Results 51 to 60 of about 16,056 (260)

Research on the Rough Extension of Ontology Description Language of SWRL

Journal of Electrical and Computer Engineering, 2016
Although ontology has strong ability to express knowledge, it is difficult to express uncertain or imprecise information using the language of ontology. In order to improve the ability to express uncertain information, this paper extends the Semantic Web
Xian-kun Zhang, Xin-ya Gao, Qian Zhang, Jia Jia   +3 more
doaj   +1 more source

Software Experience for an Ontology-Based Approach for the Definition of Alarms in Geographical Sensor Systems

IEEE Access, 2018
This paper presents a system based on ontologies for the definition of alarms in sensor systems. Although we consider that the ontology and the system are interesting themselves, we have a special impact on their experience with the software tools used ...
Evelio Gonzalez, Roberto Marichal, Alberto Hamilton   +2 more
doaj   +1 more source

LRG1 Drives Pathological Angiogenesis by Disrupting Neutrophil Mitochondrial Homeostasis in Bladder Cancer

Advanced Science, EarlyView.
In bladder cancer, LRG1 binds to ANXA2 to trigger mitochondrial ROS‐dependent NETosis. This pathogenic cascade actively uncouples endothelial‐mural cell interactions, driving profound vascular destabilization. Consequently, targeting the LRG1‐ANXA2 axis attenuates the neutrophil burden and induces structural vascular normalization, offering a powerful ...
Dongshan Chen, Cong Zhang, Song Xue, Yuan Zeng, Haochen Cui, Chenfei Wang, Jiayi Feng, Lei Yan, Yuanwei Zang   +8 more
wiley   +1 more source

Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents

Advanced Intelligent Discovery, EarlyView.
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer, Muhammad Nabeel Asim, Shan Munir, Andreas Dengel   +3 more
wiley   +1 more source

The Interoperability Challenge in DFT Workflows Across Implementations

Advanced Intelligent Discovery, EarlyView.
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen, Tushar Singh Thakur, Manuel Dillenz, Johan M. Carlsson, Celso R. C. Rêgo, Eibar Flores, Hamidreza Hajiyani, Felix Hanke, Juan María García Lastra, Wolfgang Wenzel, Nicola Marzari, Tejs Vegge, Giovanni Pizzi, Ivano E. Castelli   +13 more
wiley   +1 more source

Description Logics as Ontology Languages for the Semantic Web [PDF]

, 2005
The vision of a Semantic Web has recently drawn considerable attention, both from academia and industry. Description logics are often named as one of the tools that can support the Semantic Web and thus help to make this vision reality.
Franz Baader, Ian Horrocks 0001, Ulrike Sattler   +2 more
openaire   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

Artificial Intelligence‐Driven Network Pharmacology: A Methodological Paradigm Shift Bridging Traditional Wisdom and Modern Science

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang, Sile Hu, Rigahai Ji, Riguna A, Siqige Hao, Ma Zhuo, Yi‐Hung Chen, Bisihalatu Hu, Ulana Bai, Xigui Hada   +9 more
wiley   +1 more source

Benchmarking the Applicability of Ontology in Geographic Object-Based Image Analysis

ISPRS International Journal of Geo-Information, 2017
In Geographic Object-based Image Analysis (GEOBIA), identification of image objects is normally achieved using rule-based classification techniques supported by appropriate domain knowledge.
Sachit Rajbhandari, Jagannath Aryal, Jon Osborn, Rob Musk, Arko Lucieer   +4 more
doaj   +1 more source

Master narratives as “colonial propaganda” and counternarratives as “refusal”: How African Australians reimagine racial dignity in Australia

American Journal of Community Psychology, EarlyView.
Abstract This paper utilizes the concept of “colonial master narratives” to examine how racial propaganda is mobilized in the Australian imaginary to “flatten” the stories of Blac/k people and how African Australians deploy counternarratives to reject these racialized projections.
Kathomi Gatwiri, Samara Kim
wiley   +1 more source