctly stipitate, or forms at least a short lateral stipe, whereas P. resupinatus found on dead bark of Entandrophragma cylindricum, has a resupinate habit with dimitic hyphal system. Keys to species of Nigroporus and Phylloporia are provided.},
  author = {Douanla-Meli, C. and Ryvarden, L. and Langer, E.},
  interhash = {7f7df01bd5b6752c8101785cad6e061c},
  intrahash = {3e3945cffa3459c260b1065cd654d76a},
  journal = {Nova Hedwigia},
  month = may,
  number = {3-4},
  pages = {409-420},
  title = {Studies of tropical African pore fungi (Basidiomycota, Aphyllophorales): three new species from Cameroon},
  url = {/brokenurl#<Go to ISI>://000246117900007},
  volume = 84,
  year = 2007
}

@article{binder2005phylogenetic,
  abstract = {Phylogenetic relationships of resupinate Homobasidiomycetes (Corticiaceae s. lat. and others) were studied using ribosomal DNA (rDNA) sequences from a broad sample of resupinate and nonresupinate taxa. Two datasets were analysed using parsimony, a'core'dataset of 142 species, each of which is represented by four rDNA regions (mitochondrial and nuclear large and small subunits), and a 'full' clataset of 656 species, most of which were represented only by nuclear large subunit rDNA sequences. Both datasets were analysed using traditional heuristic methods with bootstrapping, and the full clataset was also analysed with the Parsimony Ratchet, using equal character weights and six-parameter weighted parsimony. Analyses of both datasets supported monophyly of the eight major clades of Homobasicliomycetes recognised by Hibbett and Thorn, as well as independent lineages corresponding to the Gloeophyllum clade, corticioid clade and jaapia argillacea. Analyses of the full clataset resolved two additional groups, the athelioid clade and trechisporoid clade (the latter may be nested in the polyporoid clade). Thus, there are at least 12 independent clades of Homobasicliomycetes. Higher-level relationships among the major clades are not resolved with confidence. Nevertheless, the euagarics clade, bolete clade, athelioid clade and jaapia argillacea are consistently resolved as a monophyletic group, whereas the cantharelloid clade, gomphoid-phalloid clade and hymenochaetoid clade are placed at the base of the Homobasidiomycetes, which is consistent with the preponderance of imperforate parenthesomes in those groups. Resupinate forms occur in each of the major clades of Homobasidiomycetes, some of which are composed mostly or exclusively of resupinate forms (athelioid clade, corticioid clade, trechisporoid clade,jaapia). The largest concentrations of resupinate forms occur in the polyporoid clade, russuloid clade and hymenochaetoid clade. The cantharelloid clade also includes many resupinate forms, including some that have traditionally been regarded as heterobasidiomycetes (Sebacinaceae, Tulasnellates, Ceratobasidiales). The euagarics clade, which is by far the largest clade in the Homobasidiomycetes, has the smallest fraction of resupinate species. Results of the present study are compared with recent phylogenetic analyses, and a table summarising the phylogenetic distribution of resupinate taxa is presented, as well as notes on the ecology of resupinate forms and related Homobasidiomycetes.},
  author = {Binder, M. and Hibbett, D. S. and Larsson, K. H. and Larsson, E. and Langer, E. and Langer, G.},
  interhash = {35bd7f6066d30b80cb445969c9aa3ae4},
  intrahash = {a22933b7525f34cc68071d25347e4519},
  journal = {Systematics and Biodiversity},
  month = jun,
  number = 2,
  pages = {113-157},
  title = {The phylogenetic distribution of resupinate forms across the major clades of mushroom-forming fungi (Homobasidiomycetes)},
  url = {/brokenurl#<Go to ISI>://000231684600001},
  volume = 3,
  year = 2005
}

