http://www.bibsonomy.org/burst/concept/tag/databasesBibSonomy BuRST Feed for /concept/tag/databases2008-07-21T00:29:48+02:00Amazon.com: Semantic Web for the Working Ontologist: Effective Modeling in RDFS and OWL: Dean Allemang, James Hendler: Bookshttp://www.bibsonomy.org/bibtex/2329e804d1f49298322537e866d6b8d62/taspeltaspel2008-07-01T11:08:46+02:00semantic web semanticweb metadata architecture owl databases <span style="color:#555555;">Dean <a href="http://www.bibsonomy.org/author/Allemang">Allemang</a> and James <a href="http://www.bibsonomy.org/author/Hendler">Hendler</a> </span><em>Morgan Kaufmann, </em>(<em>2008</em>)Tue Jul 01 11:08:46 CEST 2008Semantic Web for the Working Ontologist: Effective Modeling in RDFS and OWL2008semantic web semanticweb metadata architecture owl databases http://www.bibsonomy.org/bibtex/2797af734fa2ebc20d8ad574c5a7eeddd/brazovayeyebrazovayeye2008-06-19T17:46:40+02:00algorithms, fingerprint Bayes intelligence), classification, database, databases genetic methods, processing NIST-4 composite algorithm, primitive feature visual method, learning identification, discovery, extraction, programming, image operations feature-learning Bayesian operator classifier, classification (artificial <span style="color:#555555;">Xuejun <a href="http://www.bibsonomy.org/author/Tan">Tan</a> and B. <a href="http://www.bibsonomy.org/author/Bhanu">Bhanu</a> and Yingqiang <a href="http://www.bibsonomy.org/author/Lin">Lin</a> </span><em>IEEE Transactions on Systems, Man and Cybernetics, Part C: Applications and Reviews</em><em>35(3):287--300</em>(<em>Aug</em>)Thu Jun 19 17:46:40 CEST 2008IEEE Transactions on Systems, Man and Cybernetics, Part C: Applications and Reviews3287--300Fingerprint classification based on learned features35Augalgorithms, fingerprint Bayes intelligence), classification, database, databases genetic methods, processing NIST-4 composite algorithm, primitive feature visual method, learning identification, discovery, extraction, programming, image operations feature-learning Bayesian operator classifier, classification (artificial In this paper, we present a fingerprint classification approach based on a novel feature-learning algorithm. Unlike current research for fingerprint classification that generally uses well defined meaningful features, our approach is based on Genetic Programming (GP), which learns to discover composite operators and features that are evolved from combinations of primitive image processing operations. Our experimental results show that our approach can find good composite operators to effectively extract useful features. Using a Bayesian classifier, without rejecting any fingerprints from the NIST-4 database, the correct rates for 4- and 5-class classification are 93.3percent and 91.6percent, respectively, which compare favourably with other published research and are one of the best results published to date.SpringerLink - Journal Articlehttp://www.bibsonomy.org/bibtex/2c52c912a5838edce557264aea674aa60/chrgrothechrgrothe2008-06-09T12:58:33+02:00spatiotemporal databases imported <span style="color:#555555;">Tamas <a href="http://www.bibsonomy.org/author/Abraham">Abraham</a> and John F. <a href="http://www.bibsonomy.org/author/Roddick">Roddick</a> </span><em>GeoInformatica</em><em>3(1):61--99</em><em>#mar#1999. </em>Mon Jun 09 12:58:33 CEST 2008GeoInformatica#mar#161--99Survey of Spatio-Temporal Databases31999spatiotemporal databases imported Spatio-temporal databases aim to support extensions to existing models of Spatial Information Systems (SIS) to include time in order to better describe our dynamic environment. Although interest into this area has increased in the past decade, a number of important issues remain to be investigated. With the advances made in temporal database research, we can expect a more unified approach towards aspatial temporal data in SIS and a wider discussion on spatio-temporal data models. This paper