This section features new books of interest to scitech professionals.
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Citation analysis in research evaluation, by Henk F. Moed.
Series: Information science and knowledge management ; v. 9
Dordrecht; Springer, 2005.
Subjects: Bibliographical citations. Citation of archival materials.
Research, Evaluation. ISBN: 1402037139, 1402037147 (e-book).
On risk and disaster: lessons from Hurricane Katrina, edited by Ronald J. Daniels, Donald F. Kettl, and Howard Kunreuther; foreword by Amy Gutmann.
Philadelphia: University of Pennsylvania Press, 2006.
Subjects: Emergency management, Crisis management in government, Disaster relief, Risk perception, Risk assessment, Hurricane Katrina, 2005. ISBN: 0812219597.
Emergency response planning for corporate and municipal managers, by Paul A. Erickson.
Series: Butterworth-Heinemann homeland security series. 2nd ed. Amsterdam; Boston: Elsevier/Butterworth-Heinemann: Academic Press, 2006. ISBN: 0123705037.
Subjects: Emergency management. Contents: Scope of emergency response. Essentials of holistic planning and management. The emergency response plan. Physical and chemical hazards. Biohazards. Medical surveillance. Personal protective clothing and equipment. Hazard and risk reduction strategies. Decontamination. Data and information management. Monitoring strategies and devices. Terrorism. Personnel training.
Nanotechnology: basic calculations for engineers and scientists, by Louis Theodore.
Published: Hoboken, N.J: John Wiley & Sons, 2006. ISBN: 0471739510. Subjects: Nanotechnology. Content: Preface. Introduction. Solved Problems. PART 1: CHEMISTRY FUNDAMENTALS AND PRINCIPLES. 1. Units, Conversion Constants and Dimensional Analysis. 2. Atoms, Elements, and the Periodic Table. 3. Molecular/Rearrangements. 4. Concentration Terms. 5. Particle Size, Suface Area, and Volume. 6. Materials Sceince Principles. References. PART 2: PARTICLE TECHNOLOGY. 7. Nature of Particles. 8. Particle Size Distribution. 9. Particle Sizing and Measurement Methods. 10. Fluid Particle Dynamics. 11. Particle Collection Mechanisms. 12. Particle Collection Efficiencies. References. PART 3: APPLICATIONS. 13. Patents. 14. Size Reduction. 15. Prime Materials. 16. Production/Manufacturing Routes. 17. Ventilation. 18. Dispersion. 19. Ethics. References. PART 4: ENVIRONMENTAL CONCERNS. 20. Environmental Regulations. 21. Toxicology. 22. Non-carcinogens. 23. Carcinogens. 24. Health Risk Assessment. 25. Hazard Risk Assessment. 26. Epidemiology. References.
Handbook of international disaster psychology, edited by Gilbert Reyes and Gerard A. Jacobs; preface by Charles D. Spielberger; foreword by Benedetto Saraceno. Westport, Conn.: Praeger Publishers, 4 vols., 2006. ISBN: 0275983153.
Subjects: Disaster victims, Mental health. Disaster victims, Mental health services.
Disasters, Psychological aspects. Disaster relief, Psychological aspects. Humanitarian assistance, Psychological aspects. Community psychology.
Mathematics of quantum computation, edited by Goong Chen, and Ranee K. Brylinski.
Boca Raton: Chapman & Hall/CRC, 2002, ISBN: 1584882824.
Table of Contents:
PART I: QUANTUM ENTANGLEMENT, 1. ALGEBRAIC MEASURES OF ENTANGLEMENT, Jean-Luc Brylinski, 3. Introduction. Rank of a Tensor . Tensors in (C 2)Ä2. Tensors in (C 2)Ä3. Tensors in (C 2)Ä4.
KINEMATICS OF QUBIT PAIRS, Berthold-Geor Englert and Nasser Metwally, 25.
Introduction. Basic Classification of States. Projectors and Subspaces. Positivity and Separability. Lewenstein-Sanpera Decompositions. Examples.
INVARIANTS FOR MULTIPLE QUBITS: The Case of 3 Qubits, David A. Meyer and Noland Wallach, 77. Introduction. Invariants for Compact Lie Groups. The Simplest Cases. The Case of Three Qubits. A Basic Set of Invariants for Three Qubits. Some Implications for Other Representations.
