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Everything about Knowledge-based system
Computer program that uses a knowledge base and reasoning to solve problems
A knowledge-based system (KBS) is a computer program that reasons and uses a knowledge base to solve complex problems. Knowledge-based systems were the focus of early artificial intelligence researchers in the 1980s. The term can refer to a broad range of systems. However, all knowledge-based systems have two defining components: an attempt to represent knowledge explicitly, called a knowledge base, and a reasoning system that allows them to derive new knowledge, known as an inference engine. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Knowledge-based systemA 5-minute orientation
- Skim a recent paper: Knowledge graph-based recommendation system enhanced by neural collaborative filtering and knowledge graph embeddingInfluential work since 2022
- Pick up a classic book: The data warehouse toolkitThe most-reprinted book on the subject
- Read the landmark paper: Ontology-based construction knowledge retrieval systemCited 51 times
- Go sideways: Knowledge representation and reasoningA closely related topic
- Go sideways: Reasoning systemA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Ontology-based construction knowledge retrieval system
SONIA: A knowledge-based scheduling system
Knowledge-based system for railway scheduling
Knowledge‐Based Planning System
Knowledge based decision support system
Knowledge-based knowledge acquisition for a statistical consulting system
Knowledge based manufacturing system (KBMS)
A Knowledge-based Operating System
🆕 Influential since 2022
Knowledge graph-based recommendation system enhanced by neural collaborative filtering and knowledge graph embedding
Transformer-based knowledge distillation for explainable intrusion detection system
Intelligent knowledge-based system to improve injection molding process
Knowledge-based tensor subspace analysis system for kinship verification
TranGDeepSC: Leveraging ViT knowledge in CNN-based semantic communication system
📚 Books worth reading
The data warehouse toolkitRalph Kimball, Margy Ross · 1996
Tools and Algorithms for the Construction and Analysis of SystemsArmin Biere · 2020
Foundations of Multi-Paradigm Modelling for Cyber-Physical SystemsPaulo Carreira · 2020
Proceedings of the IEEE/ACM International Conference on Developing and Managing Expert System ProgramsIEEE/ACM International Conference on Developing and Managing Expert System Programs (1991 Washington, D.C.), Jerald Feinstein · 1991
Expert systems for businessDarleen Pigford, Darleen V. Pigford · 1990- 📕Real-time Linked DataspacesEdward Curry · 2019
Principles of knowledge representation and reasoningInternational Conference on Principles of Knowledge Representation and Reasoning (4th 1994 Bonn, Germany), Jon Doyle · 1994
Knowledge representation and relation netsAletta E. Geldenhuys, Aletta E. Geldenhuys · 1999
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Knowledge representation and reasoning Knowledge representation (KR) aims to model information in a structured manner to formally represent it as knowledge in knowledge-based systems whereas…
- Reasoning system In information technology a reasoning system is a software system that generates conclusions from available knowledge using logical techniques such as…
- Symbolic artificial intelligence In artificial intelligence (AI), symbolic artificial intelligence (also known as classical artificial intelligence or logic-based artificial intelligence)…
- Blackboard system A blackboard system is an artificial intelligence approach based on the blackboard architectural model, where a common knowledge base, the "blackboard"…
- Expert system In artificial intelligence (AI), an expert system is a computer system emulating the decision-making ability of a human expert. Expert systems are designed…
- Deductive classifier A deductive classifier is a type of artificial intelligence inference engine. It takes as input a set of declarations in a frame language about a domain…
- Model-based reasoning In artificial intelligence, model-based reasoning refers to an inference method used in expert systems based on a model of the physical world. With this…
- Rule-based system In computer science, a rule-based system is a computer system in which domain-specific knowledge is represented in the form of rules and general-purpose…