Results 101 to 110 of about 3,445,897 (351)

Semantic search in RealFoodTrade [PDF]

open access: yes, 2014
We present RealFoodTrade (RFT), a system that allows farmers\ud and fisher-\ud men to sell their products directly to the end-buyer. RFT mak\ud es use of Linked\ud Data sets, together with a domain ontology designed by expert\ud s, to perform\ud semantic search over products on sale. RFT employs geo-locat\ud ion technology\ud on mobile devices to match
Andrea Calì   +8 more
openaire   +2 more sources

Interpreting Arabic Transformer Models: A Study on XAI Interpretability for Quranic Semantic Search Models

open access: yesJordanian Journal of Computers and Information Technology
Transformers have shown their effectiveness in various machine learning tasks. However, their "black box" nature often obscures their decision-making processes, particularly in Arabic, posing a barrier to their broader adoption and trust.
Ahmad M. Mustafa   +3 more
doaj   +1 more source

Conversion Therapy for cT4b and M1 Esophageal Squamous Cell Carcinoma: A Comprehensive Systematic Review

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
We systematically reviewed conversion therapy for esophageal squamous cell carcinoma and propose a response‐based treatment strategy for cT4b and M1 disease. For cT4b, we emphasize definitive chemoradiotherapy with timed re‐evaluation and selective salvage or chemoselection to surgery; for M1, conversion is reserved for limited‐burden responders with ...
Eisuke Booka, Hiroya Takeuchi
wiley   +1 more source

The quest for information retrieval on the semantic web [PDF]

open access: yes, 2005
Semantic search has been one of the motivations of the Semantic Web since it was envisioned. We propose a model for the exploitation of ontology-based KBs to improve search over large document repositories.
Castells-Azpilicueta, Pablo   +2 more
core  

Semantic Clustering of Search Engine Results

open access: yesThe Scientific World Journal, 2015
This paper presents a novel approach for search engine results clustering that relies on the semantics of the retrieved documents rather than the terms in those documents.
Sara Saad Soliman   +2 more
doaj   +1 more source

A Smart Web-Based Geospatial Data Discovery System with Oceanographic Data as an Example

open access: yesISPRS International Journal of Geo-Information, 2018
Discovering and accessing geospatial data presents a significant challenge for the Earth sciences community as massive amounts of data are being produced on a daily basis. In this article, we report a smart web-based geospatial data discovery system that
Yongyao Jiang   +9 more
doaj   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

A structured model metametadata technique to enhance semantic searching in metadata repository [PDF]

open access: yes, 2010
This paper discusses on a novel technique for semantic searching and retrieval of information about learning materials. A novel structured metametadata model has been created to provide the foundation for a semantic search engine to extract, match and ...
Hamzah, Mohd. Isa   +3 more
core  

Measuring the relevance of retrieved images in search engines based on Persian language writing styles

open access: yesIranian Journal of Information Processing & Management, 2022
The aim of this study was to investigate the image retrieval from selected search engines according to the written and semantic features of Persian language and determine their relevance using recall and precision formulas and to identify the most ...
Yaghub Norouzi   +2 more
doaj  

Corpus processing service: A Knowledge Graph platform to perform deep data exploration on corpora

open access: yesApplied AI Letters, 2020
Knowledge Graphs have been fast emerging as the de facto standard to model and explore knowledge in weakly structured data. Large corpora of documents constitute a source of weakly structured data of particular interest for both the academic and business
Peter W. J. Staar   +2 more
doaj   +1 more source

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