Results 61 to 70 of about 141,795 (316)

Semantic web technologies for video surveillance metadata [PDF]

open access: yes, 2012
Video surveillance systems are growing in size and complexity. Such systems typically consist of integrated modules of different vendors to cope with the increasing demands on network and storage capacity, intelligent video analytics, picture quality ...
De Potter, Pieterjan   +3 more
core   +1 more source

Challenges and Future Directions in Assessing the Quality and Completeness of Advanced Materials Safety Data for Re‐Usability: A Position Paper From the Nanosafety Community

open access: yesAdvanced Sustainable Systems, EarlyView.
Nanosafety data provide a guiding example for establishing best practices in data management, aligning with FAIR principles and quality criteria. This review explores existing quality assessment approaches for reliability, relevance, and completeness, emphasizing the need for harmonization and adaptation to nanomaterials and advanced materials. The aim
Verónica I. Dumit   +43 more
wiley   +1 more source

Data Model and Query Constructs for Versatile Web Query Languages [PDF]

open access: yes, 2006
As the Semantic Web is gaining momentum, the need for truly versatile query languages becomes increasingly apparent. A Web query language is called versatile if it can access in the same query program data in different formats (e.g. XML and RDF). Most
Bry, François   +2 more
core   +2 more sources

Accurate Identification of Protein Binding Sites for All Drug Modalities Using ALLSites

open access: yesAdvanced Science, EarlyView.
ALLSites is a unified sequence‐based framework for identifying proteome‐wide binding sites across all drug modalities. It integrates a gated convolutional network with a transformer architecture to capture residue interactions directly from the sequence.
Minjie Mou   +14 more
wiley   +1 more source

An Ontology-Based Approach for Heart Disease Prediction Leveraging Decision Trees in Healthcare

open access: yesInternational Journal of Computational Intelligence Systems
An ontology-driven system for the diagnosis of heart disease combines data-driven methods with semantic reasoning. The dataset consists of major healthcare attributes like patient information, clinical findings, and diagnostic indicators.
U. Priyadharshini, R. Vijayan
doaj   +1 more source

BIM semantic-enrichment for built heritage representation [PDF]

open access: yes, 2018
In the built heritage context, BIM has shown difficulties in representing and managing the large and complex knowledge related to non-geometrical aspects of the heritage.
Acierno, Marta   +2 more
core   +1 more source

CACLENS: A Multitask Deep Learning System for Enzyme Discovery

open access: yesAdvanced Science, EarlyView.
CACLENS, a multimodal and multi‐task deep learning framework integrating cross‐attention, contrastive learning, and customized gate control, enables reaction type classification, EC number prediction, and reaction feasibility assessment. CACLENS accelerates functional enzyme discovery and identifies efficient Zearalenone (ZEN)‐degrading enzymes.
Xilong Yi   +5 more
wiley   +1 more source

A semantic web rule and ontologies based architecture for diagnosing breast cancer using select and test algorithm

open access: yesComputer Methods and Programs in Biomedicine Update, 2021
Background and Objective: Breast cancer is widely known as the most lethal and chronic disease among women. Computational techniques have been applied to support and aid early detection of the disease.
Olaide Nathaniel Oyelade   +3 more
doaj   +1 more source

Gasping for AIR Why we need Linked Rules and Justifications on the Semantic Web [PDF]

open access: yes, 2010
The Semantic Web is a distributed model for publishing, utilizing and extending structured information using Web protocols. One of the main goals of this technology is to automate the retrieval and integration of data and to enable the inference of ...
Jacobi, Ian   +2 more
core   +1 more source

An ontology framework for developing platform-independent knowledge-based engineering systems in the aerospace industry [PDF]

open access: yes, 2014
This paper presents the development of a novel knowledge-based engineering (KBE) framework for implementing platform-independent knowledge-enabled product design systems within the aerospace industry.
Sanya, I. O., Shehab, Essam
core   +1 more source

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