LEADER 06728nam 22006975 450 001 996465739003316 005 20200704142036.0 010 $a3-540-34963-4 024 7 $a10.1007/11766278 035 $a(CKB)1000000000233014 035 $a(SSID)ssj0000316088 035 $a(PQKBManifestationID)11207693 035 $a(PQKBTitleCode)TC0000316088 035 $a(PQKBWorkID)10274741 035 $a(PQKB)10565413 035 $a(DE-He213)978-3-540-34963-1 035 $a(MiAaPQ)EBC3068143 035 $a(PPN)123135834 035 $a(EXLCZ)991000000000233014 100 $a20100301d2006 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aAdvances in XML Information Retrieval and Evaluation$b[electronic resource] $e4th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2005, Dagstuhl Castle, Germany, November 28-30, 2005. Revised and Selected Papers /$fedited by Norbert Fuhr, Mounia Lalmas, Saadia Malik, Gabriella Kazai 205 $a1st ed. 2006. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2006. 215 $a1 online resource (XII, 556 p.) 225 1 $aInformation Systems and Applications, incl. Internet/Web, and HCI ;$v3977 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-34962-6 320 $aIncludes bibliographical references and index. 327 $aOverview of INEX 2005 -- INEX 2005 Evaluation Measures -- EPRUM Metrics and INEX 2005 -- HiXEval: Highlighting XML Retrieval Evaluation -- The Interpretation of CAS -- TIJAH Scratches INEX 2005: Vague Element Selection, Image Search, Overlap, and Relevance Feedback -- XFIRM at INEX 2005: Ad-Hoc and Relevance Feedback Tracks -- The Effect of Structured Queries and Selective Indexing on XML Retrieval -- Searching XML Documents ? Preliminary Work -- Query Evaluation with Structural Indices -- B 3-SDR and Effective Use of Structural Hints -- Field-Weighted XML Retrieval Based on BM25 -- XML Retrieval Based on Direct Contribution of Query Components -- Using the INEX Environment as a Test Bed for Various User Models for XML Retrieval -- The University of Kaiserslautern at INEX 2005 -- Parameter Estimation for a Simple Hierarchical Generative Model for XML Retrieval -- Probabilistic Retrieval, Component Fusion and Blind Feedback for XML Retrieval -- GPX ? Gardens Point XML IR at INEX 2005 -- Implementation of a High-Speed and High-Precision XML Information Retrieval System on Relational Databases -- The Dynamic Retrieval of XML Elements -- TopX and XXL at INEX 2005 -- When a Few Highly Relevant Answers Are Enough -- RMIT University at INEX 2005: Ad Hoc Track -- SIRIUS: A Lightweight XML Indexing and Approximate Search System at INEX 2005 -- Machine Learning Ranking and INEX?05 -- Relevance Feedback for Structural Query Expansion -- NLPX at INEX 2005 -- From Natural Language to NEXI, an Interface for INEX 2005 Queries -- Processing Heterogeneous Collections in XML Information Retrieval -- The Interactive Track at INEX 2005 -- What Do Users Think of an XML Element Retrieval System? -- Users Interaction with the Hierarchically Structured Presentation in XML Document Retrieval -- XML Documents Clustering by Structures -- A Flexible Structured-Based Representation for XML Document Mining -- Sequential Pattern Mining for Structure-Based XML Document Classification -- Transforming XML Trees for Efficient Classification and Clustering -- Clustering XML Documents Using Self-organizing Maps for Structures -- INEX 2005 Multimedia Track -- Integrating Text Retrieval and Image Retrieval in XML Document Searching -- Combining Image and Structured Text Retrieval -- Multimedia Strategies for B 3-SDR, Based on Principal Component Analysis. 330 $aContent-oriented XML retrieval has been receiving increasing interest due to the widespread use of eXtensible Markup Language (XML), which is becoming a standard document format on the Web, in digital libraries,and publishing. By exploiting the enriched source of syntactic and semantic information that XML markup provides, XML information retrieval (IR) systems aim to implement a more focused retrieval strategy and return document components, so-called XML elements ? instead of complete documents ? in response to a user query. This focused retrieval approach is of particular bene?t for collections containing long documents or documents covering a wide variety of topics (e.g., books, user manuals, legal documents, etc.), where users? e?ort to locate relevant content can be reduced by directing them to the most relevant parts of the documents. Implementing this, more focused, retrieval paradigm means that an XML IR system needs not only to ?nd relevant information in the XML documents, but it also has to determine the appropriate level of granularity to be returned to the user. In addition, the relevance of a retrieved component may be dependent on meeting both content and structural query conditions. 410 0$aInformation Systems and Applications, incl. Internet/Web, and HCI ;$v3977 606 $aData structures (Computer science) 606 $aInformation storage and retrieval 606 $aApplication software 606 $aDatabase management 606 $aData Structures and Information Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/I15009 606 $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032 606 $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040 606 $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024 615 0$aData structures (Computer science). 