PART II: UNIVERSALITY OF QUANTUM GATES. UNIVERSAL QUANTUM GATES, Jean-Luc Brylinski and Ranee Brylinski, 101. Statements of Main Results
Examples and Relations to Works of Other Authors. From Universality to Exact Universality. Analyzing the Lie Algebra g. Normalizer of H.
PART III: QUANTUM SEARCH ALGORITHMS. FROM COUPLED PENDULUMS TO QUANTUM SEARCH Lov K. Grover and Anirvan M. Sengupta, 119. Introduction. Classical Analogy. N Coupled Pendulums. The Algorithm. Towards Quantum Searching
The Quantum Search Algorithm. Why Does it Take O(vN) cycles?. Applications and Extensions.
GENERALIZATION OF GROVER'S ALGORITHM TO MULTIOBJECT SEARCH IN QUANTUM COMPUTING, Part I: Continuous Time and Discrete Time, Goon Chen, Stephen A,. Fulling, and Jeesen Chen, 135. Introduction. Analog Multiobject Quantum Search Algorithm. Discrete Time or "Digital" Case.
GENERALIZATION OF GROVER'S ALGORITHM TO MULTIOBJECT SEARCH IN QUANTUM COMPUTING, Part II: General Unitary Transformations, Goon Chen and Shunhua Sun, 162. Introduction. Multiobject Search Algorithm
PART III: QUANTUM COMPUTATIONAL COMPLEXITY. COUNTING COMPLEXITY AND QUANTUM COMPUTATION, Stephen A. Fenner, 171. Introduction. Equivalence of FQP and GapP. Strengths of the Quantum Model
Limitations of the Quantum Model.
PART IV: QUANTUM ERROR-CORRECTING CODES
ALGORITHMIC ASPECTS OF QUANTUM ERROR-CORRECTING CODES, Markus Grassl, 223. Introduction. General Quantum Error-Correcting Codes. Binary Quantum Codes. Additive Quantum Codes. Conclusions.
CLIFFORD CODES, Andreas Klappenecker and Martin Rotteler, 253. Introduction. Motivation. Quantum Error Control Codes. Nice Error Bases. Stabilizer Codes. Clifford Codes. Clifford Codes that are Stabilizer Codes. A Remarkable Error Group. A Weird Error Group. Conclusions.
PART V: QUANTUM COMPUTING ALGEBRAIC AND GEOMETRIC STRUCTURES. INVARIANT POLYNOMIAL FUNCTIONS ON K QUDITS, Jean-Luc Brylinski and Ranee Brylinski, 277. Introduction. Polynomial Invariants of Tensor States
The Generalized Determinant Function. Asymptotics as k ®8. Quartic Invariants of k Qubits.
Zs-SYSTOLIC FREEDOM AND QUANTUM CODES, Michael H. Freedman, David A. Meyer, and Feng Luo, 287. Preliminaries and Statement of Results. Mapping Torus Constructions. Verification of Freedom and Curvature Estimates. Quantum Codes from Riemannian Manifolds.
PART VI: QUANTUM TELEPORTATION, Kishore T. Kapale and M. Suhail Zubairy
Introduction, 323. Teleportation of a 2-State System. Discrete N-State Quantum Systems
Quantum Teleportation of Entangled State. Continuous Quantum Variable States. Concluding Remarks.
PART VII: QUANTUM SECURE COMMUNICATION AND QUANTUM CRYPTOGRAPHY. COMMUNICATING WITH QUBIT PAIRS, Almut Beige, Berthold-Georg Engler, Christian Kurtsiefer, and Harald Weinfurter, 360.
Introduction. The Mean King's Problem. Cryptography with Single Qubits
Cryptography with Qubit Pairs. Idealized Single-Photon Schemes. Direct Communication with Qubit Pairs.
PART VIII: COMMENTARY ON QUANTUM COMPUTING
TRANSGRESSING THE BOUNDARIES OF QUANTUM COMPUTATION: A CONTRIBUTION TO THE HERMENEUTICS OF THE NMR PARADIGM, Stephen A. Fulling, 406. Review of NMR Quantum Computing. Review of Modular Arithmetic.
A Proposed "Quantum" Implementation. Aftermath. Index, 421.
