TAILIEUCHUNG - Báo cáo khoa học: "What's in a Semantic Network?"

Ever since Woods's "What's in a Link" paper, there has been a growing concern for formalization in the study of knowledge representation. Several arguments have been made that frame representation languages and semantic-network languages are syntactic variants of the ftrst-order predicate calculus (FOPC). The typical argument proceeds by showing how any given frame or network representation can be mapped to a logically isomorphic FOPC representation. For the past two years we have been studying the formalization of knowledge retrievers as well as the representation languages that they operate on. . | What s in a Semantic Network James F. Allen Alan M. Frisch Computer Science Department The University of Rochester Rochester NY 14627 Abstract Ever since Woods s What s in a Link paper there has been a growing concern for formalization in the study of knowledge representation. Several arguments have been made that frame representation languages and semantic-network languages are syntactic variants of the first-order predicate calculus FOPC . The typical argument proceeds by showing how any given frame or network representation can be mapped to a logically isomorphic FOPC representation. For the past two years we have been studying the formalization of knowledge retrievers as well as the representation languages that they operate on. This paper presents a representation language in the notation of FOPC whose form facilitates the design of a semantic-network-like reưiever. 1. Introduction We are engaged in a long-term project to consưuct a system that can partake in extended English dialogues on some reasonably well specified range of topics. A major part of this effort so far has been the specification of a knowledge representation. Because of the wide range of issues that we are trying to capture which includes the representation of plans actions time and individuals beliefs and intentions it is crucial to work within a framework general enough to accommodate each issue. Thus we began developing our representation within the first-order predicate calculus. So far this has presented no problems and we aim to continue within this framework until some problem forces us to do otherwise. Given this framework we need to be able to build reasonably efficient systems for use in die project. In particular the knowledge representation must be able to support the natural language understanding task. This requừes that certain forms of inference must be made. Within a general theorem-proving framework however those inferences desired would be lost within a wide range of .

• Báo cáo khoa học
• Semantic Network
• Alan M
• Frisch
• Workshops
• scientific reports
• model language
• process natural language
• BMC Bioinformatics
• Heterogeneous network
• Semantic Medline database
• Unified medical language system
• Drug central
• Compound repositioning
• Tạp chí Khoa học
• The effective use of semantic mapping in vocabulary teaching
• Pharmaceutical students at Binh Dinh medical college
• Network to associate knowledge
• The feasibility and educational value of semantic mapping
• Building a Very Large Multilingual
• Long Papers
• báo cáo khoa học
• báo cáo ngôn ngữ
• ngôn ngữ tự nhiên
• A Semi Supervised Key Phrase Extraction Approach
• Learning from Title Phrases
• Document Semantic Network
• Fast Semantic Extraction
• Novel Neural Network Architecture
• Ronan Collobert
• mô hình ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• Non Literal Word Sense Identification
• Semantic Network Path Schemata
• Eric lverson
• Semantic network analysis
• Link prediction
• Meta path topological feature
• Machine learning
• Random forest
• Security Models Dolev Yao
• Semantic Security
• distributed system
• AdversaryModels
• network security
• programming languages​​
• computer networks
• information security
• IDS systems
• Professional Social Network System
• Producing Megamachines
• Web 2
• Mailing Lists
• Social Semantic Web
• Co Function network
• Gene ontology
• Semantic similarity
• Gene function annotation
• Journal of technology and science education
• Model detecting learning styles with artificial neural network
• Model detecting learning styles
• Artificial neural network
• Singular Value Decomposition
• Latent Semantic Indexing
• Bag of visual word
• Deep learning
• Similarity measure
• Similar images
• Semantic based image retrieval
• Convolutional neural network
• trình bày báo cáo
• tài liệu báo cáo khoa học
• nghiên cứu y học
• báo cáo y học
• kiến thức y học
• Disease associated gene
• Human phenotype ontology
• Random walk with restart algorithm
• Alzheimer’s disease