provides an overview of previous achievements within the field and highlights areas currently receiving or requiring further investigation. ER -http://www.bibsonomy.org/bibtex/2b7bf349c99f71d785b1d81ebd9a8e490/smichasmicha2008-04-23T22:05:04+02:00Video databases <span style="color:#555555;">Bilge <a href="http://www.bibsonomy.org/author/G{\&#034;u}nsel">G&#252;nsel</a> and A. <a href="http://www.bibsonomy.org/author/Murat Tekalp">Murat Tekalp</a> and Peter J. L. <a href="http://www.bibsonomy.org/author/van Beek">van Beek</a> </span><em>Signal Processing</em><em>66(2):261--280</em><em>Apr1998. </em>Wed Apr 23 22:05:04 CEST 2008Signal ProcessingApr2261--280Content-based access to video objects: Temporal Segmentation, visual summarization, and feature extraction661998Video databases 30http://www.bibsonomy.org/bibtex/2bd54acf8a47f1d82656577008c8d8b66/smichasmicha2008-04-23T14:55:19+02:00Statistical databases <span style="color:#555555;">S. K. <a href="http://www.bibsonomy.org/author/Panda">Panda</a> and A. <a href="http://www.bibsonomy.org/author/Nagabhushanam">Nagabhushanam</a> </span><em>Computational Statistics \&amp; Data Analysis</em><em>19(5):553--562</em><em>May1995. </em>Wed Apr 23 14:55:19 CEST 2008Computational Statistics \& Data AnalysisMay5553--562Fuzzy data distortion191995Statistical databases http://www.bibsonomy.org/bibtex/20b6a371b297f128b6ffd9ca18f6760ab/dawincidawinci2008-04-14T15:32:00+02:00identity databrokers protection theft privacy databases regulation legislation <span style="color:#555555;">Daniel J. <a href="http://www.bibsonomy.org/author/Solove">Solove</a> and Chris J. <a href="http://www.bibsonomy.org/author/Hoofnagle">Hoofnagle</a> </span><em>GWU Law School Public Law Research Paper</em>(<em>2006</em>)Mon Apr 14 15:32:00 CEST 2008Version 3.0GWU Law School Public Law Research Paper132Accepted Paper SeriesA Model Regime of Privacy Protection2006identity databrokers protection theft privacy databases regulation legislation A series of major security breaches at companies with sensitive personal information has sparked significant attention to the problems with privacy protection in the United States. Currently, the privacy protections in the United States are riddled with gaps and weak spots. Although most industrialized nations have comprehensive data protection laws, the United States has maintained a sectoral approach where certain industries are covered and others are not. In particular, emerging companies known as "commercial data brokers" have frequently slipped through the cracks of U.S. privacy law. In this article, the authors propose a Model Privacy Regime to address the problems in the privacy protection in the United States, with a particular focus on commercial data brokers. Since the United States is unlikely to shift radically from its sectoral approach to a comprehensive data protection regime, the Model Regime aims to patch up the holes in existing privacy regulation and improve and extend it. In other words, the goal of the Model Regime is to build upon the existing foundation of U.S. privacy law, not to propose an alternative foundation. The authors believe that the sectoral approach in the United States can be improved by applying the Fair Information Practices - principles that require the entities that collect personal data to extend certain rights to data subjects. The Fair Information Practices are very general principles, and they are often spoken about in a rather abstract manner. In contrast, the Model Regime demonstrates specific ways that they can be incorporated into privacy regulation in the United States. dblphttp://www.bibsonomy.org/bibtex/258c64c5ce336662c87af73a4e6a41e3c/manishmanish2008-04-11T21:00:13+02:00databases <span style="color:#555555;">Peter <a href="http://www.bibsonomy.org/author/Buneman">Buneman</a> and Wang Chiew <a href="http://www.bibsonomy.org/author/Tan">Tan</a> </span><em>SIGMOD