@misc{capocci2007taxonomy,
  abstract = { In this paper we investigate the nature and structure of the relation between imposed classifications and real clustering in a particular case of a scale-free network given by the on-line encyclopedia Wikipedia. We find a statistical similarity in the distributions of community sizes both by using the top-down approach of the categories division present in the archive and in the bottom-up procedure of community detection given by an algorithm based on the spectral properties of the graph. Regardless the statistically similar behaviour the two methods provide a rather different division of the articles, thereby signaling that the nature and presence of power laws is a general feature for these systems and cannot be used as a benchmark to evaluate the suitability of a clustering method.},
  author = {Capocci, A. and Rao, F. and Caldarelli, G.},
  interhash = {df8a20aa40cce46aa0adf4f6360664dc},
  intrahash = {9c69bc97d22b7e5c2d90d8765b491a16},
  title = {Taxonomy and clustering in collaborative systems: the case of the on-line encyclopedia Wikipedia},
  url = {http://www.citebase.org/abstract?id=oai:arXiv.org:0710.3058},
  year = 2007
}

@inproceedings{cimiano2003automaticb,
  author = {Cimiano, Philipp and Staab, Steffen and Tane, Julien},
  booktitle = {Proceedings of the ECML/PKDD Workshop on Adaptive Text Extraction and Mining, Cavtat-Dubrovnik, Croatia},
  interhash = {2f9df79fa0d890faa91dc1d0d0def735},
  intrahash = {c62b4e1dc65490d68bef7eaed01f83ea},
  lastdatemodified = {2007-03-22},
  lastname = {Cimiano},
  own = {notown},
  pages = {10-17},
  pdf = {cimiano03-automatic.pdf},
  read = {notread},
  title = {Automatic Acquisition of Taxonomies from Text: FCA meets NLP},
  url = {\url{http://www.aifb.uni-karlsruhe.de/WBS/pci/ontolearning.pdf}},
  year = 2003
}

@article{eda2009effectiveness,
  abstract = {In this paper, we evaluate the effectiveness of a semantic smoothing technique to organize folksonomy tags. Folksonomy tags have no explicit relations and vary because they form uncontrolled vocabulary. We discriminates so-called subjective tags like “cool�? and “fun�? from folksonomy tags without any extra knowledge other than folksonomy triples and use the level of tag generalization to form the objective tags into a hierarchy.We verify that entropy of folksonomy tags is an effective measure for discriminating subjective folksonomy tags. Our hierarchical tag allocation method guarantees the number of children nodes and increases the number of available paths to a target node compared to an existing tree allocation method for folksonomy tags.},
  author = {Eda, Takeharu and Yoshikawa, Masatoshi and Uchiyama, Toshio and Uchiyama, Tadasu},
  ee = {http://dx.doi.org/10.1007/s11280-009-0069-1},
  file = {eda2009effectiveness.pdf:eda2009effectiveness.pdf:PDF},
  groups = {public},
  interhash = {a560796c977bc7582017f662bf88c16d},
  intrahash = {ec3c256e7d1f24cd9d407d3ce7e41d96},
  journal = {World Wide Web},
  journalpub = {1},
  number = 4,
  pages = {421-440},
  timestamp = {2010-08-15 15:00:40},
  title = {The Effectiveness of Latent Semantic Analysis for Building Up a Bottom-up Taxonomy from Folksonomy Tags.},
  url = {http://dblp.uni-trier.de/db/journals/www/www12.html#EdaYUU09},
  username = {dbenz},
  volume = 12,
  year = 2009
}