615 0$aInformation storage and retrieval. 615 0$aApplication software. 615 0$aDatabase management. 615 14$aData Structures and Information Theory. 615 24$aInformation Storage and Retrieval. 615 24$aInformation Systems Applications (incl. Internet). 615 24$aDatabase Management. 676 $a006.7/4 702 $aFuhr$b Norbert$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLalmas$b Mounia$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMalik$b Saadia$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKazai$b Gabriella$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a996465739003316 996 $aAdvances in XML Information Retrieval and Evaluation$9772072 997 $aUNISA LEADER 05289nam 22008175 450 001 996465618903316 005 20200703013915.0 010 $a3-642-02568-4 024 7 $a10.1007/978-3-642-02568-6 035 $a(CKB)1000000000753984 035 $a(SSID)ssj0000319185 035 $a(PQKBManifestationID)11937711 035 $a(PQKBTitleCode)TC0000319185 035 $a(PQKBWorkID)10336547 035 $a(PQKB)10110482 035 $a(DE-He213)978-3-642-02568-6 035 $a(MiAaPQ)EBC3064338 035 $a(PPN)136306969 035 $a(EXLCZ)991000000000753984 100 $a20100301d2009 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aNext-Generation Applied Intelligence$b[electronic resource] $e22nd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009, Tainan, Taiwan, June 24-27, 2009. Proceedings /$fedited by Been-Chian Chien, Tzung-Pei Hong, Moonis Ali 205 $a1st ed. 2009. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2009. 215 $a1 online resource (XX, 839 p.) 225 1 $aLecture Notes in Artificial Intelligence ;$v5579 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-642-02567-6 320 $aIncludes bibliographical references and index. 327 $aAutonomous Agents -- Computer Vision -- Data Mining and Knowledge Discovery -- Decision Support Systems -- Evolutionary Computation -- Fuzzy Logic and Uncertainty -- Integration Systems for Real Life Applications -- Intelligent Systems -- Intelligent Wireless Computing -- Knowledge Management and Natural Language Processing -- Machine Learning -- Multi-Agent Systems -- Neural Networks -- Special Session: Engineering Knowledge and Semantic Systems -- Special Session: Mass Customization of Manufacturing Products using Applied Intelligent Systems -- Special Session: Mining Interesting Knowledge (I) -- Special Session: Mining Interesting Knowledge (II). 330 $aThis book constitutes the refereed proceedings of the 22nd International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2009, held in Tainan, Taiwan in June 2009. The 84 revised full papers presented together with 5 invited papers were carefully reviewed and selected from 286 submissions. The papers are cover a wide range of topics like autonomous agents, computer vision, data mining and knowledge discovery, decision support systems, evolutionary computation, fuzzy logic and uncertainty, intelligent system applications, intelligent wireless computing, knowledge management and natural language processing, machine learning, multi-agent systems, neural networks, and three special invited topics including engineering knowledge and semantic systems, mass customization of manufacturing products using applied intelligent systems, and mining interesting knowledge. 410 0$aLecture Notes in Artificial Intelligence ;$v5579 606 $aArtificial intelligence 606 $aData mining 606 $aOptical data processing 606 $aUser interfaces (Computer systems) 606 $aPattern recognition 606 $aManagement information systems 606 $aComputer science 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22005 606 $aUser Interfaces and Human Computer Interaction$3https://scigraph.springernature.com/ontologies/product-market-codes/I18067 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aManagement of Computing and Information Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/I24067 615 0$aArtificial intelligence. 615 0$aData mining. 615 0$aOptical data processing. 615 0$aUser interfaces (Computer systems). 615 0$aPattern recognition. 615 0$aManagement information systems. 615 0$aComputer science. 615 14$aArtificial Intelligence. 615 24$aData Mining and Knowledge Discovery. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aUser Interfaces and Human Computer Interaction. 615 24$aPattern Recognition. 615 24$aManagement of Computing and Information Systems. 676 $a006.3 702 $aChien$b Been-Chian$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aHong$b Tzung-Pei$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aAli$b Moonis$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aInternational Conference on Industrial & Engineering Applications of Artificial Intelligence & Expert Systems 906 $aBOOK 912 $a996465618903316 996 $aNext-Generation Applied Intelligence$9774210 997 $aUNISA