Results 131 to 140 of about 247,759 (306)

MGKGR: Multimodal Semantic Fusion for Geographic Knowledge Graph Representation

Algorithms
Geographic knowledge graph representation learning embeds entities and relationships in geographic knowledge graphs into a low-dimensional continuous vector space, which serves as a basic method that bridges geographic knowledge graphs and geographic ...
Jianqiang Zhang, Renyao Chen, Shengwen Li, Tailong Li, Hong Yao   +4 more
doaj   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi, Ebrahim Norouzi, Kostiantyn Hubaiev, Jörg Waitelonis, Harald Sack   +4 more
wiley   +1 more source

Learning the Structure of Utility Graphs Used in Multi-issue Negotiation through Collaborative Filtering

, 2009
Graphical utility models represent powerful formalisms for modeling complex agent decisions involving multiple issues [2]. In the context of negotiation, it has been shown [10] that using utility graphs enables reaching Pareto-efficient agreements with a
Robu, V.; id_orcid, La Poutre, J.A., Poutré, J.A. (Han) La, Valentin Robu, Robu, V., Han La Poutré, La Poutre, Han, Robu, Valentin, Robu, V, Robu, V. (Valentin), Poutré, JA Han La, Poutré, Han, Poutré, la, J.A.   +12 more
core   +1 more source

Review of construction and reasoning methods for knowledge graphs in coal mining domain

Gong-kuang zidonghua
Knowledge from diverse data sources in the coal mining domain is extracted to construct a knowledge network. Leveraging reasoning technologies, this network supports equipment fault diagnosis, real-time safety risk warnings and responses, disaster cause ...
LUO Xiangyu, HUA Ying, WANG Xiping, XIE Panshi, WU Yongping   +4 more
doaj   +1 more source

Productivity‐Driven Optimization of Laser Powder Bed Fusion Parameters for IN718 Superalloy: Process Control, Microstructure, and Mechanical Properties

Advanced Engineering Materials, EarlyView.
This study demonstrates how optimizing laser power, scanning speed, and hatching distance in laser powder bed fusion can boost the productivity of Inconel 718 manufacturing by up to 29% while maintaining mechanical integrity. The work delivers a validated process window and cost–time analysis, offering industry‐ready guidelines for efficient additive ...
Amir Behjat, Guido Barale, John Stavridis, Ehsan Norouzi, Jin‐Yoo Suh, Dong‐Ik Kim, Luca Iuliano, Abdollah Saboori   +7 more
wiley   +1 more source

Situating graphs as workplace knowledge [PDF]

, 2007
We investigate the use and knowledge of graphs in the context of a large industrial factory. We are particularly interested in the question of "transparency", a question that has been extensively considered in the general literature on tool use, and more
Bakker, Arthur, Noss, R, Hoyles, C, Kent, Phillip, Noss, Richard, Bakker, A, Kent, P, Hoyles, Celia   +7 more
core  

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

Unifying Large Language Models and Knowledge Graphs: A Roadmap

Large language models (LLMs), such as ChatGPT and GPT4, are making new waves in the field of natural language processing and artificial intelligence, due to their emergent ability and generalizability. However, LLMs are black-box models, which often fall
Wang, Yufei, Chen, Chen, Wang, J, Wang, Y, Luo, L, Luo, Linhao, Pan, Shirui, Wu, X, Chen, C, Wang, Jiapu, Wu, Xindong, Pan, S   +11 more
core   +1 more source

Hierarchical Blockmodeling for Knowledge Graphs

Semantic Web: – Interoperability, Usability, Applicability
In this article, we investigate the use of probabilistic graphical models, specifically stochastic blockmodels, for the purpose of hierarchical entity clustering on knowledge graphs. These models, seldom used in the Semantic Web community, decompose a graph into a set of probability distributions. The parameters of these distributions are then inferred
Pietrasik, Marcin, Reformat, Marek, Wilbik, Anna   +2 more
openaire   +3 more sources