Author | Title | Year | Journal/Proceedings | Reftype | DOI/URL |
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Jäschke, R. & Rudolph, S. | Attribute Exploration on the Web | 2013 | Contributions to the 11th International Conference on Formal Concept Analysis | inproceedings | URL |
Abstract: We propose an approach for supporting attribute exploration by web information retrieval, in particular by posing appropriate queries to search engines, crowd sourcing systems, and the linked open data cloud. We discuss underlying general assumptions for this to work and the degree to which these can be taken for granted. | |||||
BibTeX:
@inproceedings{jaschke2013attribute, author = {Jäschke, Robert and Rudolph, Sebastian}, title = {Attribute Exploration on the Web}, booktitle = {Contributions to the 11th International Conference on Formal Concept Analysis}, year = {2013}, pages = {19--34}, url = {http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-113133} } |
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Krause, B., Jäschke, R., Hotho, A. & Stumme, G. | Logsonomy - Social Information Retrieval with Logdata | 2008 | HT '08: Proceedings of the Nineteenth ACM Conference on Hypertext and Hypermedia | inproceedings | DOIURL |
Abstract: Social bookmarking systems constitute an established rt of the Web 2.0. In such systems ers describe bookmarks by keywords lled tags. The structure behind these social stems, called folksonomies, can be viewed a tripartite hypergraph of user, tag and resource des. This underlying network shows ecific structural properties that explain its owth and the possibility of serendipitous ploration. day’s search engines represent the gateway retrieve information from the World Wide b. Short queries typically consisting of o to three words describe a user’s information ed. In response to the displayed sults of the search engine, users click on e links of the result page as they expect e answer to be of relevance. is clickdata can be represented as a folksonomy which queries are descriptions of icked URLs. The resulting network structure, ich we will term logsonomy is very milar to the one of folksonomies. In order find out about its properties, we analyze e topological characteristics of the tripartite pergraph of queries, users and bookmarks a large snapshot of del.icio.us and query logs of two large search engines. l of the three datasets show small world operties. The tagging behavior of users, ich is explained by preferential attachment the tags in social bookmark systems, is flected in the distribution of single query rds in search engines. We can conclude at the clicking behaviour of search engine ers based on the displayed search results d the tagging behaviour of social bookmarking ers is driven by similar dynamics. |
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BibTeX:
@inproceedings{krause2008logsonomy, author = {Krause, Beate and Jäschke, Robert and Hotho, Andreas and Stumme, Gerd}, title = {Logsonomy - Social Information Retrieval with Logdata}, booktitle = {HT '08: Proceedings of the Nineteenth ACM Conference on Hypertext and Hypermedia}, publisher = {ACM}, year = {2008}, pages = {157--166}, url = {http://portal.acm.org/citation.cfm?id=1379092.1379123&coll=ACM&dl=ACM&type=series&idx=SERIES399&part=series&WantType=Journals&title=Proceedings%20of%20the%20nineteenth%20ACM%20conference%20on%20Hypertext%20and%20hypermedia}, doi = {http://doi.acm.org/10.1145/1379092.1379123} } |
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Ducrou, J., Vormbrock, B. & Eklund, P. W. | FCA-based Browsing and Searching of a Collection of Images [BibTeX] |
2006 | Proc. of the 14 th Int. Conference on Conceptual Structures | inproceedings | |
BibTeX:
@inproceedings{ducrou2006FCA, author = {Ducrou, J. and Vormbrock, B. and Eklund, P. W.}, title = {{FCA}-based Browsing and Searching of a Collection of Images}, booktitle = {Proc. of the 14 th Int. Conference on Conceptual Structures}, publisher = {Springer-Verlag}, year = {2006} } |
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FCA-based Browsing and Searching of a Collection of Images [BibTeX] |
2006 | Proc. of the 14 th Int. Conference on Conceptual Structures | inproceedings | ||
BibTeX:
@inproceedings{ducrou2006FCA,, title = {FCA-based Browsing and Searching of a Collection of Images}, booktitle = {Proc. of the 14 th Int. Conference on Conceptual Structures}, publisher = {Springer-Verlag}, year = {2006} } |
