'...recommend the book to all people from database and knowledge communities who want to move their research and practice to more advanced innovative systems.' Zentralblatt MATH, 910 (1999)

• 1. Conceptual Modeling of Knowledge Bases.- 2. Relational Databases.- 3. Object-Relational Databases.- 4. Reaction Rules.- 5. Deduction Rules.- 6. Principles of Positive Knowledge Systems.- 7. Temporal Databases.- 8. Fuzzy Databases.- 9. Further Examples of Positive Knowledge Systems.- 10. Principles of Non-Positive Knowledge Systems.- 11. Relational Factbases.- 12. Possibilistic Databases.- 13. Further Examples of Non-Positive Knowledge Systems.- 14. Communication and Cooperation.- 15. Deductive Knowledge Systems.- 16. Advanced Knowledge and Reasoning Services.- Appendices.- A— Partial Logics with Two Kinds of Negation.- A.1 Preliminaries.- A.2 Partial Models.- A.3 Classical Logic as a Special Case of Partial Logic.- A.3.1 From Partial to Classical Logic.- A.3.2 Confusing Semi-Partial Logic with Classical Logic.- B— Compositional Possibilistic Logic.- B.1 Introduction.- B.2 Preliminaries.- B.3 The Logical Semantics Problem of Reasoning with Uncertainty.- B.3.1 A Natural Solution.- B.3.2 The Non-Compositional Possibility-Theoretic Approach.- B.4 Semi-Possibilistic Logic.- B.5 Compositional Possibilistic Logic.- C— On the Logic of Temporally Qualified Information.- C.1 Syntax.- C.2 Semantics.- C.3 From Timepoints to Timestamps and Vice Versa.- C.4 Minimal Models.- References.

'...recommend the book to all people from database and knowledge communities who want to move their research and practice to more advanced innovative systems.' Zentralblatt MATH, 910 (1999)

• 1. Conceptual Modeling of Knowledge Bases.- 2. Relational Databases.- 3. Object-Relational Databases.- 4. Reaction Rules.- 5. Deduction Rules.- 6. Principles of Positive Knowledge Systems.- 7. Temporal Databases.- 8. Fuzzy Databases.- 9. Further Examples of Positive Knowledge Systems.- 10. Principles of Non-Positive Knowledge Systems.- 11. Relational Factbases.- 12. Possibilistic Databases.- 13. Further Examples of Non-Positive Knowledge Systems.- 14. Communication and Cooperation.- 15. Deductive Knowledge Systems.- 16. Advanced Knowledge and Reasoning Services.- Appendices.- A— Partial Logics with Two Kinds of Negation.- A.1 Preliminaries.- A.2 Partial Models.- A.3 Classical Logic as a Special Case of Partial Logic.- A.3.1 From Partial to Classical Logic.- A.3.2 Confusing Semi-Partial Logic with Classical Logic.- B— Compositional Possibilistic Logic.- B.1 Introduction.- B.2 Preliminaries.- B.3 The Logical Semantics Problem of Reasoning with Uncertainty.- B.3.1 A Natural Solution.- B.3.2 The Non-Compositional Possibility-Theoretic Approach.- B.4 Semi-Possibilistic Logic.- B.5 Compositional Possibilistic Logic.- C— On the Logic of Temporally Qualified Information.- C.1 Syntax.- C.2 Semantics.- C.3 From Timepoints to Timestamps and Vice Versa.- C.4 Minimal Models.- References.

'...recommend the book to all people from database and knowledge communities who want to move their research and practice to more advanced innovative systems.' Zentralblatt MATH, 910 (1999)

• 1. Conceptual Modeling of Knowledge Bases.- 2. Relational Databases.- 3. Object-Relational Databases.- 4. Reaction Rules.- 5. Deduction Rules.- 6. Principles of Positive Knowledge Systems.- 7. Temporal Databases.- 8. Fuzzy Databases.- 9. Further Examples of Positive Knowledge Systems.- 10. Principles of Non-Positive Knowledge Systems.- 11. Relational Factbases.- 12. Possibilistic Databases.- 13. Further Examples of Non-Positive Knowledge Systems.- 14. Communication and Cooperation.- 15. Deductive Knowledge Systems.- 16. Advanced Knowledge and Reasoning Services.- Appendices.- A— Partial Logics with Two Kinds of Negation.- A.1 Preliminaries.- A.2 Partial Models.- A.3 Classical Logic as a Special Case of Partial Logic.- A.3.1 From Partial to Classical Logic.- A.3.2 Confusing Semi-Partial Logic with Classical Logic.- B— Compositional Possibilistic Logic.- B.1 Introduction.- B.2 Preliminaries.- B.3 The Logical Semantics Problem of Reasoning with Uncertainty.- B.3.1 A Natural Solution.- B.3.2 The Non-Compositional Possibility-Theoretic Approach.- B.4 Semi-Possibilistic Logic.- B.5 Compositional Possibilistic Logic.- C— On the Logic of Temporally Qualified Information.- C.1 Syntax.- C.2 Semantics.- C.3 From Timepoints to Timestamps and Vice Versa.- C.4 Minimal Models.- References.