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19
An Efficient Unification Algorithm
 TRANSACTIONS ON PROGRAMMING LANGUAGES AND SYSTEMS (TOPLAS)
, 1982
"... The unification problem in firstorder predicate calculus is described in general terms as the solution of a system of equations, and a nondeterministic algorithm is given. A new unification algorithm, characterized by having the acyclicity test efficiently embedded into it, is derived from the nond ..."
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Cited by 332 (1 self)
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The unification problem in firstorder predicate calculus is described in general terms as the solution of a system of equations, and a nondeterministic algorithm is given. A new unification algorithm, characterized by having the acyclicity test efficiently embedded into it, is derived from the nondeterministic one, and a PASCAL implementation is given. A comparison with other wellknown unification algorithms shows that the algorithm described here performs well in all cases.
Complexity and Expressive Power of Logic Programming
, 1997
"... This paper surveys various complexity results on different forms of logic programming. The main focus is on decidable forms of logic programming, in particular, propositional logic programming and datalog, but we also mention general logic programming with function symbols. Next to classical results ..."
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Cited by 279 (56 self)
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This paper surveys various complexity results on different forms of logic programming. The main focus is on decidable forms of logic programming, in particular, propositional logic programming and datalog, but we also mention general logic programming with function symbols. Next to classical results on plain logic programming (pure Horn clause programs), more recent results on various important extensions of logic programming are surveyed. These include logic programming with different forms of negation, disjunctive logic programming, logic programming with equality, and constraint logic programming. The complexity of the unification problem is also addressed.
A Practical Soft Type System for Scheme
 In Proceedings of the 1994 ACM Conference on LISP and Functional Programming
, 1993
"... Soft type systems provide the benefits of static type checking for dynamically typed languages without rejecting untypable programs. A soft type checker infers types for variables and expressions and inserts explicit runtime checks to transform untypable programs to typable form. We describe a prac ..."
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Cited by 108 (4 self)
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Soft type systems provide the benefits of static type checking for dynamically typed languages without rejecting untypable programs. A soft type checker infers types for variables and expressions and inserts explicit runtime checks to transform untypable programs to typable form. We describe a practical soft type system for R4RS Scheme. Our type checker uses a representation for types that is expressive, easy to interpret, and supports efficient type inference. Soft Scheme supports all of R4RS Scheme, including procedures of fixed and variable arity, assignment, continuations, and toplevel definitions. Our implementation is available by anonymous FTP. The first author was supported in part by the United States Department of Defense under a National Defense Science and Engineering Graduate Fellowship. y The second author was supported by NSF grant CCR9122518 and the Texas Advanced Technology Program under grant 003604014. 1 Introduction Dynamically typed languages like Scheme...
Unification: A multidisciplinary survey
 ACM Computing Surveys
, 1989
"... The unification problem and several variants are presented. Various algorithms and data structures are discussed. Research on unification arising in several areas of computer science is surveyed, these areas include theorem proving, logic programming, and natural language processing. Sections of the ..."
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Cited by 105 (0 self)
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The unification problem and several variants are presented. Various algorithms and data structures are discussed. Research on unification arising in several areas of computer science is surveyed, these areas include theorem proving, logic programming, and natural language processing. Sections of the paper include examples that highlight particular uses
Explaining Type Inference
 Science of Computer Programming
, 1995
"... Type inference is the compiletime process of reconstructing missing type information in a program based on the usage of its variables. ML and Haskell are two languages where this aspect of compilation has enjoyed some popularity, allowing type information to be omitted while static type checking is ..."
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Cited by 53 (0 self)
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Type inference is the compiletime process of reconstructing missing type information in a program based on the usage of its variables. ML and Haskell are two languages where this aspect of compilation has enjoyed some popularity, allowing type information to be omitted while static type checking is still performed. Type inference may be expected to have some application in the prototyping and scripting languages which are becoming increasingly popular. A difficulty with type inference is the confusing and sometimes counterintuitive diagnostics produced by the type checker as a result of type errors. A modification of the HindleyMilner type inference algorithm is presented, which allows the specific reasoning which led to a program variable having a particular type to be recorded for type explanation. This approach is close to the intuitive process used in practice for debugging type errors. 1 Introduction Type inference refers to the compiletime process of reconstructing missing t...
Foundations of rulebased query answering
 IN REASONING WEB, INT. SUMMER SCHOOL, LNCS
, 2007
"... This survey article introduces into the essential concepts and methods underlying rulebased query languages. It covers four complementary areas: declarative semantics based on adaptations of mathematical logic, operational semantics, complexity and expressive power, and optimisation of query evalua ..."
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Cited by 15 (8 self)
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This survey article introduces into the essential concepts and methods underlying rulebased query languages. It covers four complementary areas: declarative semantics based on adaptations of mathematical logic, operational semantics, complexity and expressive power, and optimisation of query evaluation. The treatment of these areas is foundationoriented, the foundations having resulted from over four decades of research in the logic programming and database communities on combinations of query languages and rules. These results have later formed the basis for conceiving, improving, and implementing several Web and Semantic Web technologies, in particular query languages such as XQuery or SPARQL for querying relational, XML, and RDF data, and rule languages like the “Rule Interchange Framework (RIF) ” currently being developed in a working group of the W3C. Coverage of the article is deliberately limited to declarative languages in a classical setting: issues such as query answering in FLogic or in description logics, or the relationship of query answering to reactive rules and events, are not addressed.
Practical Soft Typing
, 1994
"... Soft typing is an approach to type checking for dynamically typed languages. Like a static type checker, a soft type checker infers syntactic types for identifiers and expressions. But rather than reject programs containing untypable fragments, a soft type checker inserts explicit runtime checks t ..."
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Cited by 10 (1 self)
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Soft typing is an approach to type checking for dynamically typed languages. Like a static type checker, a soft type checker infers syntactic types for identifiers and expressions. But rather than reject programs containing untypable fragments, a soft type checker inserts explicit runtime checks to ensure safe execution. Soft typing was first introduced in an idealized form by Cartwright and Fagan. This thesis investigates the issues involved in designing a practical soft type system. A soft type system for a purely functional, callbyvalue language is developed by extending the HindleyMilner polymorphic type system with recursive types and limited forms of union types. The extension adapts Remy's encoding of record types with subtyping to union types. The encoding yields more compact types and permits more efficient type inference than Cartwright and Fagan's early technique. Correctness proofs are developed by employing a new syntactic app...
Theorem proving with structure sharing and efficient unification
 University of Pisa
, 1977
"... Efficient proof checking The interest in automatic theorem proving, which was very high in the Al community in the late sixties, has decreased. One of the reasons was the impossibility by now of obtaining a theorem prover of wide applicability. In particular "complete" search strategies ba ..."
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Cited by 6 (1 self)
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Efficient proof checking The interest in automatic theorem proving, which was very high in the Al community in the late sixties, has decreased. One of the reasons was the impossibility by now of obtaining a theorem prover of wide applicability. In particular "complete" search strategies based on resolution have been heavily criticized. In fact it is felt that the cru cial problem is not to have an efficient prover but to be able to communicate with it and to drive it. It is also felt that efficiency improvements cannot increase significantly the performance. While this skepticism is partially justified in the case of automatic, theorem proving, we think that a careful complexity analysis may help in improving