Results 81 to 90 of about 491,544 (310)

Performing ontology

open access: yesSocial Studies of Science, 2014
Ontology, and in particular, the so-called ontological turn, is the topic of a recent themed issue of Social Studies of Science (Volume 43, Issue 3, 2013). Ontology, or metaphysics, is in philosophy concerned with what there is, how it is, and forms of being.
openaire   +4 more sources

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

open access: yesAdvanced 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   +4 more
wiley   +1 more source

Battery-Value-Chain-Ontology/ontology: v0.3.0

open access: yes, 2023
<p><strong>Full Changelog</strong>: <a href="https://github.com/Battery-Value-Chain-Ontology/ontology/compare/v0.2.0...v0.3.0">https://github.com/Battery-Value-Chain-Ontology/ontology/compare/v0.2.0...v0.3.0</a></p ...
Simon Stier
core   +1 more source

Analogicity in Computer Science. Methodological Analysis

open access: yesStudies in Logic, Grammar and Rhetoric, 2020
Analogicity in computer science is understood in two, not mutually exclusive ways: 1) with regard to the continuity feature (of data or computations), 2) with regard to the analogousness feature (i.e.
Stacewicz Paweł
doaj   +1 more source

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

open access: yesAdvanced 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   +6 more
wiley   +1 more source

Social ontologies [PDF]

open access: yesPhilosophical Transactions of the Royal Society B: Biological Sciences, 2008
There is room for considerable cooperation between archaeology and neuroscience, but in order for this to happen we need to think about the interactions among brain–body–world, in which each of these three terms acts as cause and effect, without attributing a causally determinant position to any one.
openaire   +3 more sources

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

open access: yesAdvanced 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   +5 more
wiley   +1 more source

A Prototype for Automating Ontology Learning and Ontology Evolution

open access: yes, 2013
Ontology learning supports ontology engineers in the complex task of creating an ontology. Updating ontologies at regular intervals greatly increases the need for expensive expert contribution.
Wohlgenannt, Gerhard   +2 more
core  

Watermarking for Ontologies [PDF]

open access: yes, 2011
In this paper, we study watermarking methods to prove the ownership of an ontology. Different from existing approaches, we propose to watermark not by altering existing statements, but by removing them. Thereby, our approach does not introduce false statements into the ontology. We show how ownership of ontologies can be established with provably tight
Suchanek, Fabian M.   +2 more
openaire   +1 more source

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

open access: yesAdvanced 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   +5 more
wiley   +1 more source

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