Link Analysis: An Information Science Approach, by Michael Arijan Thelwall. Amsterdam; Boston: Elsevier Academic Press, 2004. ISBN: 0120885530. Table of Contents: Part 1: Theory. Introduction, 1. Web crawlers and search engines, 9. The theoritical perspective for link counting, 23. Interpreting link counts: Random samples and correlations, 35. Part 2: Web structures. Link structures in the web graph, 47. The content structure of the web, 59. Part 3: Academic links. Universities: Link types, 69. Link models, 81. International links, 93. Department and subjects, 101. Journals and Articles, 109. Part 4: Applications. Search engines and web design, 119. A health clock for Spanish universities, 137. Personal web pages linking to universities, 145. Academic networks, 163. Business web sites, 173. Part 5: Tools and techniques. Using commercial search engines and the Internet Archive, 181. Personal crawlers, 189. Data cleasing, 199. Online university link databases, 203. Embedded link analysis methodologies, 209. Social network analysis, 213. Network visualizations, 219. Academic link indicators, 227. Part 6: Summary. Summary, 237. Glossary, 241. A SocSciBot tutorial, 245.

Communication Patterns of Engineers. Carol Tenopir, Donald W. King.
Table of Contents:
1. Introduction:
Focus of the Book,1. Structure of the Book, 6.
2. Communication Models.
Introduction, 11. Models of Communication Systems, 12. Models of Scholarly Journals, 14. Models of Information Seeking, 22.
3. A Communications Framework for Engineers.
Introduction, 27. Time Engineers Spend Communicating, 29. Engineers' Communication Channels, 31. Factors Affecting Engineers' Communication Choices, 35.
4. The Engineering Profession and Communication.
The Engineering Profession, 37. How Industry and Government Engineers Spend Their Time, 38. The Importance of Information Resources to Engineers' Work, 38. The Value of
5. Engineers' Information Seeking and Use.
Introduction, 57. Engineers' Channels for Information Seeking and Use, 58. Resources Used by Engineers for Information Seeking, 63.
6. Factors Affecting Information Seeking and Use.
Introduction, 71. Effects of Geographic and Cultural Differences on Information Seeking and Use, 72. Effects of the Nature of Work on Information Seeking and Use, 74. Effects of Organization Policies on Information Seeking and Use, 83. Effects of Personal Characteristics on Information Seeking and Use, 85.
7. Information Output by Engineers.
Introduction, 89. Channels Engineers Use to Communicate Information Output, 91. Resources and Tools Engineers Use for Communicating Information Output, 94. Communicating the Written Word, 95.
8. Engineering Education and Communication Skills.
Introduction, 99. Improving Engineers' Communication Skills, 100. Improving the Use of Communication Channels and Sources, 108.
9. The Engineering Scholarly Journal Channel.
Introduction, 113. Engineering and Science Journal Characteristics: 1977, 1995, and 2001, 114. Engineers' and Scientists' Authorship and
10. Engineers' Journal Information-Seeking and Reading Patterns in an Emerging Electronic Era.
Introduction, 133. Use, Usefulness, and Value of Articles to Engineers, 135. Where Engineers Get the Articles They Read, 139. Format of Articles Read, 140. How Engineers Learn About the Articles They Read, 141. Age of Articles Read, 143. Factors That Affect Use, 144.
11. Engineering Communication Patterns Compared with Science and Medicine.
Introduction, 149. Professions of Engineering, Science, and Medicine, 151. Communication Channels Used by Engineers, Scientists, and Medical Professionals, 155. Resources and Tools Used by Engineers Scientists, and Medical Professionals, 158.
12. The NASA/DOD Aerospace Knowledge Diffusion Research Project.
Introduction, 163. Focus on Commercial Aircraft Manufacturing in the United States, 164. Communication by
Summary, 181. Bibliography, 187. Index, 253. About the Authors, 265.

Testing Statistical Hypotheses, 3rd ed. E.L. Lehmann, Joseph P. Romano,
Table of Contents:
Small-Sample Theory.
1. The General Decision Problem.
Statistical Inference and Statistical Decisions,3. Specification of a Decision Problem 4. Randomization; Choice of Experiment,8. Optimum Procedures, 9. Invariance and Unbiased ness, 11. Bayes and Minimax Procedures,14. Maximum Likelihood,16. Complete Classes,17. Sufficient Statistics,18. Problems, 21. Notes, 27.
