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Logic Programming

Overview of attention for book
Cover of 'Logic Programming'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Why Use Datalog to Analyze Programs?
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    Chapter 2 Semantic Web: The Story of the RIFt so Far
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    Chapter 3 Overcoming Performance Barriers: Efficient Verification Techniques for Logical Frameworks
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    Chapter 4 Tableau Calculi for Answer Set Programming
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    Chapter 5 Declarative Semantics of Production Rules for Integrity Maintenance
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    Chapter 6 Modules for Prolog Revisited
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    Chapter 7 A Local Algorithm for Incremental Evaluation of Tabled Logic Programs
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    Chapter 8 Memory Reuse for CHR
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    Chapter 9 Overlapping Rules and Logic Variables in Functional Logic Programs
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    Chapter 10 Towards “Propagation = Logic + Control”
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    Chapter 11 ACD Term Rewriting
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    Chapter 12 Detecting Determinacy in Prolog Programs
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    Chapter 13 Collapsing Closures
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    Chapter 14 Reduced Certificates for Abstraction-Carrying Code
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    Chapter 15 Proving Properties of Constraint Logic Programs by Eliminating Existential Variables
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    Chapter 16 Justifications for Logic Programs Under Answer Set Semantics
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    Chapter 17 Generality Relations in Answer Set Programming
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    Chapter 18 Cooperating Answer Set Programming
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    Chapter 19 Predicate Introduction Under Stable and Well-Founded Semantics
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    Chapter 20 Improving the ISO Prolog Standard by Analyzing Compliance Test Results
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    Chapter 21 TOAST: Applying Answer Set Programming to Superoptimisation
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    Chapter 22 Modelling Biological Networks by Action Languages Via Answer Set Programming
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    Chapter 23 Using Answer Set Programming for the Automatic Compilation of Assessment Tests
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    Chapter 24 Compositional Semantics for the Procedural Interpretation of Logic
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    Chapter 25 Coinductive Logic Programming
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    Chapter 26 Analysing and Extending Well-Founded and Partial Stable Semantics Using Partial Equilibrium Logic
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    Chapter 27 The Semantics of Nominal Logic Programs
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    Chapter 28 Macros, Macro Calls and Use of Ensembles in Modular Answer Set Programming
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    Chapter 29 Deductive Spreadsheets Using Tabled Logic Programming
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    Chapter 30 Using a Logic Programming Framework to Control Database Query Dialogues in Natural Language
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    Chapter 31 Declarative Diagnosis of Wrong Answers in Constraint Functional-Logic Programming
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    Chapter 32 Solving First-Order Constraints in the Theory of the Evaluated Trees
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    Chapter 33 Relaxation on Optimization Predicates
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    Chapter 34 Handling Incomplete and Complete Tables in Tabled Logic Programs
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    Chapter 35 An External Module for Implementing Linear Tabling in Prolog
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    Chapter 36 Using Combined Static Analysis and Profiling for Logic Program Execution Time Estimation
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    Chapter 37 Towards Region-Based Memory Management for Mercury Programs
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    Chapter 38 Towards Structured Contexts and Modules
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    Chapter 39 Towards Temporal Contextual Logic Programming
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    Chapter 40 Semantic Property Grammars for Knowledge Extraction from Biomedical Text
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    Chapter 41 Natural Language Processing Using Lexical and Logical Combinators
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    Chapter 42 Learning Semantic Parsers: A Constraint Handling Rule Approach
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    Chapter 43 Logic Programming
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    Chapter 44 Logic Programming in Knowledge Domains
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    Chapter 45 Logtalk Processing of STEP Part 21 Files
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    Chapter 46 Logic Programming
  48. Altmetric Badge
    Chapter 47 LMNtal as a Unifying Declarative Language: Live Demonstration
  49. Altmetric Badge
    Chapter 48 Declarative Problem Solving Using Answer Set Semantics
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    Chapter 49 The Design and Implementation of the YAP Compiler: An Optimizing Compiler for Logic Programming Languages
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    Chapter 50 Description Logic Reasoning in Prolog
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    Chapter 51 Static Memory Management for Logic Programming Languages
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    Chapter 52 Deductive Databases: Implementation, Parallelism and Applications
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    Chapter 53 Efficient Reasoning About Action and Change in the Presence of Incomplete Information and Its Application in Planning
  55. Altmetric Badge
    Chapter 54 Deducing Logic Programs
Overall attention for this book and its chapters
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

wikipedia
4 Wikipedia pages

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
7 Mendeley
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Title
Logic Programming
Published by
Lecture notes in computer science, January 2006
DOI 10.1007/11799573
ISBNs
978-3-54-036635-5, 978-3-54-036636-2
Authors

Sandro Etalle, Mirosław Truszczyński

Editors

Sandro Etalle, Mirosław Truszczyński

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 57%
Professor 1 14%
Professor > Associate Professor 1 14%
Unknown 1 14%
Readers by discipline Count As %
Computer Science 5 71%
Agricultural and Biological Sciences 1 14%
Unknown 1 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 March 2019.
All research outputs
#7,457,182
of 22,799,071 outputs
Outputs from Lecture notes in computer science
#2,487
of 8,127 outputs
Outputs of similar age
#40,096
of 154,420 outputs
Outputs of similar age from Lecture notes in computer science
#47
of 146 outputs
Altmetric has tracked 22,799,071 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,127 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 55% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 154,420 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 146 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.