@incollection{haridas2009exploring,
  abstract = {The outgrowth of social networks in the recent years has resulted in opportunities for interesting data mining problems, such as interest or friendship recommendations. A global ontology over the interests specified by the users of a social network is essential for accurate recommendations. We propose, evaluate and compare three approaches to engineering a hierarchical ontology over user interests. The proposed approaches make use of two popular knowledge bases, Wikipedia and Directory Mozilla, to extract interest definitions and/or relationships between interests. More precisely, the first approach uses Wikipedia to find interest definitions, the latent semantic analysis technique to measure the similarity between interests based on their definitions, and an agglomerative clustering algorithm to group similar interests into higher level concepts. The second approach uses the Wikipedia Category Graph to extract relationships between interests, while the third approach uses Directory Mozilla to extract relationships between interests. Our results show that the third approach, although the simplest, is the most effective for building a hierarchy over user interests.},
  address = {Berlin / Heidelberg},
  affiliation = {Kansas State University Nichols Hall Manhattan KS 66502},
  author = {Haridas, Mandar and Caragea, Doina},
  booktitle = {On the Move to Meaningful Internet Systems: OTM 2009},
  doi = {10.1007/978-3-642-05151-7_35},
  editor = {Meersman, Robert and Dillon, Tharam and Herrero, Pilar},
  file = {haridas2009exploring.pdf:haridas2009exploring.pdf:PDF},
  groups = {public},
  interhash = {2363d3cb1430a4b279692e1ff3413809},
  intrahash = {982538ff1fd44d2c3296b700eac859b3},
  pages = {1238-1245},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  timestamp = {2010-10-18 15:53:06},
  title = {Exploring Wikipedia and DMoz as Knowledge Bases for Engineering a User Interests Hierarchy for Social Network Applications},
  url = {http://dx.doi.org/10.1007/978-3-642-05151-7_35},
  username = {dbenz},
  volume = 5871,
  year = 2009
}

@techreport{heymann2006collaborative,
  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},
  file = {heymann2006collaborative.pdf:heymann2006collaborative.pdf:PDF},
  groups = {public},
  institution = {Computer Science Department, Standford University},
  interhash = {d77846b40aadb0e25233cabf905bb93e},
  intrahash = {a6010ad0fef7cb1442298402ebb979b6},
  lastdatemodified = {2007-04-27},
  lastname = {Heymann},
  month = {April},
  own = {own},
  pdf = {heyman06-collaborative.pdf},
  read = {notread},
  timestamp = {2007-05-25 16:05:53},
  title = {Collaborative Creation of Communal Hierarchical Taxonomies in Social Tagging Systems},
  url = {dbpubs.stanford.edu:8090/pub/2006-10},
  username = {dbenz},
  year = 2006
}

@inproceedings{marlow2006position,
  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 photosharing 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.},
  address = {Edinburgh, Scotland},
  author = {Marlow, Cameron and Naaman, Mor and Boyd, Danah and Davis, Marc},
  booktitle = {Proceedings of the Collaborative Web Tagging Workshop at the WWW 2006},
  file = {marlow2006position.pdf:marlow2006position.pdf:PDF},
  groups = {public},
  interhash = {7446351e0d902ee4f36fb750f82c50a5},
  intrahash = {d9f433de0945351fa2157c1424d9fe67},
  lastdatemodified = {2006-07-17},
  lastname = {Marlow},
  month = May,
  own = {own},
  pdf = {marlow06-tagging.pdf},
  read = {readnext},
  timestamp = {2007-09-11 13:31:31},
  title = {{Position Paper, Tagging, Taxonomy, Flickr, Article, ToRead}},
  url = {http://.rawsugar.com/www2006/cfp.html},
  username = {dbenz},
  year = 2006
}

@inproceedings{ponzetto2007deriving,
  abstract = {We take the category system inWikipedia as a conceptual network. We label the semantic relations between categories using methods based on connectivity in the network and lexicosyntactic matching. As a result we are able to derive a large scale taxonomy containing a large amount of subsumption, i.e. isa, relations. We evaluate the quality of the created resource by comparing it with ResearchCyc, one of the largest manually annotated ontologies, as well as computing semantic similarity between words in benchmarking datasets.},
  author = {Ponzetto, Simone Paolo and Strube, Michael},
  booktitle = {AAAI},
  crossref = {conf/aaai/2007},
  date = {2007-09-05},
  file = {ponzetto2007deriving.pdf:ponzetto2007deriving.pdf:PDF},
  groups = {public},
  interhash = {bc3a144ed8d3f2941359ae97a5b93194},
  intrahash = {5db72406c5681facd7ad47895937d86e},
  isbn = {978-1-57735-323-2},
  pages = {1440-1445},
  publisher = {AAAI Press},
  timestamp = {2010-03-30 16:07:36},
  title = {Deriving a Large-Scale Taxonomy from Wikipedia.},
  url = {http://dblp.uni-trier.de/db/conf/aaai/aaai2007.html#PonzettoS07},
  username = {dbenz},
  year = 2007
}

