Results 61 to 70 of about 2,182,097 (283)

A Domain Ontology for Platform Ecosystems

, 2021
Platforms have disrupted several business sectors and daily life in general. Platforms facilitate collaboration between different partners, which leads to the emergence of an ecosystem. During recent years, both research fields platforms and ecosystems have made significant progress.
Corinna Zarnescu, Sebastian Dunzer
openaire   +3 more sources

Cerebrospinal Fluid Over Plasma Links Analytes to Cognitive Decline in Older Adults at Risk for Alzheimer's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To identify inflammatory analytes in cerebrospinal fluid (CSF) and plasma associated with cognitive decline in cognitively normal (CN) older adults at risk for Alzheimer's disease (AD). Methods In a longitudinal study of 118 CN older adults (65–80 years, 54% APOE ε4, 26% preclinical AD), 1331 CSF and 1501 plasma analytes were ...
Jagan A. Pillai, Audrey Zhu, Chunxuan Ma, Ming Wang, Yifan Yang, Lynn M. Bekris, Maria Khrestian, Frank P. DiFilippo, Mikhail Nasrallah, Aaron Burberry, James B. Leverenz, Yuan Hou, Feixiong Cheng, Stephen M. Rao   +13 more
wiley   +1 more source

A Practical Cybersecurity Ontology Generator Based on Hierarchical Clustering and Multi-way Tree

International Journal of Interactive Multimedia and Artificial Intelligence
Cybersecurity ontology development is typically carried out by cybersecurity experts and ontology engineers. While some existing works focus on extracting cybersecurity knowledge from either textual or structured data, few address the challenge of ...
Yixuan Wang, Bo Zhao, Xiaofu Song, Jiahui Zhu   +3 more
doaj   +1 more source

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi, Ebrahim Norouzi, Kostiantyn Hubaiev, Jörg Waitelonis, Harald Sack   +4 more
wiley   +1 more source

The Bone Dysplasia Ontology: integrating genotype and phenotype information in the skeletal dysplasia domain

BMC Bioinformatics, 2012
Background Skeletal dysplasias are a rare and heterogeneous group of genetic disorders affecting skeletal development. Patients with skeletal dysplasias suffer from many complex medical issues including degenerative joint disease and neurological ...
Groza Tudor, Hunter Jane, Zankl Andreas
doaj   +1 more source

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

DOLCE ergo SUMO: On Foundational and Domain Models in SWIntO (SmartWeb Integrated Ontology) [PDF]

, 2007
Oberle D, Ankolekar A, Hitzler P, et al. DOLCE ergo SUMO: On Foundational and Domain Models in SWIntO (SmartWeb Integrated Ontology). Journal of Web Semantics: Science, Services and Agents on the World Wide Web.
Schmidt, C, Sonntag, D., Micelli, Vanessa, Cimiano, Philipp, Stephan Baumann, Paul Buitelaar, Kiesel, Malte, Zhou, Jianshen, Malte Kiesel, Engel, Ralf, Vembu, Shankar, Philipp Cimiano, Vanessa Micelli, Weiten, Moritz, Babak Mougouie, Vembu, S., Oberle, Daniel, Reithinger, Norbert, Burkhardt, Felix, Jianshen Zhou, Pascal Hitzler, Mougouie, B., Felix Burkhardt, Schmidt, Christian, Christian Schmidt, Moritz Weiten, Massimo Romanelli, Sintek, Michael, Cimiano, Philipp ; https://orcid.org/, Shankar Vembu, Reithinger, N., Engel, R., Romanelli, Massimo, Ralf Engel, Hans-Peter Zorn, Burkhardt, F., Michael Sintek, Anupriya Ankolekar, Loos, Berenike, Porzel, R., Porzel, Robert, Mougouie, Babak, Baumann, Stephan, Micelli, V., Buitelaar, Paul, Norbert Reithinger, Zhou, J., Sonntag, Daniel, Robert Porzel, Daniel Oberle, Berenike Loos, Zorn, H.-P., Ankolekar, Anupriya, Hitzler, Pascal, Baumann, S., Zorn, Hans-Peter, Daniel Sonntag, Schmidt, C., N. Reithinger   +58 more
core   +1 more source

Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows

Advanced Engineering Materials, EarlyView.
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba, Sang‐Hyeok Lee, Christina Gasper, Martina Freund, Sandra Korte‐Kerzel, Ulrich Kerzel   +5 more
wiley   +1 more source

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

Advanced Engineering Materials, EarlyView.
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour, Prithwish Tarafder, Anton Wiberg, Huanyu Li, Johan Moverare, Patrick Lambrix   +5 more
wiley   +1 more source

Results from experiments in ontology learning including evaluation and recommendation [PDF]

, 2007
This document describes the Ontology Learning experiments we performed in order to recommend a set of ontology learning techniques to enhance the ontology engineering process in the fisheries domain in place at FAO. Experiments have been conceived in the
Caracciolo, Caterina, D'Aquin, Mathieu, Sabou, Marta, Voelker, Johanna, Peters, Wim   +4 more
core   +1 more source