@book{keyhere, title = {Handbook on ontologies}, address = {Berlin; New York}, author = {Steffen Staab and Rudi Studer}, booktitle = {International handbooks on information systems}, pages = {--}, publisher = {Springer}, year = 2004, issn = {3540408347 9783540408345}, refid = {53814725}, description = {Handbook on ontologies [WorldCat.org]}, biburl = {http://www.bibsonomy.org/bibtex/2ad25de339fffcc16870b813b6db00339/hotho}, keywords = {web survey semantic handbook ontology} } @article{1282, title = {Ontologies on Demand? - A Description of the State-of-the-Art, Applications, Challenges and Trends for Ontology Learning from Text}, author = {Philipp Cimiano and Johanna Völker and Rudi Studer}, journal = {Information, Wissenschaft und Praxis}, month = {OCT}, note = {see the special issue for more contributions related to the Semantic Web}, number = {6-7}, pages = {315-320}, volume = 57, year = 2006, url = {\url{http://www.aifb.uni-karlsruhe.de/WBS/pci/Publications/iwp06.pdf}}, description = {Institut AIFB - Publikation: Ontologies on Demand? - A Description of the State-of-the-Art, Applications, Challenges and Trends for Ontology Learning from Text}, biburl = {http://www.bibsonomy.org/bibtex/2fe4c2950b5be221b493e29e4339240e8/hotho}, keywords = {learning toread ontology survey} } @article{Smeulders00CBIR, title = {Content-Based Image Retrieval at the End of the Early Years}, address = {Washington, DC, USA}, author = {Arnold W. M. Smeulders and Marcel Worring and Simone Santini and Amarnath Gupta and Ramesh Jain}, journal = {IEEE Trans. Pattern Anal. Mach. Intell.}, month = {December}, number = 12, pages = {1349--1380}, publisher = {IEEE Computer Society}, volume = 22, year = 2000, url = {http://portal.acm.org/citation.cfm?id=357873}, id = {942093}, issn = {0162-8828}, priority = {2}, at = {2008-04-13 17:14:20}, doi = {10.1109/34.895972}, biburl = {http://www.bibsonomy.org/bibtex/2ff99ff85fdc2224d826dab75df21cf0d/hotho}, keywords = {image survey retrieval ir} } @article{datta2008, title = {Image Retrieval: Ideas, Influences, and Trends of the New Age}, author = {Ritendra Datta and Dhiraj Joshi and Jia Li and James Z. Wang}, journal = {ACM Computing Surveys}, number = 2, volume = 40, year = 2008, url = {http://infolab.stanford.edu/~wangz/project/imsearch/review/JOUR/}, description = {Content Based Image Retrieval CBIR Survey Paper - 2008}, abstract = {We have witnessed great interest and a wealth of promise in content-based image retrieval as an emerging technology. While the last decade laid foundation to such promise, it also paved the way for a large number of new techniques and systems, got many new people involved, and triggered stronger association of weakly related fields. In this paper, we survey almost 300 key theoretical and empirical contributions in the current decade related to image retrieval and automatic image annotation, and discuss the spawning of related sub-fields in the process. We also discuss significant challenges involved in the adaptation of existing image retrieval techniques to build systems that can be useful in the real-world. In retrospect of what has been achieved so far, we also conjecture what the future may hold for image retrieval research.