Studying Three Abstract Artists Based on a Multiplex Network Knowledge Representation

A Network-Based Knowledge Representation and Its Natural Deduction System

We describe a knowledge representation scheme called K-NHT and a problem solving system called SNIFFER designed to answer queries using a K-NET knowledge base. K-NtT uses a partit ioned semantic net to combine the expressive capabilities of the f irst-order predicate calculus with linkage to procedural knowledge and with fu l l indexing of objects to the relationships in which they participate....

World Knowledge for Abstract Meaning Representation Parsing

In this paper we explore the role played by world knowledge in semantic parsing. We look at the types of errors that currently exist in a state-of-the-art Abstract Meaning Representation (AMR) parser, and explore the problem of how to integrate world knowledge to reduce these errors. We look at three types of knowledge from (1) WordNet hypernyms and super senses, (2) Wikipedia entity links, and...

An Abstract View on Modularity in Knowledge Representation

Modularity is an essential aspect of knowledge representation theory and practice. It has received substantial attention. We introduce model-based modular systems, an abstract framework for modular knowledge representation formalisms, similar in scope to multi-context systems but employing a simpler information-flow mechanism. We establish the precise relationship between the two frameworks, sh...

A network-centric knowledge representation system

A Knowledge Representation Semantic Network for a Natural Language Syntactic Analyzer Based on the UML

The need for improving software processes approximated the software engineering and artificial intelligence areas. Artificial intelligence techniques have been used as a support to software development processes, particularly through intelligent assistants that offer a knowledge-based support to software process’ activities. The context of the present work is a project for an intelligent assist...