@article{eda2009effectiveness,
  abstract = {In this paper, we evaluate the effectiveness of a semantic smoothing technique to organize folksonomy tags. Folksonomy tags have no explicit relations and vary because they form uncontrolled vocabulary. We discriminates so-called subjective tags like “cool” and “fun” from folksonomy tags without any extra knowledge other than folksonomy triples and use the level of tag generalization to form the objective tags into a hierarchy. We verify that entropy of folksonomy tags is an effective measure for discriminating subjective folksonomy tags. Our hierarchical tag allocation method guarantees the number of children nodes and increases the number of available paths to a target node compared to an existing tree allocation method for folksonomy tags.},
  author = {Eda, Takeharu and Yoshikawa, Masatoshi and Uchiyama, Toshio and Uchiyama, Tadasu},
  doi = {10.1007/s11280-009-0069-1},
  interhash = {a560796c977bc7582017f662bf88c16d},
  intrahash = {ec3c256e7d1f24cd9d407d3ce7e41d96},
  issn = {1386-145X},
  journal = {World Wide Web},
  number = 4,
  pages = {421--440},
  publisher = {Springer Netherlands},
  title = {The Effectiveness of Latent Semantic Analysis for Building Up a Bottom-up Taxonomy from Folksonomy Tags.},
  url = {http://dx.doi.org/10.1007/s11280-009-0069-1},
  volume = 12,
  year = 2009
}

@article{journals/www/EdaYUU09,
  author = {Eda, Takeharu and Yoshikawa, Masatoshi and Uchiyama, Toshio and Uchiyama, Tadasu},
  ee = {http://dx.doi.org/10.1007/s11280-009-0069-1},
  interhash = {a560796c977bc7582017f662bf88c16d},
  intrahash = {ec3c256e7d1f24cd9d407d3ce7e41d96},
  journal = {World Wide Web},
  number = 4,
  pages = {421-440},
  title = {The Effectiveness of Latent Semantic Analysis for Building Up a Bottom-up Taxonomy from Folksonomy Tags.},
  url = {http://dblp.uni-trier.de/db/journals/www/www12.html#EdaYUU09},
  volume = 12,
  year = 2009
}

@misc{citeulike:484851,
  abstract = {We describe online collaborative communities by tripartite networks,
    the nodes being persons, items and tags. We introduce projection
    methods in order to uncover the structures of the networks, i.e.
    communities of users, genre families... <br />To do so, we focus
    on the correlations between the nodes, depending on their profiles,
    and use percolation techniques that consist in removing less correlated
    links and observing the shaping of disconnected islands. The structuring
    of the network is visualised by using a tree representation. The
    notion of diversity in the system is also discussed.},
  author = {Lambiotte, R. and Ausloos, M.},
  citeulike-article-id = {484851},
  comment = {Paper about the three parts USERS, RESOURCES and TAGS.},
  eprint = {cs.DS/0512090},
  interhash = {7a9dab1c733e8e1982d5f91979749ce9},
  intrahash = {65c6f348a54f872fb3e60b4bd64b485b},
  month = dec,
  note = {{\tt arXiv:cs.DS/0512090}},
  priority = {3},
  title = {Collaborative tagging as a tripartite network},
  url = {http://arxiv.org/abs/cs.DS/0512090},
  year = 2005
}