2. The Probability Background.
Probability and Measure, 28. Integration, 31. Statistics and Subfields, 34. Conditional Expectation and Probability, 36. Conditional Probability Distributions, 41. Characterization of Sufficiency, 44. Exponential Families, 46. Problems, 50. Notes, 55.
3. Uniformly Most Powerful Tests.
Stating The Problem, 56.The Neyman-Pearson Fundamental Lemma,59.p-values, 63. Distributions with Monotone Likelihood Ratio, 65. Confidence Bounds, 72. A Generalization of the Fundamental Lemma, 77. Two-Sided Hypotheses, 81. Least Favorable Distributions, 83. Applications to
4. Unbiasedness: Theory and First Applications.
Unbiasedness For Hypothesis Testing, 110. One-Parameter Exponential Families, 111. Similarity and Completeness, 115. UMP Unbiased Tests for Multiparameter Exponential Families, 119. Comparing Two Poisson or Binomial Populations, 124. Testing for
5. Unbiasedness: Applications to Normal Distributions.
Statistics Independent of a Sufficient Statistic, 150. Testing the Parameters of a Normal Distribution, 153. Comparing the Means and Variances of Two Normal Distributions, 157. Confidence Intervals and Families of Tests, 161. Unbiased Confidence Sets, 164. Regression, 168. Bayesian Confidence Sets, 171.Permutation Tests, 176. Most Powerful Permutation Tests, 177. Randomization As A Basis For Inference, 181. Permutation Tests and Randomization, 184. Randomization Model and Confidence Intervals, 187. Testing for
6. Invariance.
Symmetry and Invariance, 212. Maximal Invariants, 214. Most Powerful Invariant Tests, 218. Sample Inspection by Variables, 223. Almost Invariance, 225. Unbiasedness and Invariance, 229. Admissibility, 232. Rank Tests, 239. The Two-Sample Problem, 242. The Hypothesis of Symmetry, 246. Equivariant Confidence Sets, 248. Average Smallest Equivariant Confidence Sets, 251. Confidence Bands for a Distribution Function, 255. Problems, 257. Notes, 276.
7. Linear Hypotheses.
A Canonical Form, 277. Linear Hypotheses and Least Squares, 281.Tests of Homogeneity, 285. Two-Way Layout: One Observation per Cell, 287. Two-Way Layout: m Observations Per Cell, 290. Regression, 293. Random-Effects Model: One-way Classification, 297. Nested Classifications, 300. Multivariate Extensions, 304. Problems, 306. Notes, 317.
8. The Minimax Principle.
Tests with Guaranteed Power, 319. Examples, 322. Comparing Two Approximate Hypotheses, 326. Maximin Tests and Invariance, 329. The Hunt?Stein Theorem, 331. Most Stringent Tests, 337. Problems, 338. Notes, 347.
9. Multiple Testing and Simultaneous Inference.
Introduction and the FWER, 348. Maximin Procedures, 354. The Hypothesis of Homogeneity, 363. Scheff'e's S-Method: A Special Case, 375.Scheff'e's S-Method for General Linear Models, 380. Problems, 385. Notes, 391.
10. Conditional Inference.
Mixtures of Experiments, 392. Ancillary Statistics, 395. Optimal Conditional Tests, 400. Relevant Subsets, 404. Problems, 409. Notes, 414. Large-Sample Theory.
11. Basic Large Sample Theory.
Introduction,419. Basic Convergence Concepts, 424. Weak Convergence and Central Limit Theorems, 424. Convergence in Probability and Applications, 431. Almost Sure Convergence, 440. Robustness of Some Classical Tests, 444. Effect of Distribution, 444. Effect of Dependence, 448. Robustness in Linear Models, 451. Nonparametric Mean, 459. Edgeworth Expansions, 459. The t-test, 462. A Result of Bahadur and Savage, 466. Alternative Tests, 468. Problems, 469. Notes, 480.
12. Quadratic Mean Differentiable Families.
Introduction, 482. Quadratic Mean Differentiability (q.m.d.), 482. Contiguity, 492. Likelihood Methods in Parametric Models, 503. Efficient Likelihood Estimation, 504. Wald Tests and Confidence Regions, 508. Rao Score Tests, 511. Likelihood Ratio Tests, 513. Problems, 517. Notes, 525.
