Abstract: Knowledge compilation deals with the computational intractability of reasoning problems. To overcome this difficulty we provide three different compilation approaches to a first order knowledge base. The knowledge base Σ is preprocessed by unit resolution into an approximate knowledge base CKB(Σ) from which a subset of possible queries can be answered by unit refutation. The number of clauses obtained by each of the three methods is less than the number of clauses in the prime implicate set
Entity resolution is the process of determining whether a collection of entity representations refer...
Knowledge base construction (KBC) is the process of populating a knowledge base, i.e., a relational ...
AbstractIntegrating knowledge from multiple sources is an important aspect of automated reasoning sy...
Abstract: Knowledge compilation deals with the computational intractability of reasoning problems. T...
Knowledge compilation is a technique for dealing with computational in-tractability of propositional...
We show that many "critically constrained" Random 3SAT knowledge bases (KBs) and other KBs...
Knowledge compilation (KC) is a research topic which aims to investigate the possibility of circumve...
Knowledge compilation is concerned with compiling problems encoded in some input language into some ...
In Knowledge Compilation (KC) an intractable deduction problem KB ⊨ f is split into two phases: 1) K...
Pioneered two decades ago, knowledge compilation (KC) has been for a few years acknowledged as an im...
Researchers in the area of knowledge compilation are developing general purpose techniques for impro...
The field of Knowledge Representation is devoted to the study of how knowledge can be represented an...
Knowledge compilation is a common technique for propo-sitional logic knowledge bases. A given knowle...
This paper is concerned with knowledge compilation (KC), a family of approaches developed in AI for ...
Integrating knowledge from multiple sources is an important aspect of automated reasoning systems. I...
Entity resolution is the process of determining whether a collection of entity representations refer...
Knowledge base construction (KBC) is the process of populating a knowledge base, i.e., a relational ...
AbstractIntegrating knowledge from multiple sources is an important aspect of automated reasoning sy...
Abstract: Knowledge compilation deals with the computational intractability of reasoning problems. T...
Knowledge compilation is a technique for dealing with computational in-tractability of propositional...
We show that many "critically constrained" Random 3SAT knowledge bases (KBs) and other KBs...
Knowledge compilation (KC) is a research topic which aims to investigate the possibility of circumve...
Knowledge compilation is concerned with compiling problems encoded in some input language into some ...
In Knowledge Compilation (KC) an intractable deduction problem KB ⊨ f is split into two phases: 1) K...
Pioneered two decades ago, knowledge compilation (KC) has been for a few years acknowledged as an im...
Researchers in the area of knowledge compilation are developing general purpose techniques for impro...
The field of Knowledge Representation is devoted to the study of how knowledge can be represented an...
Knowledge compilation is a common technique for propo-sitional logic knowledge bases. A given knowle...
This paper is concerned with knowledge compilation (KC), a family of approaches developed in AI for ...
Integrating knowledge from multiple sources is an important aspect of automated reasoning systems. I...
Entity resolution is the process of determining whether a collection of entity representations refer...
Knowledge base construction (KBC) is the process of populating a knowledge base, i.e., a relational ...
AbstractIntegrating knowledge from multiple sources is an important aspect of automated reasoning sy...