Conference, </em><em>page1171-1173. </em><em>ACM, </em>(<em>2007</em>)Fri Apr 11 21:00:13 CEST 2008SIGMOD Conferenceconf/sigmod/20071171-1173Provenance in databases.2007databases dblphttp://www.bibsonomy.org/bibtex/2665f4ec923e434a3481b05b0dc488ca4/manishmanish2008-04-11T20:58:22+02:00databases <span style="color:#555555;">Peter <a href="http://www.bibsonomy.org/author/Buneman">Buneman</a> and Adriane <a href="http://www.bibsonomy.org/author/Chapman">Chapman</a> and James <a href="http://www.bibsonomy.org/author/Cheney">Cheney</a> </span><em>SIGMOD Conference, </em><em>page539-550. </em><em>ACM, </em>(<em>2006</em>)Fri Apr 11 20:58:22 CEST 2008SIGMOD Conferenceconf/sigmod/2006539-550Provenance management in curated databases.2006databases dblphttp://www.bibsonomy.org/bibtex/2d48ecc773a953c8efdde1669a5308968/manishmanish2008-04-11T20:48:26+02:00databases <span style="color:#555555;">Wang Chiew <a href="http://www.bibsonomy.org/author/Tan">Tan</a> </span><em>IEEE Data Eng. Bull.</em><em>30(4):3-12</em>(<em>2007</em>)Fri Apr 11 20:48:26 CEST 2008IEEE Data Eng. Bull.43-12Provenance in Databases: Past, Current, and Future.302007databases Provenance in databaseshttp://www.bibsonomy.org/bibtex/278ee35d5be600569776220c63f7cca9b/manishmanish2008-04-11T20:46:40+02:00databases <span style="color:#555555;">Peter <a href="http://www.bibsonomy.org/author/Buneman">Buneman</a> and Wang-Chiew <a href="http://www.bibsonomy.org/author/Tan">Tan</a> </span><em>SIGMOD '07: Proceedings of the 2007 ACM SIGMOD international conference on Management of data, </em><em>page1171--1173. </em><em>New York, NY, USA, </em><em>ACM, </em>(<em>2007</em>)Fri Apr 11 20:46:40 CEST 2008New York, NY, USASIGMOD '07: Proceedings of the 2007 ACM SIGMOD international conference on Management of data1171--1173Provenance in databases2007databases http://www.bibsonomy.org/bibtex/2c9c0e45645b8d7121a87d1fd47e2272a/callagiallacallagialla2008-03-20T21:20:07+01:00image systems based resources information knowledge retrieval visual databases coding <span style="color:#555555;">Steffen <a href="http://www.bibsonomy.org/author/Staab">Staab</a> and S. <a href="http://www.bibsonomy.org/author/Santini">Santini</a> and F. <a href="http://www.bibsonomy.org/author/Nack">Nack</a> and L. <a href="http://www.bibsonomy.org/author/Steels">Steels</a> and Alexander D. <a href="http://www.bibsonomy.org/author/Mädche">M&#228;dche</a> </span><em>IEEE Intelligent Systems</em><em>17(1):78-86</em>(<em>2002</em>)Thu Mar 20 21:20:07 CET 2008IEEE Intelligent Systems178-86Emergent Semantics172002image systems based resources information knowledge retrieval visual databases coding 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.Agents and Databases: Friends or Foes? | rene-witte.nethttp://www.bibsonomy.org/bibtex/27ed1da39a2a1f2466129f59b8546c8cc/renewrenew2008-03-04T22:49:07+01:00databases agents <span style="color:#555555;">Peter C. <a href="http://www.bibsonomy.org/author/Lockemann">Lockemann</a> and Ren'e <a href="http://www.bibsonomy.org/author/Witte">Witte</a> </span><em>Ninth International Database Engineering and Applications Symposium (IDEAS 2005), </em><em>page137--147. </em><em>Montr'eal, Qu'ebec, Canada, </em><em>July 25--272005. </em><em>Invited paper. . </em>Tue Mar 04 22:49:07 CET 2008Montr{\'e}al, Qu\'{e}bec, CanadaNinth International Database Engineering and Applications Symposium (IDEAS 2005)July 25--27Invited paper.137--147{Agents and Databases: Friends or Foes?