13. Large Sample Optimality.
Testing Sequences, Metrics, and Inequalities, 527. Asymptotic Relative Efficiency, 534. AUMP Tests in Univariate Models, 540. Asymptotically
14. Testing Goodness of Fit.
Introduction, 583. The Kolmogorov-Smirnov Test, 584. Simple Null Hypothesis, 584. Extensions of the Kolmogorov-Smirnov Test, 589. Pearson's Chi-squared Statistic, 590. Simple Null Hypothesis, 590. Chi-squared Test of Uniformity, 594. Composite Null Hypothesis, 597. Neyman's Smooth Tests, 599. Fixed k Asymptotics, 601. Neyman's Smooth Tests With Large k, 603. Weighted Quadratic Test Statistics, 607. Global Behavior of Power Functions, 616. Problems, 622. Notes, 629.
15. General Large Sample Methods.
Introduction, 631.Permutation and Randomization Tests, 632. The Basic Construction, 632. Asymptotic Results, 636. Basic Large Sample Approximations, 643. Pivotal Method, 644. Asymptotic Pivotal Method, 646. Asymptotic Approximation, 647. Bootstrap Sampling Distributions, 648. Introduction and Consistency, 648. The Nonparametric Mean, 653. Further Examples, 655. Stepdown Multiple Testing, 658. Higher Order Asymptotic Comparisons, 661. Hypothesis Testing, 668. Subsampling, 673. The Basic Theorem in the I.I.D. Case, 674. Comparison with the Bootstrap, 677. Hypothesis Testing, 680. Problems, 682. Notes, 690.
A. Auxiliary Results.
Equivalence Relations; Groups, 692. Convergence of Functions; Metric Spaces, 693. Banach and Hilbert Spaces, 696. Dominated Families of Distributions, 698. The Weak Compactness Theorem, 700. References, 702. Author Index, 757. Subject Index, 767.


Table of Contents:
1. Epistemology and Information Ecology.
Albrechtsen, H.; Jacob, E. K. The Role of Classificatory Structures as Boundary Objects in Information Ecologies, P.1-3. Deremetz, A. Metaphor, Organization and Building of Knowledge in Textual Sciences. P.4-12. Rouault, J. About Abductive Reasoning. P.13-17.
2. Cognitive Approaches to Knowledge Organization (A): Conceptual Entities and Modeling of Ontologies.
Fischer, D. From Thesauri towards Ontologies? P.18-30. Lee, M.; Mizoguchi, R. Ontology Models for Supporting Exploratory Information Needs. P.31-38. Jouis, C. System of Types + Inter-Concept Relations Properties: towards Validation of Constructed Terminologies? P.39-46.
3. Computational Models.
Gruselle, J.-P. A Cognitive Science System for Symbol Grounding. P.47-55. White, H. D.; Lin, X.; McCain, K. W. Two Modes of Automated Domain Analysis: Multidimensional Scaling vs. Kohonen Feature Mapping of Information Science. P.56-62. Polanco, X.; Francois, C.; Ould, A. An Artificial Neural Network Perspective on Knowledge Representation from Databases: the Use of a Multilayer Perceptron for Data Clusters Cartography. P.63-70. 4. Development and Analysis in Classification Systems. Sukiasyan, E. R. Classification Systems in their Historical Development: Problems of Typology and Terminology. P.71-78. Dahlberg, I. Classification Structure Principles: Investigations, Experiences and Conclusions. P.79-87. Beghtol, C. General Classification Systems: Structural Principles for Multidisciplinary Specification. P.88-95. McIlwaine, I. C. Knowledge Classifications, Bibliographic Classifications and the Internet. P.96-104.
5. Interdisciplinary Approaches to Knowledge Organization.
Larouk, O. Modeling Users Needs: Schema of Interrogation and Filtering the Answers from the Web in Cooperation Mode. P.105-114. Williamson, N. J. An Interdisciplinary World and Discipline Based Classification. P.115-123. Mylopoulos, J.; Jurisica, I.; Yu, E. Computational Mechanisms for Knowledge Organization. P.124-131.
