Top Tweets for #knowledgeEngineering
Why AI Knowledge Engineering doesn't have to be boring https://t.co/9gpk9o3owS #KnowledgeEngineering #Systems #BusinessProcessesAutomation
📢 AI-Driven Knowledge Engineering for the Advancement of Modular Prosthetic Legs
by Zhuming Bi, et al.
🔗 https://t.co/wrbcwxFT9O
@purduefw
@MDPIEngineering
#prostheticlegs #artificialintelligence #knowledgeengineering #Microsoftcopilot #functionalrequirements #designsolutions

Building a massive LLM without a robust knowledge graph is just building a faster way to hallucinate. Data without structure isn't intelligence. It is just noise.Change my mind. 👇 #KnowledgeEngineering #AI #DataScience

5/10
Expert Systems mimic human decision-making using rule-based logic. They’re used in diagnostics, legal analysis, and financial advising to provide consistent, knowledge-driven recommendations.
#ExpertSystems #AI #DecisionSupport #KnowledgeEngineering #SmartSolutions #Automation

Join the conversation on how we can rigorously assess the capabilities of LMs in semantic technologies and structured knowledge generation. 📊🤖
#ELMKE2025 #LanguageModels #KnowledgeEngineering #Evaluation #SemanticWeb #AI #KnowledgeGraphs #LLMs #ESWC2025 #ResponsibleAI

🌐 Can you revolutionize Knowledge Graphs? We’re seeking innovative approaches to automate construction of ontologies. Help transform how data is organized and used. Submit your solution today on https://t.co/3rXtuwAZiz 💡
#KnowledgeGraphs #Ontology #AI #KnowledgeEngineering

Can Prolog build a list from facts, or is it more likely to form a band and plan a world tour?" 🎸🎶
Source: https://t.co/N58P3Jqamp
#ProgrammingLanguages #AI #KnowledgeEngineering #DataStructures #facts #prolog

A new playlist for Arabic @Wikidata Days 2024 on @YouTube: https://t.co/6NitMPbpE8. Full recordings will be available within a few hours. #SemanticWeb #KnowledgeEngineering.
Tomorrow the #EKAW2024 party will really kick off, but the proceedings are already available! Click on the link at https://t.co/y7qZTVCqB2 for temporary free access! #semweb #knowledgeengineering #knowledgemanagement #languagemodels #conference @ekawconference

1/7 Introducing KNOW—the Knowledge Navigator Ontology for the World—a comprehensive ontology framework designed to model real-world knowledge for AI systems. Join us at #EKAW24 to explore how KNOW bridges symbolic and sub-symbolic AI approaches. 🧠🌐
#KnowledgeEngineering #AI

We have an opening for a PhD position in #knowledgeengineering focused AI and domain expert workflows in scholarly applications with @LiseStork and @pgroth https://t.co/5hoTpdbgOD
Pretty full house at the #knowledgeengineering for #hybridintelligence tutorial at #hhai2024 #hike #CommonKADS @IlaTiddi

@eswc_conf Thanks again for the invitation. Looking forward to the next 20 years of #knowledgeengineering. Slides are here: https://t.co/Lgxow8regG
@Connected_Data @alexchaomander https://t.co/kxhLfb3yZq
Could GraphRAG be augmented with knowledge graph embeddings? (kg completion, distributional semantics, search)
Then symbolic knowledge graphs and LLMs would be fusing as part of a continuous #knowledgeengineering lifecycle.
🎉Our paper "Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey is released: KG-driven #multimodal (KG4MM) learning and Multi-Modal #KnowledgeGraph (MM4KG) & #LLM
🧐55 Pages, 11 Tabs, 13 Figs, 619 Citations
🌐https://t.co/UddnoH19as
📷 https://t.co/Rr6uIoyf90

@mattturck Where not to go
https://t.co/ANkyBuSqUi
We need #knowledgeengineering and model teaching with #VerifiableAI

🚨 The AI-powered internet is here. This is what is happening while you sleep and some of its legal implications:
➵ Social networks, news websites, media repositories, and every website we usually visit to consume or post content are becoming AI-Training-As-A-Service platforms. Through content licensing deals, the user content is transferred to AI companies (such as OpenAI) to train their AI models. Companies like Meta, which have the user data AND the AI models, are editing the Privacy Policy and the Terms of Service to state that all user data is fair game for training their AI.
➵ The remaining websites, including major e-commerce and gaming platforms, are heavily incorporating AI functionalities and tools and incentivizing users to create or edit content using AI.
➵ Given the ongoing cycle of data input, output, and recycling for AI training and the ubiquitous "create with AI" functionalities, it looks like soon, all the information available will be synthetic.
➵ This is the beginning of the transition from an ad-based internet into something else. This something else will be AI-powered, synthetic, fast-paced, personalized, biased, and with less human autonomy.
➵ Why less human autonomy? In the AI-powered internet, supporting autonomy is inefficient, as the AI-powered chatbot or agent can quickly output a single answer based on the whole internet (instead of a list of links, as in a search engine).
➵ The AI-generated output will be designed to please the user based on what the model already knows about the user and their biases.
➵ The model will also reflect its developers' biases, as they will be the decision-makers regarding which content should be allowed and which should not and what the model objectives, rules, and guardrails are.
➵ "Truth" and "facts" will become outdated concepts, as everything will be digested by immense AI models, synthesized, and personalized back to the user. There will be no place for consensus or universal truths. If you thought that there were "bubbles" in the ad-supported internet, this will not even be an issue in the new internet, as each one will have their own personalized AI-powered web.
➵ In terms of legal effects, besides the already existing AI-related challenges affecting data protection, consumer, and intellectual property law, I see big clashes in constitutional law, especially regarding free speech issues, which will be heavily modulated through AI systems' specifications.
➵ It will be difficult (if not impossible) to scrutinize and control every "free speech-related" micro decision by the AI model, especially when these decisions happen a billion times a day. As a result, AI systems (and their developers) will largely control how and what we can read, say, or think.
➵ I'm an optimistic person, and I think we'll find creative ways to overcome the ongoing and upcoming challenges. The earlier we notice the challenges, the better.

@sampullara @medriscoll @pinecone @qdrant_engine @trychroma @weaviate_io @milvusio Both ...
And when they do knowledge graph embeddings we will see better
https://t.co/hO3zqfqoHU
#datamanagement #knowledgeengineering

CleanGraph: Human-in-the-loop Knowledge Graph Refinement and Completion. https://t.co/4C2lhg1z1M
@ChenShani2 @ChombaBupe Good summary of types of ML
But no word on #knowledgegraph-s & embeddings?
Only a footnote about "Learning entity and relation embeddings for knowledge graph completion"!
A spoon of #knowledgeengineering could prevent a ton of GPU hiring & create more #smartdata
@keenuniverse
Explore our latest #blog post to explore the key components that make up these intelligent systems. Click the link to explore the inner workings of Expert Systems: https://t.co/1b7PMY7U6E
#ExpertSystems #KnowledgeEngineering #lingayasvidyapeeth #student #computerscience
New #SpecialIssue "Systems Engineering and Knowledge Management", edited by Prof. Dr. Vladimír Bureš. Deadline is 30 June 2024. Submissions are welcome until deadline!
https://t.co/vR3VKV1hog
#KnowledgeEngineering

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