}2005databases agents http://www.bibsonomy.org/bibtex/21753d3843e3842b957bb0a0660ab4513/diego_madiego_ma2008-02-19T06:58:42+01:00clinical questions databases biomedical <span style="color:#555555;">Brian S. <a href="http://www.bibsonomy.org/author/Alper">Alper</a> and James J. <a href="http://www.bibsonomy.org/author/Stevermer">Stevermer</a> and David S. <a href="http://www.bibsonomy.org/author/White">White</a> and Bernard G. <a href="http://www.bibsonomy.org/author/Ewigman">Ewigman</a> </span><em>Journal of Family Practice</em><em>50(11):960-965</em>(<em>2001</em>)Tue Feb 19 06:58:42 CET 2008Journal of Family Practice11960-965Answering Family Physicians' Clinical Questions Using Electronic Medical Databases502001clinical questions databases biomedical KEY POINTS FOR CLINICIANS * Five current electronic medical databases can answer 50% or more of family physicians' clinical questions. * Combinations of currently available databases can answer 75% or more of these questions. * Getting answers to clinical questions can often take from 2 to 6 minutes for each query. * OBJECTIVE We studied the ability of electronic medical databases to provide adequate answers to the clinical questions of family physicians. * STUDY DESIGN Two family physicians attempted to answer 20 questions with each of the databases evaluated. The adequacy of the answers was determined by the 2 physician searchers, and an arbitration panel of 3 family physicians was used if there was disagreement. * DATA SOURCE We identified 38 databases through nominations from national groups of family physicians, medical informaticians, and medical librarians; 14 of these databases met predetermined eligibility criteria. * OUTCOME MEASURED The primary outcome was the proportion of questions adequately answered by each database and by combinations of databases. We also measured mean and median times to obtain adequate answers for individual databases. * RESULTS The agreement between family physician searchers regarding the adequacy of answers was excellent ([kappa]=0.94). Five individual databases (STAT!Ref, MDConsult, DynaMed, MAXX, and MDChoice.com) answered at least half of the clinical questions. Some combinations of databases answered 75% or more. The average time to obtain an adequate answer ranged from 2.4 to 6.5 minutes. * CONCLUSIONS Several current electronic medical databases could answer most of a group of 20 clinical questions derived from family physicians during office practice. However, point-of-care searching is not yet fast enough to address most clinical questions identified during routine clinical practice.http://www.bibsonomy.org/bibtex/2efab816eaed01b1900760a5df30213d5/ccaldeiraccaldeira2008-02-03T00:36:30+01:00Databases DSSAT Interface Agrosys <span style="color:#555555;">Carlos Pampulim <a href="http://www.bibsonomy.org/author/Caldeira">Caldeira</a> and Pedro Aguiar <a href="http://www.bibsonomy.org/author/Pinto">Pinto</a> </span><em>Computers and Electronics in Agriculture</em><em>21(1):69-77</em>(<em>1998</em>)Sun Feb 03 00:36:30 CET 2008Computers and Electronics in Agriculture169-77Linking DSSAT V3 to a Relational Database: The AGROSYS DSSAT Interface211998Databases DSSAT Interface Agrosys This paper presents an information system that links the decision support system DSSAT V3 to a relational database named AGROSYS. They are coupled by a GUI (graphical user interface) which links crop simulation models in DSSAT and AGROSYS. This prototype runs on Microsoft Windows 95 with Access Version 7.0 or later. AGROSYS is a structured information system, which gives the user access to both data and information on many different agrobiological subjects. This information has been collected from literature reviews (including DSSAT manuals), field experimentation and the contributions of experts in many different areas. Since a relational database makes explicit and normalizes the system's dataset, the information is free of any redundancy or ambiguity, being easily updated.http://www.bibsonomy.org/bibtex/2ff6015c371937857d1e7313e0b355e12/ccaldeiraccaldeira2008-02-02T16:06:30+01:00WSEAS Databases <span style="color:#555555;">Carlos Pampulim <a href="http://www.bibsonomy.org/author/Caldeira">Caldeira</a> </span><em>Proceedings of the 7th International Conference on Mathematics and Computers in Biology and Chemistry, </em><em>WSEAS, </em><em>WSEAS, </em><em>June2006. </em>Sat Feb 02 16:06:30 CET 2008Proceedings