}, biburl = {http://www.bibsonomy.org/bibtex/2278a48194bc9afbd298c36dd497a9821/hotho}, keywords = {retrieval images survey ir} } @inproceedings{domingos2003, title = {Research on Statistical Relational Learning at the University of Washington}, author = {P. Domingos and Y. Abe and C. Anderson and A. Doan and D. Fox and A. Halevy and G. Hulten and H. Kautz and T. Lau and L. Liao and J. Madhavan and Mausam and D. Patterson and M. Richardson and S. Sanghai and D. Weld and S. Wolfman}, booktitle = {Proceedings of the IJCAI-2003 Workshop on Learning Statistical Models from Relational Data}, year = 2003, url = {http://www.cs.washington.edu/homes/pedrod/papers/srl03a.pdf}, location = {Acapulco, Mexico: IJCAII}, description = {Statistical Relational Learning}, biburl = {http://www.bibsonomy.org/bibtex/21a4c5b5688b4295ad19bd72295c25ba2/hotho}, keywords = {survey srl} } @inproceedings{neville2003srl, title = {Statistical relational learning: Four claims and a survey}, author = {J. Neville and M. Rattigan and D. Jensen}, booktitle = {Proceedings of the Workshop on Learning Statistical Models from Relational Data, Eighteenth International Joint Conference on Artificial Intelligence}, year = 2003, url = {http://kdl.cs.umass.edu/papers/neville-et-al-srl2003.pdf}, date = {(2003)}, description = {Jensen - SRL 2003}, abstract = {Statistical relational learning (SRL) research has made significant progress over the last 5 years. We have successfully demonstrated the feasibility of a number of probabilistic models for relational data, including probabilistic relational models, Bayesian logic programs, and relational probability trees, and the interest in SRL isgrowing. However, in order to sustain and nurture the growth of SRL as a subfield we need to refocus our efforts on the science of machine learning — moving from demonstrations to comparative and ablation studies. We will outline four assertions that are implicit to SRL research but which have been only minimally evaluated. We hope to stimulate discussion as to how, as a community, these claims can be addressed in future research.}, biburl = {http://www.bibsonomy.org/bibtex/26f4fe9dc01547709202ad6556423e863/hotho}, keywords = {survey ***** srl} } @article{ide98wsd, title = {{Introduction to the Special Issue on Word Sense Disambiguation: The State of the Art}}, author = {N. Ide and J. Véronis}, journal = {Computational Linguistics}, number = 1, pages = {1--40}, volume = 24, year = 1998, biburl = {http://www.bibsonomy.org/bibtex/27ec15face46e6b45586701c7fed93eab/hotho}, keywords = {word disambiguation survey sense wsd nlp} } @article{crestani1997spreading, title = {Application of Spreading Activation Techniques in Information Retrieval}, author = {F. Crestani}, journal = {Artificial Intelligence Review}, month = {December}, number = 6, pages = {453--482}, volume = 11, year = 1997, url = {http://dx.doi.org/10.1023/A:1006569829653}, description = {SpringerLink - Zeitschriftenbeitrag}, abstract = {This paper surveys the use of Spreading Activation techniques onSemantic Networks in Associative Information Retrieval. The majorSpreading Activation models are presented and their applications toIR is surveyed. A number of works in this area are criticallyanalyzed in order to study the relevance of Spreading Activation forassociative IR. ER -}, biburl = {http://www.bibsonomy.org/bibtex/2c26c16e0a8036000b788fada656f59dd/hotho}, keywords = {semantic network *** ir search activation retrieval survey msn spreading information} } @misc{citeulike:1115448, title = {Library Student Journal: Collaborative tagging, folksonomies, distributed classification or ethnoclassification: a literature review.}, author = {Edith Speller}, journal = {Library Student Journal}, month = {February}, year = 2007, url = {http://informatics.buffalo.edu/org/lsj/articles/speller_2007_2_collaborative.php}, id = {1115448}, priority = {0}, description = {imported from citeulike}, abstract = {Tagging, folksonomy, distributed classification, ethnoclassification—however it is labelled, the concept of users creating and aggregating their own metadata is gaining ground on the internet. This literature review briefly defines the topic at hand, looking at current implementations and summarizing key advantages and disadvantages of distributed classification systems with reference to prominent folksonomy commentators. After considering whether distributed classification can replace expert catalogers entirely, it concludes that distributed classification can make an important contribution to digital information organisation, but that it may need to be integrated with more traditional organisation tools to overcome its current weaknesses.