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Hotho, A., Jäschke, R., Schmitz, C. & Stumme, G. | Information Retrieval in Folksonomies: Search and Ranking [BibTeX] |
2006 | Proceedings of the 3rd European Semantic Web Conference | inproceedings | |
BibTeX:
@inproceedings{hotho2006information, author = {Hotho, Andreas and J{\"a}schke, Robert and Schmitz, Christoph and Stumme, Gerd}, title = {Information Retrieval in Folksonomies: Search and Ranking}, booktitle = {Proceedings of the 3rd European Semantic Web Conference}, publisher = {Springer}, year = {2006}, pages = {411-426} } |
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Hotho, A., Jäschke, R., Schmitz, C. & Stumme, G. | Information Retrieval in Folksonomies: Search and Ranking [BibTeX] |
2006 | The Semantic Web: Research and Applications | inproceedings | |
BibTeX:
@inproceedings{hotho2006information, author = {Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd}, title = {Information Retrieval in Folksonomies: Search and Ranking}, booktitle = {The Semantic Web: Research and Applications}, publisher = {Springer}, year = {2006}, volume = {4011}, pages = {411-426} } |
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Hotho, A., J�schke, R., Schmitz, C. & Stumme, G. | Information Retrieval in Folksonomies: Search and Ranking [BibTeX] |
2006 | The Semantic Web: Research and Applications | inproceedings | |
BibTeX:
@inproceedings{hotho2006information, author = {Hotho, Andreas and J�schke, Robert and Schmitz, Christoph and Stumme, Gerd}, title = {Information Retrieval in Folksonomies: Search and Ranking}, booktitle = {The Semantic Web: Research and Applications}, publisher = {Springer}, year = {2006}, volume = {4011}, pages = {411-426} } |
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Cole, R. J., Eklund, P. W. & Stumme, G. | Document Retrieval for Email Search and Discovery using Formal Concept Analysis | 2003 | Journal of Applied Artificial Intelligence (AAI) | article | URL |
Abstract: This paper discusses an document discovery tool based on
nceptual clustering by formal concept analysis. The program lows users to navigate email using a visual lattice metaphor ther than a tree. It implements a virtual file structure over ail where files and entire directories can appear in multiple sitions. The content and shape of the lattice formed by the nceptual ontology can assist in email discovery. The system scribed provides more flexibility in retrieving stored emails an what is normally available in email clients. The paper scusses how conceptual ontologies can leverage traditional cument retrieval systems and aid knowledge discovery in document llections. |
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BibTeX:
@article{cole03document, author = {Cole, Richard J. and Eklund, Peter W. and Stumme, Gerd}, title = {Document Retrieval for Email Search and Discovery using Formal Concept Analysis}, journal = {Journal of Applied Artificial Intelligence (AAI)}, year = {2003}, volume = {17}, number = {3}, pages = {257-280}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2003/AAI03_emails.pdf} } |
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Ferber, R. | Information Retrieval: Suchmodelle und Data-Mining-Verfahren für Textsammlungen und das Web [BibTeX] |
2003 | book | URL | |
BibTeX:
@book{ferber2003information, author = {Ferber, Reginald}, title = {Information Retrieval: Suchmodelle und Data-Mining-Verfahren für Textsammlungen und das Web}, publisher = {dpunkt Verlag}, year = {2003}, url = {http://information-retrieval.de/} } |
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Hotho, A., Staab, S. & Stumme, G. | Wordnet improves text document clustering [BibTeX] |
2003 | Proc. SIGIR Semantic Web Workshop | inproceedings | URL |
BibTeX:
@inproceedings{hotho03wordnet, author = {Hotho, A and Staab, S. and Stumme, G.}, title = {Wordnet improves text document clustering}, booktitle = {Proc. SIGIR Semantic Web Workshop}, year = {2003}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2003/hotho2003wordnet.pdf} } |
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Sarwar, B. M., Karypis, G., Konstan, J. A. & Riedl, J. | Item-based collaborative filtering recommendation algorithms. [BibTeX] |
2001 | WWW | inproceedings | URL |
BibTeX:
@inproceedings{conf/www/SarwarKKR01, author = {Sarwar, Badrul M. and Karypis, George and Konstan, Joseph A. and Riedl, John}, title = {Item-based collaborative filtering recommendation algorithms.}, booktitle = {WWW}, year = {2001}, pages = {285-295}, url = {http://dblp.uni-trier.de/db/conf/www/www2001.html#SarwarKKR01} } |
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Baeza-Yates, R. A. & Ribeiro-Neto, B. A. | Modern Information Retrieval [BibTeX] |
1999 | book | URL | |
BibTeX:
@book{books/aw/Baeza-YatesR99, author = {Baeza-Yates, Ricardo A. and Ribeiro-Neto, Berthier A.}, title = {Modern Information Retrieval}, publisher = {ACM Press / Addison-Wesley}, year = {1999}, url = {http://www.ischool.berkeley.edu/~hearst/irbook/glossary.html} } |
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Stumme, G. | Dual Retrieval in Conceptual Information Systems [BibTeX] |
1999 | Datenbanksysteme in Büro, Technik und Wissenschaft. Proc. BTW'99 | inproceedings | URL |
BibTeX:
@inproceedings{stumme99dual, author = {Stumme, Gerd}, title = {Dual Retrieval in Conceptual Information Systems}, booktitle = {Datenbanksysteme in Büro, Technik und Wissenschaft. Proc. BTW'99}, year = {1999}, pages = {328-342}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/1999/P2021-BTW99.pdf} } |
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Readings in Information Retrieval [BibTeX] |
1997 | book | |||
BibTeX:
@book{sparck-jones+willett97,, title = {Readings in Information Retrieval}, publisher = {Morgan Kaufmann}, year = {1997} } |
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Carpineto, C. & Romano, G. | A lattice conceptual clustering system and its application to browsing retrieval | 1996 | Machine Learning | article | URL |
Abstract: The theory of concept (or Galois) lattices provides a simple and formal approach to conceptual clustering. In this paper we present GALOIS, a system that automates and applies this theory. The algorithm utilized by GALOIS to build a concept lattice is incremental and efficient, each update being done in time at most quadratic in the number of objects in the lattice. Also, the algorithm may incorporate background information into the lattice, and through clustering, extend the scope of the theory. The application we present is concerned with information retrieval via browsing, for which we argue that concept lattices may represent major support structures. We describe a prototype user interface for browsing through the concept lattice of a document-term relation, possibly enriched with a thesaurus of terms. An experimental evaluation of the system performed on a medium-sized bibliographic database shows good retrieval performance and a significant improvement after the introduction of background knowledge.
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BibTeX:
@article{keyhere, author = {Carpineto, Claudio and Romano, Giovanni}, title = {A lattice conceptual clustering system and its application to browsing retrieval}, journal = {Machine Learning}, year = {1996}, volume = {24}, number = {2}, pages = {95--122}, url = {http://dx.doi.org/10.1007/BF00058654} } |
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Lang, K. | NewsWeeder: learning to filter netnews [BibTeX] |
1995 | Proceedings of the 12th International Conference on Machine Learning | inproceedings | URL |
BibTeX:
@inproceedings{lang95newsweeder, author = {Lang, Ken}, title = {News{W}eeder: learning to filter netnews}, booktitle = {Proceedings of the 12th International Conference on Machine Learning}, publisher = {Morgan Kaufmann publishers Inc.: San Mateo, CA, USA}, year = {1995}, pages = {331--339}, url = {http://citeseer.ist.psu.edu/lang95newsweeder.html} } |
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Voorhees, E. M. | Query Expansion Using Lexical-Semantic Relations. [BibTeX] |
1994 | SIGIR | inproceedings | URL |
BibTeX:
@inproceedings{conf/sigir/Voorhees94, author = {Voorhees, Ellen M.}, title = {Query Expansion Using Lexical-Semantic Relations.}, booktitle = {SIGIR}, year = {1994}, pages = {61-69}, url = {http://dblp.uni-trier.de/db/conf/sigir/sigir94.html#Voorhees94} } |
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van Rijsbergen, C. J. | Information retrieval [BibTeX] |
1979 | book | URL | |
BibTeX:
@book{rijsbergen79information, author = {van Rijsbergen, C. J.}, title = {Information retrieval}, publisher = {Butterworths}, year = {1979}, edition = {2}, url = {http://www.dcs.gla.ac.uk/Keith/Preface.html} } |
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