of the 7th International Conference on Mathematics and Computers in Biology and ChemistryJuneA Data Warehouse Perspective on Agricultural Databases2006WSEAS Databases http://www.bibsonomy.org/bibtex/2ad919cc4e684d1c1a209f78731b6e7f6/juvejuve2008-01-11T14:32:53+01:00notation hungarian databases <span style="color:#555555;">Alexandra von <a href="http://www.bibsonomy.org/author/Cube">Cube</a> and Christine <a href="http://www.bibsonomy.org/author/Damberg">Damberg</a> </span><em>Hochschulrechenzentrum Universit&#228;t Dortmund, </em><em>September2004. </em>Fri Jan 11 14:32:53 CET 2008SeptemberACCESS 2003 FÜR EINSTEIGER2004notation hungarian databases dblphttp://www.bibsonomy.org/bibtex/216597b6c344dd305026e98fd7b3d50ce/pitmanpitman2008-01-09T00:25:06+01:00databases citation science computer <span style="color:#555555;">Vaclav <a href="http://www.bibsonomy.org/author/Petricek">Petricek</a> and Ingemar J. <a href="http://www.bibsonomy.org/author/Cox">Cox</a> and Hui <a href="http://www.bibsonomy.org/author/Han">Han</a> and Isaac G. <a href="http://www.bibsonomy.org/author/Councill">Councill</a> and C. <a href="http://www.bibsonomy.org/author/Lee Giles">Lee Giles</a> </span><em>CoRR</em>(<em>2007</em>) <em>informal publication . </em>Wed Jan 09 00:25:06 CET 2008CoRRinformal publicationA Comparison of On-Line Computer Science Citation Databasesabs/cs/07030432007databases citation science computer http://www.bibsonomy.org/bibtex/2875e8edccde38b8167e3455e04e0d362/berruetaberrueta2007-12-14T17:44:42+01:002004 poster turruta-eswc2008 iswc rdf d2rq d2r databases <span style="color:#555555;">Christian <a href="http://www.bibsonomy.org/author/Bizer">Bizer</a> and Andy <a href="http://www.bibsonomy.org/author/Seaborne">Seaborne</a> </span><em>ISWC2004 (posters), </em><em>November2004. </em>Fri Dec 14 17:44:42 CET 2007ISWC2004 (posters)November{D2RQ} - Treating Non-{RDF} Databases as Virtual {RDF} Graphs20042004 poster turruta-eswc2008 iswc rdf d2rq d2r databases http://www.bibsonomy.org/bibtex/2790030fa77a6da1f9f27fe7cbe0291f5/suzykysuzyky2007-11-27T18:15:08+01:00Propriété Congresses; d'information networks Library États-Unis property Systèmes information States; Congrès; United Droit États-Unis; Copyright Intellectual intellectuelle d'auteur Databases <span style="color:#555555;">Network Advisory Committee. <a href="http://www.bibsonomy.org/author/Meeting">Meeting</a> and Library of Congress. <a href="http://www.bibsonomy.org/author/Network Development">Network Development</a> and MARC Standards <a href="http://www.bibsonomy.org/author/Office">Office</a> </span><em>Network Development and MARC Standards Office, Library of Congress, </em><em>Washington, </em>(<em>1987</em>) <em>1987. . </em>Tue Nov 27 18:15:08 CET 2007Washington1987.66Intellectual property rights in an electronic age : proceedings of the Library of Congress Network Advisory Committee Meeting, April 22-24161987Propriété Congresses; d'information networks Library États-Unis property Systèmes information States; Congrès; United Droit États-Unis; Copyright Intellectual intellectuelle d'auteur Databases http://www.bibsonomy.org/bibtex/2d53d8e57fffce532b5303a3920e4f6f1/thauthau2007-10-06T02:21:08+02:00databases inconsistency <span style="color:#555555;">Ofer <a href="http://www.bibsonomy.org/author/Arieli">Arieli</a> and Marc <a href="http://www.bibsonomy.org/author/Denecker">Denecker</a> and Bert Van <a href="http://www.bibsonomy.org/author/Nuffelen">Nuffelen</a> and Maurice <a href="http://www.bibsonomy.org/author/Bruynooghe">Bruynooghe</a> </span><em>Paraconsistent Computational Logic, </em><em>volume95ofDatalogiske Skrifter, </em><em>page51-65. </em><em>Roskilde University, Roskilde, Denmark, </em>(<em>2002</em>)Sat Oct 06 02:21:08 CEST 2007Paraconsistent Computational Logicconf/pcl/200251-65Datalogiske SkrifterRepairing Inconsistent Databases: A Model-Theoretic Approach and Abductive Reasoning.952002databases inconsistency