Results 111 to 120 of about 3,445,897 (351)
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Advanced Intelligent Discovery, EarlyView.Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Semantic Web, 2010 Web search is a key technology of the Web, since it is the primary way to access content on the Web. Current standard Web search is essentially based on a combination of textual keyword search with an importance ranking of the documents depending on the link structure of the Web.
Fazzinga B., Lukasiewicz T.
openaire +4 more sources
Semantic Search for Enterprises Competencies Management
International Conference on Knowledge Engineering and Ontology Development, 2018 This paper presents a method for semantic search and retrieval in the context of networked enterprises that share services, competencies (knowledge), and a reference ontology (RO).
Anna Formica +3 more
semanticscholar +1 more source
Iranian Journal of Information Processing & Management, 2019 In order to increase relevant retrieved results and users satisfaction, information retrieval systems are seeking a way to change keyword-based search to concept-based search. These systems use the tools that can convert terms to concepts. Over the years,
Elmira Karimi +2 more
doaj
Large Language Model‐Based Chatbots in Higher Education
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
Search and Learn: Improving Semantic Coverage for Data-to-Text Generation
, 2022 Shailza Jolly +3 more
openalex +2 more sources
PAI-NET: Retrieval-Augmented Generation Patent Network Using Prior Art Information
SystemsSimilar patent document retrieval is an essential task that reduces the scope of patent claimants’ searches, and numerous studies have attempted to provide automated patent search services.
Kyung-Yul Lee, Juho Bai
doaj +1 more source
Advanced Intelligent Systems, EarlyView.This article offers a comprehensive review of topic modeling techniques, tracing their evolution from inception to recent developments. It explores methods such as latent Dirichlet allocation, latent semantic analysis, non‐negative matrix factorization, probabilistic latent semantic analysis, Top2Vec, and BERTopic, highlighting their strengths ...
Pratima Kumari +6 more
wiley +1 more source
Automatic Annotation and Semantic Search from Protégé [PDF]
, 2005 Semantic search has been one of the major envisioned benefits of the Semantic Web since its emergence in the late 90’s [1]. Our demo shows a proposal towards this goal.
Castells, Pablo +2 more
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