Results 51 to 60 of about 346,128 (291)
The Effect of Semantic Mapping as a Vocabulary Instruction Technique on EFL Learners with Different Perceptual Learning Styles [PDF]
Journal of Applied Linguistics, 2009 Traditional and modern vocabulary instruction techniques have been introduced in the past few decades to improve the learners’ performance in reading comprehension.
Esmaeel Abdollahzadeh, Naser Amiri
doaj
Semantic Query Reformulation in Social PDMS [PDF]
, 2011 We consider social peer-to-peer data management systems (PDMS), where each peer maintains both semantic mappings between its schema and some acquaintances, and social links with peer friends.
Angela Bonifati +4 more
core +1 more source
Investigating the use of semantic technologies in spatial mapping applications [PDF]
, 2013 Semantic Web Technologies are ideally suited to build context-aware information retrieval applications. However, the geospatial aspect of context awareness presents unique challenges such as the semantic modelling of geographical references for efficient
Hague, J +4 more
core +1 more source
, 2019 A semantic map is a method for visually representing cross-linguistic regularity or universality in semantic structure. This method has proved attractive to typologists because it provides a convenient graphical display of the interrelationships between meanings or functions across languages, while (at the same time) differentiating what is universal ...
openaire +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 +2 more
wiley +1 more source
DS-SLAM: A Semantic Visual SLAM towards Dynamic Environments
, 2018 Simultaneous Localization and Mapping (SLAM) is considered to be a fundamental capability for intelligent mobile robots. Over the past decades, many impressed SLAM systems have been developed and achieved good performance under certain circumstances ...
Fei, Qiao +6 more
core +1 more source
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 +4 more
wiley +1 more source
Upgrading Relational Legacy Data to eh Semantic Web [PDF]
, 2006 In this poster, we describe a framework composed of the R2O mapping language and the ODEMapster processor to upgrade relational legacy data to the Semantic Web.
Barrasa Rodríguez, Jesús +1 more
core +1 more source
Volume-based Semantic Labeling with Signed Distance Functions
, 2015 Research works on the two topics of Semantic Segmentation and SLAM (Simultaneous Localization and Mapping) have been following separate tracks. Here, we link them quite tightly by delineating a category label fusion technique that allows for embedding ...
Cavallari, Tommaso, Di Stefano, Luigi
core +1 more source
Advanced Functional Materials, EarlyView.Vacuum‐based deposition is promising for perovskite solar cells to be successfully commercialized. However, co‐evaporation, the most common vapor phase deposition technique, suffers from very low deposition rates. In this work, we reveal that high deposition rates can lead to carbon flakes depositing into the perovskite absorber layers due to material ...
Thomas Feeney +13 more
wiley +1 more source