Results 81 to 90 of about 62,744 (317)

The Role of Actual and Purported Origin in e‐Commerce Wine Pricing: Evidence From Italian and French Names on Labels

open access: yesAgribusiness, EarlyView.
ABSTRACT The origin of a product, if associated with good quality, can contribute to building a positive collective reputation, leading to a potential price premium. However, it is conceivable that a producer markets a product by evoking symbols, images, words, and values typical of places other than where it was designed or produced, creating a ...
Annalisa Caloffi   +2 more
wiley   +1 more source

The Gene Ontology: enhancements for 2011 [PDF]

open access: yes, 2012
The Gene Ontology (GO) (http://www.geneontology.org) is a community bioinformatics resource that represents gene product function through the use of structured, controlled vocabularies.
Chan, J.   +3 more
core  

Determinants of Knowledge and Usage of Generative Artificial Intelligence in Agricultural Extension: Evidence From Tennessee Extension Personnel

open access: yesAgribusiness, EarlyView.
ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani   +3 more
wiley   +1 more source

Evaluation of controlled vocabularies by inter-indexer consistency [PDF]

open access: yes, 2011
Introduction. Several controlled vocabularies are used for indexing three journal articles to check if with a list of descriptors are achieved better or equals of consistency rates that with a standard thesaurus and augmented thesaurus. Method.
Gil-Leiva, Isidoro   +1 more
core  

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

open access: yesAdvanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian   +12 more
wiley   +1 more source

Towards a Southern African English Defining Vocabulary

open access: yesLexikos, 2014
Controlled defining vocabularies have been used regularly in lexicography since the 1970s. They are mostly employed in learners' and school dictionaries and have been used to ensure that the definitions are easily understood by the dictionary user, and ...
Lorna Hiles
doaj   +1 more source

Bridging the gap between social tagging and semantic annotation: E.D. the Entity Describer [PDF]

open access: yes, 2007
Semantic annotation enables the development of efficient computational methods for analyzing and interacting with information, thus maximizing its value.
Benjamin M. Good   +2 more
core   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

open access: yesAdvanced 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

Mapping an Information Model for Historic Built Heritage into the IndoorGML Standard: The Case of the Pitti Palace

open access: yesHeritage
The paper explores the significance of digitalization and spatial modeling for the preservation and management of cultural heritage, addressing challenges posed by architectural complexity and extensive data volumes and developing a tailored data model ...
Adele Meucci   +6 more
doaj   +1 more source

Developing the Quantitative Histopathology Image Ontology : A case study using the hot spot detection problem [PDF]

open access: yes, 2017
Interoperability across data sets is a key challenge for quantitative histopathological imaging. There is a need for an ontology that can support effective merging of pathological image data with associated clinical and demographic data.
Doyle, Scott   +6 more
core  

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