}, biburl = {http://www.bibsonomy.org/bibtex/216373fb33b38c4769794ed7e7875f27e/hotho}, keywords = {tagging survey folksonomy} } @misc{voss-2007, title = {Tagging, Folksonomy \& Co - Renaissance of Manual Indexing?}, author = {Jakob Voss}, year = 2007, url = {http://www.citebase.org/abstract?id=oai:arXiv.org:cs/0701072}, description = {[cs/0701072] Tagging, Folksonomy & Co - Renaissance of Manual Indexing?}, abstract = {This paper gives an overview of current trends in manual indexing on the Web. Along with a general rise of user generated content there are more and more tagging systems that allow users to annotate digital resources with tags (keywords) and share their annotations with other users. Tagging is frequently seen in contrast to traditional knowledge organization systems or as something completely new. This paper shows that tagging should better be seen as a popular form of manual indexing on the Web. Difference between controlled and free indexing blurs with sufficient feedback mechanisms. A revised typology of tagging systems is presented that includes different user roles and knowledge organization systems with hierarchical relationships and vocabulary control. A detailed bibliography of current research in collaborative tagging is included.}, biburl = {http://www.bibsonomy.org/bibtex/29ec98351dc630ea6b1f65046ba44a8dd/hotho}, keywords = {survey semantic knowledge km organisation tagging indexing toread bibsonomy **** folksonomy} } @article{Rui05SurveyClustering, title = {Survey of clustering algorithms}, author = {Rui Xu and II Wunsch}, journal = {Neural Networks, IEEE Transactions on}, number = 3, pages = {645--678}, volume = 16, year = 2005, timestamp = {2006.06.08}, issn = {1045-9227}, owner = {mgrani}, abstract = {Data analysis plays an indispensable role for understanding various phenomena. Cluster analysis, primitive exploration with little or no prior knowledge, consists of research developed across a wide variety of communities. The diversity, on one hand, equips us with many tools. On the other hand, the profusion of options causes confusion. We survey clustering algorithms for data sets appearing in statistics, computer science, and machine learning, and illustrate their applications in some benchmark data sets, the traveling salesman problem, and bioinformatics, a new field attracting intensive efforts. Several tightly related topics, proximity measure, and cluster validation, are also discussed.}, biburl = {http://www.bibsonomy.org/bibtex/292c03ba02a41f95ae315273939c8daa5/hotho}, keywords = {toread survey clustering} } @article{1159300, title = {A Survey of Web Information Extraction Systems}, address = {Piscataway, NJ, USA}, author = {Mohammed Kayed and Khaled F. Shaalan}, journal = {IEEE Transactions on Knowledge and Data Engineering}, note = {Member-Chia-Hui Chang and Member-Moheb Ramzy Girgis}, number = 10, pages = {1411--1428}, publisher = {IEEE Educational Activities Department}, volume = 18, year = 2006, issn = {1041-4347}, doi = {http://dx.doi.org/10.1109/TKDE.2006.152}, description = {A Survey of Web Information Extraction Systems}, biburl = {http://www.bibsonomy.org/bibtex/2234a08916f1fd77df13ea731622333f7/hotho}, keywords = {extraction ie survey information} } @inproceedings{conf/dawak/MadriaBNL99, title = {Research Issues in Web Data Mining.