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[null,"1.","Record Nr.",null,"UNINA9910838221103321"]
[null,null,"Autore",null,"Hendler James"]
[null,null,"Titolo",null,"Semantic Web for the Working Ontologist, Third Edition : Effective Modeling for Linked Data, RDFS and OWL"]
[null,null,"Pubbl/distr/stampa",null,"San Rafael : , : Morgan & Claypool Publishers, , 2020"]
[{"$nulls":4},"©2020"]
[null,null,"ISBN",null,"1-4503-7615-0"]
[null,null,"Edizione",null,"[3rd ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (512 pages)"]
[null,null,"Disciplina",null,"025.0427"]
[null,null,"Soggetti",null,"Linked data"]
[{"$nulls":4},"Metadata"]
[{"$nulls":4},"OWL (Web ontology language)"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Intro -- Semantic Web for the Working Ontologist -- Contents -- Preface -- 1 What Is the Semantic Web? -- 1.1 What Is a Web? -- 1.2 Communicating with Data -- 1.3 Distributed Data -- 1.4 Summary -- 2 Semantic Modeling -- 2.1 Modeling for Human Communication -- 2.2 Explanation and Prediction -- 2.3 Mediating Variability -- 2.4 Expressivity in Modeling -- 2.5 Summary -- 3 RDF-The Basis of the Semantic Web -- 3.1 Distributing Data Across the Web -- 3.2 Merging Data from Multiple Sources -- 3.3 Namespaces, URIs, and Identity -- 3.4 Identifiers in the RDF Namespace -- 3.5 CHALLENGES: RDF and Tabular Data -- 3.6 Higher-Order Relationships -- 3.7 Naming RDF Graphs -- 3.8 Alternatives for Serialization -- 3.9 Blank Nodes -- 3.10 Summary -- 4 Semantic Web Application Architecture -- 4.1 RDF Parser/Serializer -- 4.2 RDF Store -- 4.3 Application Code -- 4.4 Data Federation -- 4.5 Summary -- 5 Linked Data -- 5.1 Weaving a Web of Data -- 5.2 HTTP and the Architecture of the Web -- 5.3 Hash or Slash -- 5.4 See It for Yourself&#x2026; -- 5.5 Summary -- 6 Querying the Semantic Web-SPARQL -- 6.1 Tell-and-Ask Systems -- 6.2 RDF as a Tell-and-Ask System -- 6.3 SPARQL-Query Language for RDF -- 6.4 CONSTRUCT Queries in SPARQL -- 6.5 Using Results of CONSTRUCT Queries -- 6.6 SPARQL Rules-Using SPARQL as a Rule Language -- 6.7 Transitive queries (SPARQL 1.1) -- 6.8 Advanced Features of SPARQL -- 6.9 Summary -- 7 Extending RDF: RDFS and SCHACL -- 7.1 Inference in RDF with RDFS -- 7.2 Where are the Smarts? -- 7.3 When Does "]
[{"$nulls":4},"Inferencing Happen? -- 7.4 Expectation in RDF -- 7.5 Summary -- 8 RDF Schema -- 8.1 Schema Languages and Their Functions -- 8.2 The RDF Schema Language -- 8.3 RDFS Modeling Combinations and Patterns -- 8.4 Challenges -- 8.5 Modeling with Domains and Ranges -- 8.6 Nonmodeling Properties in RDFS -- 8.7 Summary -- 9 RDFS-Plus -- 9.1 Inverse."]
[{"$nulls":4},"9.2 Managing Networks of Dependencies -- 9.3 Equivalence -- 9.4 Merging Data from Different Databases -- 9.5 Computing Sameness: Functional Properties -- 9.6 A Few More Constructs -- 9.7 Summary -- 10 Using RDFS-Plus in the Wild -- 10.1 Schema.org -- 10.2 Open Government Data -- 10.3 FOAF -- 10.4 Facebook's Open Graph Protocol -- 10.5 Summary -- 11 SKOS-Managing Vocabularies with RDFS-Plus -- 11.1 Simple Knowledge Organization System (SKOS) -- 11.2 Semantic Relations in SKOS -- 11.3 Concept Schemes -- 11.4 SKOS Integrity -- 11.5 SKOS in Action -- 11.6 Summary -- 12 Basic OWL -- 12.1 Restrictions -- 12.2 Challenge Problems -- 12.3 Alternative Descriptions of Restrictions -- 12.4 Summary -- 13 Counting and Sets in OWL -- 13.1 Unions and Intersections -- 13.2 Differentiating Multiple Individuals -- 13.3 Cardinality -- 13.4 Set Complement -- 13.5 Disjoint Sets -- 13.6 Prerequisites Revisited -- 13.7 Contradictions -- 13.8 Unsatisfiable Classes -- 13.9 Inferring Class Relationships -- 13.10 Reasoning with Individuals and with Classes -- 13.11 Summary -- 14 Ontologies on the Web-Putting It All Together -- 14.1 Ontology Architecture -- 14.2 Quantities, Units, Dimensions, and Types -- 14.3 Biological Ontologies -- 14.4 FIBO-The Financial Industry Business Ontology -- 14.5 Summary -- 15 Good and Bad Modeling Practices -- 15.1 Getting Started -- 15.2 Good Naming Practices -- 15.3 Common Modeling Errors -- 15.4 Summary -- 16 Expert Modeling in OWL -- 16.1 OWL Subsets and Modeling Philosophy -- 16.2 OWL 2 Modeling Capabilities -- 16.3 Summary -- 17 Conclusions and Future Work -- Bibliography -- Authors' Biographies -- Index."]