5. Design of Information Systems (A) Thesaurus Design.
Bean, C. A. The Nature of Explicit Parent-Child Relationships in Mesh Tree Structures.
P.132-137. Hudon, M. A preliminary Investigation of the Usefulness of Semantic Relations and of Standardized Definitions for the Purpose of Specifying Meaning in a Thesaurus. P.138-144. Schmitz-Esser, W. Defining the Conceptual Space for a World Exhibition: First Experiences. P.145-151. Lykke Nielsen, M. Future Thesauri: What Kind of Structure and Relations do Searchers Need? P.152-159.
6. Design of Information Systems (B): Knowledge Structures at the Internet.
Ihadjadene, M.; Bouche, R. Using Syntagmatic Relationships as a Browsing Relevance Feedback Strategy in an WWW_OPACs Based on RAMEAU List: an Empirical Study.
P.160-166. Hetzler, E. G.; Harris, W. M. Visualizing the Full Spectrum of Document Relationships. P.167-174. Pollitt, S. The Application of the Dewey Decimal Classification in a View-Based Searching OPAC. P.175-182. Priss, U. A Graphical Interface for Conceptual Navigation in Faceted Thesauri or other Nested Hierarchies.
P.183-189. Vizine-Goetz, D. Dewey as an Internet Subject Guide. P. 190-196.
7. Linguistic Aspects (A).
Rahmstorf, G. Concept Structures for Large Vocabularies. P.197-201. Mustafa el Hadi, W. Automatic Term Recognition & Extraction Tools: Examining the New Interfaces and their Effective Communication Role in LSP Discourse. P.204-211. Bowker, L. Peering through the Linguistic Keyhole: What Can Term Choice Tell Us about. Knowledge Organization? P.212-227. Riesthuis, G. J. A. Breaking of UDC Subject Headings into Sets of Key Words. P.202-203.
8. The Comparative Approach.
Meo-Evoli, L.; Negrini, G.; Farnesi, T. ICC and ICS: comparison and relations between two systems based on different principles. P.228-236. Olson, H. A.; Ward, D. B. Charting a Journey across Knowledge domains: Feminism in the Dewey Decimal Classification. P.237-243.
9. Cognitive Approaches to Knowledge Organization (B): Applications: Image Retrieval.
Beebe, C.; Jacob, E. K. Graphic Language Documents: Structures and Functions.
P.244-254. Goodrum, A. A. A Cognitive Approach to Representing Moving Image Documents. P.255-262. Garia-Marco, F. J.; Agustin, C. Cognitive models in pictorial image retrieval. P.263-268.
10. Linguistic Aspects (B).
Beguin, A. Thesaurus Usage and Mental Development. P.269-275. Suominen, V. The Linguistic/Semiotic Conditions of Information Retrieval/Documentation in the Light of a Saussurean Conception of Language. P.276-283. Froissart, C.; Lallich-Boidin, G. Towards Structuring of Indexing Vocabulary for Large Technical Documents. P.284-292.
11. Design of Information Systems C: Design of Special-Purpose Systems of Knowledge.
Solomon, P. On the Use of Categorizations Employed in Research Reports as the Basis for Organizing Knowledge in Specific Domains: Exploring the Tension between Stability and Change in Systems of Categories. P.293-301. Metzger, J.-P.; Palermiti, R.; Moriset, C. Information Processes within a Professional Activity. P.302-311. Mounier, E.; Paganelli, C. Texts Structures and Information Retrieval in Large Textual Documents. P.312-318. Vidalenc, I.; Dupont, O. Knowledge Transfer in the Field of Telematics, in a Didactic Communicational Context Realized with Hypermedia Support. P.319-327.
12. Conceptual Modeling.
Green, R. Attribution and Relationality. P.328-335. Lacroix, S.; Marty, J.-C.; Roche, C. A Model of Ontologics by Differentiation. P.336-342. Nakamura, Y. Subdivisions vs. Conjunctions: a Discussion on Conceptual Theory. P.343-350. Phelan, A. Database and Knowledge Representation: the Greek Legacy. P.351-359.
12. User Profile modeling.
Howarth, L. C. Metadata Structures and User Preferences: Designing User-Focussed Knowledge Access System. P.360-366. Sallet Ferreira Novellino, M. Information Transfer Considering the Production and Use Contexts: Information Transfer Languages. P.367-371. Kolmayer, E.; Lavandier, J.; Roger, D. Conceptual Maps: Paradigmatic and Syntagmatic Links for Users. P.372-378.
