'Datalog' presentation slideshows

Datalog

Datalog. S. Costantini. Datalog base: notazione, esempi, semantica. Datalog. A language for Deductive Databases Extensional part: tables Intensional part: rules. Logic: Intuition. Datalog Terminology: Atoms.

1.02k views • 86 slides

Deductive databases

Deductive databases. Toon Calders t.calders@tue.nl. Important Information. This material was developed by Dr. Toon Calders and prof. Dr. Jan Paredaens at University of Technology, Eindhoven. The original document can be accessed at the following address:

919 views • 75 slides

Chapter 4: Advanced SQL

Chapter 4: Advanced SQL. Database System Concepts. Chapter 1: Introduction Part 1: Relational databases Chapter 2: Relational Model Chapter 3: SQL Chapter 4: Advanced SQL Chapter 5: Other Relational Languages Part 2: Database Design Chapter 6: Database Design and the E-R Model

867 views • 69 slides

Data Integration: The Teenage Years

Data Integration: The Teenage Years. Alon Halevy (Google) Anand Rajaraman (Kosmix) Joann Ordille (Avaya) VLDB 2006. Agenda. A few perspectives on the last 10 years Technical, commercial Perspectives from our personal paths Wild speculations about the future

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CS 321 Programming Languages and Compilers

CS 321 Programming Languages and Compilers. Prolog. Prolog. PROgramming LOGic Algorithm = Logic + Control Logic programming deals with computing relations rather than functions. To understand Prolog one must understand logic : the rules of deduction in first order logic

577 views • 33 slides

Extensions of Datalog

Extensions of Datalog. Wednesday, February 13, 2001. Outline. Non-recursive Datalog with negation Datalog with negation Stratified Datalog ? Inflationary Datalog ? Partial Datalog ? Query languages and complexity classes. [AHV] Chapters 14, 15, 17. Picture So Far. Recursive queries.

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Finite Model Theory Lecture 9

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Lecture 11: Datalog

Lecture 11: Datalog. Tuesday, February 6, 2001. Outline. Datalog syntax Examples Semantics: Minimal model Least fixpoint They are equivalent ? Naive evaluation algorithm Data complexity [AHV] chapters 12, 13. Motivation.

427 views • 28 slides

Lecture 11: Datalog

Lecture 11: Datalog. Tuesday, February 6, 2001. Outline. Datalog syntax Examples Semantics: Minimal model Least fixpoint They are equivalent ? Naive evaluation algorithm Data complexity [AHV] chapters 12, 13. Motivation.

285 views • 28 slides

On Answering Queries in the Presence of Limited Access Patterns

On Answering Queries in the Presence of Limited Access Patterns. Chen Li Stanford University joint work with Edward Chang, UC Santa Barbara. Harrison Ford. Air Force One. On Golden Pond. Oscar, Best Actor. Henry Fonda. On Golden Pond. On Golden Pond. Oscar, Best Actress. Kevin Spacey.

519 views • 27 slides

On Answering Queries in the Presence of Limited Access Patterns

On Answering Queries in the Presence of Limited Access Patterns. Chen Li Stanford University joint work with Edward Chang, UC Santa Barbara. Harrison Ford. Air Force One. On Golden Pond. Oscar, Best Actor. Henry Fonda. On Golden Pond. On Golden Pond. Oscar, Best Actress. Kevin Spacey.

348 views • 27 slides

Optimization

Optimization. Why Optimize?. Given a query of size n and a database of size m , how big can the output of applying the query to the database be? Example: Consider: R(A) with 2 rows. One row has value 0. One row has value 1. How many rows are in R x R? How many in R x R x R?

336 views • 26 slides

Datalog

Datalog. Inspired by the impedance mismatch in relational databases. Main expressive advantage: recursive queries. More convenient for analysis: papers look better. Without recursion but with negation it is equivalent in power to relational algebra

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Lois Delcambre lmd@cs.pdx 503 725-2405

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AL-Log

AL-Log. [Donini et al., 1998] Jos de Bruijn Digital Enterprise Research Institute jos.de-bruijn@{deri.at, deri.ie, uibk.ac.at}. Agenda. Motivation The structural subsystem: ALC The relational subsystem AL -log Hybrid Deduction Conclusion. Motivation.

206 views • 13 slides

Datalog

Datalog. Inspired by the impedance mismatch in relational databases. Main expressive advantage: recursive queries. More convenient for analysis: papers look better. Without recursion but with negation it is equivalent in power to relational algebra

221 views • 11 slides

Logic Based Query Languages

Logic Based Query Languages. Relational calculus:. Datalog: - enables expressing recursive queries - more convenient for analysis - without recursion but with negation it is equivalent in power to relational algebra. Datalog Concepts. Atoms Datalog rules, datalog programs

216 views • 11 slides

Datalog

Datalog. Inspired by the impedance mismatch in relational databases. Main expressive advantage: recursive queries. More convenient for analysis: papers look better. Without recursion but with negation it is equivalent in power to relational algebra

139 views • 11 slides

Chapter 5: Other Relational Languages

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10. Computational Complexity

10. Computational Complexity. For a fixed library of programs, users would be interested in data complexity. 10.2 Complexity of Relational Algebra. 10.3 Complexity of Datalog. 10.4 Complexity of Stratified Datalog.

237 views • 5 slides