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Knowledge-representation is a field of artificial intelligence that focuses on designing computer representations that capture information about the world that can be used for solving complex problems. The justification for knowledge representation is that conventional procedural code is not the best … 展开
Knowledge representation and reasoning (KRR, KR&R, KR²) is the field of artificial intelligence (AI) dedicated to representing information about the world in a form that a computer system can … 展开
In 1985, Ron Brachman categorized the core issues for knowledge representation as follows:
• Primitives. … 展开• What is a Knowledge Representation? by Randall Davis and others
• Introduction to Knowledge Modeling by Pejman Makhfi
• Introduction to Description Logics course by Enrico Franconi, Faculty of Computer Science, Free University … 展开The earliest work in computerized knowledge representation was focused on general problem-solvers such as the General Problem Solver (GPS) system developed by 展开
In the early years of knowledge-based systems the knowledge-bases were fairly small. The knowledge-bases that were meant to actually solve real problems rather than do proof of concept demonstrations needed to focus on well defined problems. So for … 展开
• Ronald J. Brachman; What IS-A is and isn't. An Analysis of Taxonomic Links in Semantic Networks; IEEE Computer, 16 (10); October 1983 展开
CC-BY-SA 许可证中的维基百科文本 Class (knowledge representation) - Wikipedia
In knowledge representation, a class is a collection of individuals or individuals objects. A class can be defined either by extension (specifying members), or by intension (specifying conditions), using what is called in some ontology languages like OWL. According to the type–token distinction, the ontology is divided into individuals, who are real worlds objects, or events, and types, or classes, who are sets of real world objects. Class expressions or definitions gives the propertie…
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Knowledge Representation and Reasoning - Wikiversity
网页2015年3月12日 · Knowledge can be represented within the machine environment using several different approaches. The most common approach is with propositional calculus …
Knowledge graph embedding - Wikipedia
网页In representation learning, knowledge graph embedding (KGE), also referred to as knowledge representation learning (KRL), or multi-relation learning, [1] is a machine …
网页• What Should A Representation Be? • What Consequences Does This View Have For Research And Practice? – One answer to a foundational question – The “spirit” of a …
Knowledge Representation - SpringerLink
网页Knowledge representation refers to the technical problem of encoding human knowledge and reasoning (Automated Reasoning) into a symbolic language that enables it to be …
Knowledge Representation | The Oxford Handbook of Thinking …
网页In this chapter, I define the concept of a representation. Then, I review three broad types of representations that have been incorporated into many theories. Finally, I examine …
12.3: Computational Knowledge Representation
网页2022年4月10日 · Most knowledge representation applications are developed for a specific purpose, for example a digital map for robot navigation or a graph like account of events …
Wikidata as Semantic Infrastructure: Knowledge …
网页2023年9月6日 · We asked what the contingencies for knowledge representation and data labor are in achieving infrastructural goals for Wikidata. Regarding knowledge representation, Wikidata’s …
网页Philipp Koehn Artificial Intelligence: Knowledge Representation 14 March 2019. Hierarchies and Inheritance10. Hierarchy (or taxonomy) is a natural way to structure …
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