13. Structures and Relations in the On-line Environment.
Van Der Walt, M. S. The Structure of Classification Schemes Used in Internet Search Engines. P.379-387. Kent, R. E. Organizing Conceptual Knowledge Online. P.388-395. Bartolo, L. M.; Zumer, M.; Cass, R.; Holmberg, L. The ALCOM/NIST Heterogeneous Structures Database: Knowledge Structure for Basic and Applied Research in an Interdisciplinary Scientific Collaboration. P.396-401. Lucas, H. Individual Differences and the Use of Medical World Wide Web Resources: The Use of Graphical Representations of Navigational Patterns to Support Traditional Analysis of Qualitative Data. P.402-408. Akaich, J.; Losfeld, G. Domain Knowledge Organization for Encyclopedia Design: an Object Oriented Approach. P.409-412.
14. Poster.
Conrad, J. G.; Dabney, D. P. The Structure of Judicial Opinions: Identifying Internal Components and their Relationships. P.413. Despres-Lonnet, M.; Briatte, K. External Dialog and Internal Structure of an Iconographic Database. P.414. Ghenima, M. A system of "computer-aided diacritisation" using a lexical database of arabic language. P.415. Ibekwe-Sanjuan, F. Towards an Elaborate Information System: Automatic Classification of Terms Using Variations Relations. P.416. Ladouceur, J.; Tajarobi, A. Computer-Assisted Plurilingual Reading System. P.417. Ma, Y.; Diodato, V. A Semiotic Analysis of Icons on the World Wide Web Library Homepages: an Analysis of Indexing and Use. P.418. Ouici, H.; Metzger, J. P. Internal Representation of Knowledge in an Interactive, Multimedia and Encyclopedia Oriented System. P.419. Oueslati, S. A User Model Based on the Evolution of Information need during a Document Search New Approaches. P.420. Paganelli, C.; Rouault, J. The Indexing of Technical Documents: the Use of a Knowledge Representation Model. P.421. Ros, C.; Matta, N. Understanding Information Retrieval: Analysis of Users' Activity. P.422. Sidhom, S. Automatic Indexing of Multimedia Documents Based on the Extraction of Nominal Phrases. P.423. Simard, A. J. Development of a Knowledge Infrastructure for the Canadian Forest Services. P.424-424.
List of Contributors. P. 425. Name and Subject Index. P. 433.



M.L. Sarnµe, 311. 15. Constructing Hybrid Intelligent Systems for Data Mining from Agent Perspectives, Zili Zhang and Chengqi Zhang, 333. 16. Making Agents Acceptable to People,
Jefrey M. Bradshaw, Patrick Beautement, Maggie R. Breedy, Larry Bunch, Sergey V. Drakunov, Paul J. Feltovich, Robert R. Holman, Renia Jefers, Matthew Johnson, Shriniwas Kulkarni, James Lott, Anil K. Raj, Niranjan Suri, and Andrzej Uszok, 361. Part IV. Emerging Soft Computing Technology. 17. Constraint-Based Neural Network Learning for Time Series Predictions, Benjamin W. Wah and Minglun Qian, 409. 18. Approximate Reasoning in Distributed Environments, Andrzej Skowron, 433. 19. Soft Computing Pattern Recognition, Data Mining and Web Intelligence, Sankar K. Pal, Sushmita Mitra, and Pabitra Mitra, 475. 20. Dominance-Based Rough Set Approach to Knowledge Discovery (I): General Perspective, Salvatore Greco, Benedetto Matarazzo, and Roman Slowinski, 513. 21. Dominance-Based Rough Set Approach to Knowledge Discovery (II): Extensions and Applications, Salvatore Greco, Benedetto Matarazzo, and Roman Slowinski , 553. Part V. Statistical Learning Theory. 22. Bayesian Ying Yang Learning (I): A United Perspective for Statistical Modeling, Lei Xu, 615. 23. Bayesian Ying Yang Learning (II): A New Mechanism for Model Selection and Regularization, Lei Xu, 661. References, 700. Author Index, 707. Subject Index, 709.


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