}, author = {Sanjay Kumar Madria and Sourav S. Bhowmick and Wee Keong Ng and Ee-Peng Lim}, booktitle = {DaWaK}, crossref = {conf/dawak/1999}, editor = {Mukesh K. Mohania and A. Min Tjoa}, pages = {303-312}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, volume = 1676, year = 1999, url = {http://dblp.uni-trier.de/db/conf/dawak/dawak99.html#MadriaBNL99}, ee = {http://link.springer.de/link/service/series/0558/bibs/1676/16760303.htm}, isbn = {3-540-66458-0}, date = {2002-03-05}, description = {dblp}, biburl = {http://www.bibsonomy.org/bibtex/21016d42a26ca0748ba227d62b7126933/hotho}, keywords = {mining web survey} } @inproceedings{bartsch99cbrsurvey, title = {Case-Based Reasoning: Survey and Future Directions.}, author = {Brigitte Bartsch-Spörl and Mario Lenz and André Hübner}, booktitle = {XPS-99: Knowledge-Based Systems - Survey and Future Directions,}, editor = {Frank Puppe}, pages = {67-89}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, volume = 1570, year = 1999, isbn = {3-540-65658-8}, biburl = {http://www.bibsonomy.org/bibtex/2b6fd1311beb153161ab89f7d64f5ff70/hotho}, keywords = {cbr survey} } @article{Sebastiani02, title = {Machine learning in automated text categorization}, author = {F. Sebastiani}, journal = {ACM Computing Surveys}, number = 1, pages = {1--47}, volume = 34, year = 2002, url = {http://faure.iei.pi.cnr.it/~fabrizio/Publications/ACMCS02.pdf}, address = {--Dordrecht--London}, biburl = {http://www.bibsonomy.org/bibtex/20fe0d5dd12c2cb59dfc330e684ec4b4a/hotho}, keywords = {survey ml categorization tm classification text} } @book{staab04handbook, title = {{Handbook on Ontologies}}, address = {Berlin, DE}, editor = {S. Staab and R. Studer}, publisher = {Springer}, year = 2003, location = {Aix-en-Provence, France}, biburl = {http://www.bibsonomy.org/bibtex/26317962ddc5bd2a1febf873fd3900aba/hotho}, keywords = {overview ontology semantic SumSchool06 web} } @book{Fensel:2002, title = {Spinning the Semantic Web: Bringing the World Wide Web to Its Full Potential}, editor = {Dieter Fensel and Wolfgang Wahlster and Henry Lieberman and James Hendler}, publisher = {MIT Press}, year = 2002, description = {The big one}, biburl = {http://www.bibsonomy.org/bibtex/2cfd4dbb8db3f32dec6a0218f2dc83f4e/hotho}, keywords = {SumSchool06 web overview semantic} } @article{hotho-etal-ldv-2005, title = { A Brief Survey of Text Mining}, author = {Andreas Hotho and Andreas Nürnberger and Gerhard Paaß}, journal = {LDV Forum - GLDV Journal for Computational Linguistics and Language Technology}, month = {MAY}, number = 1, pages = {19-62}, volume = 20, year = 2005, url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2005/hotho05TextMining.pdf}, issn = {0175-1336}, vgwort = {44}, biburl = {http://www.bibsonomy.org/bibtex/26ecc8a3cee1a99bbb9f8f8dd6a9d2959/hotho}, keywords = {mining survey myown text ontology overview SumSchool06 2005} } @techreport{heckerman95, title = {A tutorial on learning with bayesian networks}, address = {Redmond, Washington}, author = {D. Heckerman}, institution = {Microsoft Research}, year = 1995, url = {http://citeseer.ist.psu.edu/41127.html}, id = {142938}, priority = {3}, description = {sdasda}, biburl = {http://www.bibsonomy.org/bibtex/2d28c962a3a1f5219a3c25b5f7371e13d/hotho}, keywords = {bayes network survey tutorial learning} } @techreport{berkhin02survey, title = {Survey Of Clustering Data Mining Techniques}, address = {San Jose, CA}, author = {Pavel Berkhin}, institution = {Accrue Software}, year = 2002, url = {http://citeseer.ist.psu.edu/berkhin02survey.html}, description = {Survey Of Clustering Data Mining Techniques - Berkhin (ResearchIndex)}, biburl = {http://www.bibsonomy.org/bibtex/22fec60df240f69dbf677e34825d20491/hotho}, keywords = {lecture clustering 2006 survey kdd} }