(1999). Design knowledge representation in Prolog/Rex. Engineering Applications of Artificial Intelligence, Vol.12, No. 7, 221-228.Design knowledge representation in Prolog/Rex. Sanja Vranes,Mladen Stanojevic.
knowledge representationPROLOGdepreciationnatural language processingThis paper presents some original techniques for implementing accounting knowledge in PROLOG language. We will represent rules of operation of accounts, the texts of accounting operations, and how to compute the depreciation....
Invertible Bidirectional Metalogical Translation Between Prolog and RuleML for Knowledge Representation and QueryingThe paper presents BiMetaTrans(Prolog, RuleML), an invertible bidirectional metalogical translator across subsets of ISO Prolog and RuleML/XML 1.02 on the level of Negation-as-failure Horn ...
graph-neural-networksgraph-representation-learninginductive-learninglogical-reasoningheterogeneous-graphknowledge-graphsheterogeneous-graph-neural-network UpdatedJul 25, 2024 Python A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network (NAACL 2018) (Pytorch and Tensorflow) ...
and representation. Such transparency provides a prerequisite for human engagement[170]. The outcomes ofknowledge generationcan be represented as maps showing both cognitive and social landscape: a geometric map representing spatial, temporal, and thematic features in thephysical space; a semantic map re...
Repository files navigation README GPL-3.0 license krr-prolog-tut An under-construction tutorial for KR&R in Prolog (Knowledge Representation and Reasoning)About An under-construction tutorial for KR&R in Prolog (Knowledge Representation and Reasoning) Resources Readme License GPL-3.0 license Activ...
Project 2 Using Prolog as a Knowledge-Based System CSE 4/563, Knowledge Representation Due Tuesday, November 17, 2009 来自 cse.buffalo.edu 喜欢 0 阅读量: 40 作者: Professor Shapiro 摘要: Representing the KB, S, and the questions in Prolog presents some difficulties of its own, since Prolog...
Gordon, T.: Some Problems with PROLOG as a Knowledge Representation Language for Legal Expert Systems. In: Arnold, C. (ed.) Yearbook of Law, Computers & Technology, London, pp. 52–67 (1987)Gordon, T.: Some problems with prolog as a knowledge representation language for legal expert ...
Semantic networks are an important knowledge representation method which play a crucial role in machine learning and mathematics as well. To illustrate the idea of a semantic network, suppose we want to construct a semantic network with the semantic relation “is a part of”. Using our original ...
A list of recent papers about Graph Neural Network methods applied in NLP areas. natural-language-processingknowledge-graphquestion-answeringknowledge-representationgraph-convolutional-networksknowledge-based-systemspaperlistpaper-listgraph-neural-networkgraph-attention-networkheterogeneous-graphs ...