Results 61 to 70 of about 93,434 (314)

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

Maximum Entropy Reasoning via Model Counting in (Description) Logics that Count

open access: yesProceedings of the International Florida Artificial Intelligence Research Society Conference
In previous work it was shown that the logic ALCME,  which extends the description logic (DL) ALC with probabilistic conditionals, has domain-lifted inference.
Franz Baader, Anton Claußnitzer
doaj   +1 more source

How Philosophical is Informal Logic?

open access: yesInformal Logic, 2000
Consider the proposition, "Informal logic is a subdiscipline of philosophy". The best chance of showing this to be true is showing that informal logic is part of logic, which in turn is a part of philosophy.
John Woods
doaj   +1 more source

A Breakdown of System of Systems Needs Using Architecture Frameworks, Ontologies and Description Logic Reasoning

open access: yesAerospace, 2021
Aerospace systems are connected with the operational environment and other systems in general. The focus in aerospace product development is consequently shifting from a singular system perspective to a System-of-Systems (SoS) perspective.
Ludvig Knöös Franzén   +4 more
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

Quasi-classical description logic

open access: yes, 2012
In this paper, we present a paraconsistent description logic based on quasi-classical logic. Compared to the four-valued description logic, quasi-classical description logic satisfies all of the three basic inference rules (i.e., modus ponens, modus ...
ZHANG, Xiaowang, LIN, Zuoquan
core   +1 more source

MP-HTHEDL: A Massively Parallel Hypothesis Evaluation Engine in Description Logic

open access: yesIEEE Access
We present MP-HTHEDL, a massively parallel hypothesis evaluation engine for inductive learning in description logic (DL). MP-HTHEDL is an extension on our previous work HT-HEDL, which also targets improving hypothesis evaluation performance for inductive
Eyad Algahtani
doaj   +1 more source

EXTRACTION OF CONCEPT AND CONCEPT RELATION FOR ISLAMIC TERM USING SYNTACTIC PATTERN APPROACH

open access: yesAsia-Pacific Journal of Information Technology and Multimedia, 2018
Ontology Learning is a semi automation step to learn ontology from text. The identification of a term become a prerequisite for all aspects of Ontology Learning.
Saidah Saad, Ummu Kalsom Latiff
doaj   +1 more source

Automated Synthesis of Tableau Calculi [PDF]

open access: yesLogical Methods in Computer Science, 2011
This paper presents a method for synthesising sound and complete tableau calculi. Given a specification of the formal semantics of a logic, the method generates a set of tableau inference rules that can then be used to reason within the logic. The method
Renate A. Schmidt, Dmitry Tishkovsky
doaj   +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

Home - About - Disclaimer - Privacy