KNOWLEDGE-BASED definition | Cambridge English Dictionary
KNOWLEDGE-BASED meaning: used to describe a company, job, etc. that is based on the use of ideas and information: . Learn more.
Coalition-based Planning of Military Operations: Adversarial Reasoning Algorithms in an In…
Use of knowledge-based planning tools can help alleviate the challenges of planning a complex operation by a coalition of diverse parties in an adversarial environment. We explore these challenges and potential contributions of knowledge-based tools...
The Knowledge-Behaviour Disconnect in LLM-based Chatbots
Large language model-based artificial conversational agents (like ChatGPT) give answers to all kinds of questions, and often enough these answers are correct. Just on the basis of that capacity alone, we may attribute knowledge to them. But do these...
Knowledge-based XAI through CBR: There is more to explanations than models can tell
The underlying hypothesis of knowledge-based explainable artificial intelligence is the data required for data-centric artificial intelligence agents (e.g., neural networks) are less diverse in contents than the data required to explain the decisions...
Conducting Feasibility Studies for Knowledge Based Systems
This paper describes how to carry out a feasibility study for a potential knowledge based system application. It discusses factors to be considered under three headings: the business case, the technical feasibility, and stakeholder issues. It conclud...
yuanxiaosc/Schema-based-Knowledge-Extraction
Code for http://lic2019.ccf.org.cn/kg 信息抽取。使用基于 BERT 的实体抽取和关系抽取的端到端的联合模型。 (⭐ 288)
littlewwwhite/KnowledgeGraph-based-on-Raw-text-A27
基于大模型+知识图谱的知识库问答 (⭐ 478)
What Is a Knowledge-Based System? (With Types and Uses)
Dec 11, 2025 · In this article, we define what a knowledge-based system is, list some types of these systems, discuss some of their uses and explain some of the benefits and challenges of using …
Knowledge-Based Systems | Journal | ScienceDirect.com by Elsevier
Knowledge-based Systems is an international and interdisciplinary journal in the field of artificial intelligence. The journal will publish original, innovative and creative research results in the field, and …
Instance-based Learning for Knowledge Base Completion
In this paper, we propose a new method for knowledge base completion (KBC): instance-based learning (IBL). For example, to answer (Jill Biden, lived city,? ), instead of going directly to Washington D.C., our goal is to find Joe Biden, who has the sa...
Towards an AI-based knowledge assistant for goat farmers based on Retrieval-Augmented Gene…
Large language models (LLMs) are increasingly being recognised as valuable knowledge communication tools in many industries. However, their application in livestock farming remains limited, being constrained by several factors not least the availabil...
Stephen Wolfram on Knowledge-Based Programming
Points: 11 | Comments: 0 | Author: crablar
AI-Enhanced Sensemaking: Exploring the Design of a Generative AI-Based Assistant to Suppor…
Generative AI has the potential to transform knowledge work, but further research is needed to understand how knowledge workers envision using and interacting with generative AI. We investigate the development of generative AI tools to support domain...
Rich Event Modeling for Script Event Prediction
Script is a kind of structured knowledge extracted from texts, which contains a sequence of events. Based on such knowledge, script event prediction aims to predict the subsequent event. To do so, two aspects should be considered for events, namely,...
Association Rule Pruning based on Interestingness Measures with Clustering
Association rule mining plays vital part in knowledge mining. The difficult task is discovering knowledge or useful rules from the large number of rules generated for reduced support. For pruning or grouping rules, several techniques are used such...
Becoming a Knowledge Economy: the Case of Qatar, UAE and 17 Benchmark Countries
This paper assesses the performance of Qatar and the United Arab Emirates (UAE) in terms of their achievements towards becoming knowledge-based economies. This is done through a comparison against 17 benchmark countries using a four pillars' framewor...
Transformer-based Subject Entity Detection in Wikipedia Listings
In tasks like question answering or text summarisation, it is essential to have background knowledge about the relevant entities. The information about entities - in particular, about long-tail or emerging entities - in publicly available knowledge g...
ReasoningWeekly: A General Knowledge and Verbal Reasoning Challenge for Large Language Mod…
Existing benchmarks for frontier models often test specialized, "PhD-level" knowledge that is difficult for non-experts to grasp. In contrast, we present a benchmark with 613 problems based on the NPR Sunday Puzzle Challenge that requires only genera...
ARUQULA -- An LLM based Text2SPARQL Approach using ReAct and Knowledge Graph Exploration U…
Interacting with knowledge graphs can be a daunting task for people without a background in computer science since the query language that is used (SPARQL) has a high barrier of entry. Large language models (LLMs) can lower that barrier by providing...
Combating the Bucket Effect:Multi-Knowledge Alignment for Medication Recommendation
Medication recommendation is crucial in healthcare, offering effective treatments based on patient's electronic health records (EHR). Previous studies show that integrating more medication-related knowledge improves medication representation accuracy...