[null,null,null,"Sommario/riassunto","The Semantic Web treats data as a distributed resource on the scale of the World Wide Web, and incorporates features to address the challenges of massive data distribution as part of its basic design. The aim of the first two editions was to motivate the Semantic Web technology stack from end-to-end; to describe not only what the Semantic Web standards are and how they work, but also what their goals are and why they were designed as they are. It tells a coherent story from beginning to end of how the standards work to manage a world-wide distributed web of knowledge in a meaningful way. The third edition builds on this foundation to bring Semantic Web practice to enterprise. Fabien Gandon joins Dean Allemang and Jim Hendler, bringing with him years of experience in global linked data, to open up the story to a modern view of global linked data. While the overall story is the same, the examples have been brought up to date and applied in a modern setting, where enterprise and global data come together as a living, linked network of data. Also included with the third edition, all of the data sets and queries are available online for study and experimentation at data.world/swwo."]
[null,"2.","Record Nr.",null,"UNINA9910767550803321"]
[null,null,"Titolo",null,"Multiple Classifier Systems : First International Workshop, MCS 2000 Cagliari, Italy, June 21-23, 2000 Proceedings / / edited by Josef Kittler, Fabio Roli"]
[null,null,"Pubbl/distr/stampa",null,"Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2000"]
[null,null,"ISBN",null,"3-540-45014-9"]
[null,null,"Edizione",null,"[1st ed. 2000.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XII, 408 p.)"]
[null,null,"Collana",null,"Lecture Notes in Computer Science, , 1611-3349 ; ; 1857"]
[null,null,"Disciplina",null,"006.3/1"]
[null,null,"Soggetti",null,"Pattern recognition systems"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Computer vision"]
[{"$nulls":4},"Algorithms"]
[{"$nulls":4},"Computer science"]
[{"$nulls":4},"Automated Pattern Recognition"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Computer Vision"]
[{"$nulls":4},"Theory of Computation"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Bibliographic Level Mode of Issuance: Monograph"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references at the end of each chapters and index."]
[null,null,"Nota di contenuto",null,"Ensemble Methods in Machine Learning -- Experiments with Classifier Combining Rules -- The “Test and Select” Approach to Ensemble Combination -- A Survey of Sequential Combination of Word Recognizers in Handwritten Phrase Recognition at CEDAR -- Multiple Classifier Combination Methodologies for Different Output Levels -- A Mathematically Rigorous Foundation for Supervised Learning -- Classifier Combinations: Implementations and Theoretical Issues -- Some Results on Weakly Accurate Base Learners for Boosting Regression and Classification -- Complexity of Classification Problems and Comparative Advantages of Combined Classifiers -- Effectiveness of Error Correcting Output Codes in Multiclass Learning Problems -- Combining Fisher Linear Discriminants for Dissimilarity Representations -- A Learning Method of Feature Selection for Rough Classification -- Analysis of a Fusion Method for Combining Marginal Classifiers -- A hybrid projection based and radial basis function architecture -- "]
[{"$nulls":4},"Combining Multiple Classifiers in Probabilistic Neural Networks -- Supervised Classifier Combination through Generalized Additive Multi-model -- Dynamic Classifier Selection -- Boosting in Linear Discriminant Analysis -- Different Ways of Weakening Decision Trees and Their Impact on Classification Accuracy of DT Combination -- Applying Boosting to Similarity Literals for Time Series Classification -- Boosting of Tree-Based Classifiers for Predictive Risk Modeling in GIS -- A New Evaluation Method for Expert Combination in Multi-expert System Designing -- Diversity between Neural Networks and Decision Trees for Building Multiple Classifier Systems -- Self-Organizing Decomposition of Functions -- Classifier Instability and Partitioning -- A Hierarchical Multiclassifier System for Hyperspectral Data Analysis.-Consensus Based Classification of Multisource Remote Sensing Data -- Combining Parametric and Nonparametric Classifiers for an Unsupervised Updating of Land-Cover Maps -- A Multiple Self-Organizing Map Scheme for Remote Sensing Classification -- Use of Lexicon Density in Evaluating Word Recognizers -- A Multi-expert System for Dynamic Signature Verification -- A Cascaded Multiple Expert System for Verification -- Architecture for Classifier Combination Using Entropy Measures -- Combining Fingerprint Classifiers -- Statistical Sensor Calibration for Fusion of Different Classifiers in a Biometric Person Recognition Framework -- A Modular Neuro-Fuzzy Network for Musical Instruments Classification -- Classifier Combination for Grammar-Guided Sentence Recognition -- Shape Matching and Extraction by an Array of Figure-and-Ground Classifiers."]
[null,null,null,"Sommario/riassunto","This book constitutes the refereed proceedings of the First International Workshop on Multiple Classifier Systems, MCS 2000, held in Cagliari, Italy in June 2000.The 33 revised full papers presented together with five invited papers were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections on theoretical issues, multiple classifier fusion, bagging and boosting, design of multiple classifier systems, applications of multiple classifier systems, document analysis, and miscellaneous applications."]