Results 91 to 100 of about 8,825 (227)
A Dynamic, Cost-Aware, Optimized Maintenance Policy for Interactive Exploration of Linked Data
Applied Sciences, 2019 Vast amounts of data, especially in biomedical research, are being published as Linked Data. Being able to analyze these data sets is essential for creating new knowledge and better decision support solutions.
Usman Akhtar +2 more
doaj +1 more source
Intelligent SPARQL Query Generation for Natural Language Processing Systems
IEEE Access, 2021 Developing question answering (QA) systems that process natural language is a popular research topic. Conventionally, when QA systems receive a natural language question, they choose useful words or phrases based on their parts-of-speech (POS) tags.
Yi-Hui Chen, Eric Jui-Lin Lu, Ting-An Ou
doaj +1 more source
The metadata ecosystem and AI: Enabling FAIR and AI‐ready data
AI Magazine, Volume 47, Issue 2, Summer 2026.Abstract Reproducibility is a foundational tenet of science. As artificial intelligence (AI) becomes increasingly embedded across science, the need to accurately document the provenance, structure, and behavior of training data, models, and workflows grows correspondingly. Metadata, understood as explicit and structured knowledge about data and related
Jane Greenberg +5 more
wiley +1 more source
<ul> <li>Upgrade to php 8.3, MongoDB 4.4.6, Corese 4.4.1</li> <li>Fixed Apache issue occuring under highload by adding custom prefork configuration (docker/build/sparql-micro-service/mpm_prefork.conf)</li> <li>Fixed ...
Michel, Franck
core +1 more source
Ontological Modeling of the Knowledge Base of Intellectual GIS of Digital Agriculture
Кібернетика та комп'ютерні технологіїIntroduction. The field of digital agriculture requires effective management of agricultural resources based on intelligent analysis of heterogeneous spatiotemporal data collected from various sensor sources.
Anisa Kasim, Masud Kasim
doaj +1 more source
Automatic Detection of Objects in 3D Point Clouds Based on Exclusively Semantic Guided Processes
ISPRS International Journal of Geo-Information, 2019 In the domain of computer vision, object recognition aims at detecting and classifying objects in data sets. Model-driven approaches are typically constrained through their focus on either a specific type of data, a context (indoor, outdoor) or a set of ...
Jean-Jacques Ponciano +2 more
doaj +1 more source
Advanced Intelligent Systems, Volume 8, Issue 6, June 2026.OntoLogX is an autonomous AI agent that uses large language models to transform unstructured cyber security logs into ontology grounded knowledge graphs. By integrating retrieval augmented generation, iterative correction, and a light‐weight log ontology, OntoLogX produces semantically consistent intelligence that links raw log events to MITRE ATT & CK
Luca Cotti +4 more
wiley +1 more source
Learning Commonalities in SPARQL [PDF]
, 2017 Finding the commonalities between descriptions of data or knowledge is a foundational reasoning problem of Machine Learning. It was formalized in the early 70's as computing a least general generalization (lgg) of such descriptions. We revisit this well-established problem in the SPARQL query language for RDF graphs.
El Hassad, Sara +2 more
openaire +2 more sources
Querying the web of data with low latency: high performance distributed SPARQL processing and benchmarking [PDF]
, 2014 The Web of Data extends the World Wide Web (WWW) in a way that applications can understand information and cooperate with humans on complex tasks. The basis of performing complex tasks is low latency queries over the Web of Data.
Wang, Xin
core
Energy Internet, Volume 3, Issue 1, Page 39-51, April 2026.ABSTRACT The development of autonomous electric vehicles (AEVs) represents the convergence of two simultaneous automotive revolutions: electric vehicles (EVs) and autonomous vehicles (AVs). AVs require sensors, decision‐making systems and actuation systems to achieve autonomous driving, whereas EVs require intelligent management and real‐time ...
Ohud Alsadi +5 more
wiley +1 more source