Results 51 to 60 of about 2,176,830 (308)

Extracting Academic Subjects Semantic Relations Using Collocations

open access: yesEAI Endorsed Transactions on Energy Web, 2017
The paper presents approach to analyze semantic content of academic subjects and its internal relations using statistically-based techniques for collocation extraction from large electronic educational text corpus.
Velislava Stoykova
doaj   +1 more source

Alcuni casi di enantiosemia nell’italiano medico in quanto difficoltà nella didattica

open access: yesStudia Romanica Posnaniensia, 2020
This study examines some formulations which raise doubts as they allow themselves to be interpreted in an equivocal mode in the course of learning and teaching of specialist Italian.
Beata Katarzyna Szpingier
doaj   +1 more source

Composite Semantic Relation Classification [PDF]

open access: yes, 2017
Different semantic interpretation tasks such as text entailment and question answering require the classification of semantic relations between terms or entities within text. However, in most cases it is not possible to assign a direct semantic relation between entities/terms.
Siamak Barzegar   +3 more
openaire   +4 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

Towards a Conceptual Description of Verbs

open access: yesCybernetics and Information Technologies, 2020
Our work is focused on the conceptual description of verbs by employing two main resources – the lexical semantic network WordNet and the conceptual frames from FrameNet.
Leseva Svetlozara, Stoyanova Ivelina
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

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

open access: yesAdvanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier   +17 more
wiley   +1 more source

Towards Recognition of Spatial Relations between Entities for Polish

open access: yesCognitive Studies | Études cognitives, 2016
Towards Recognition of Spatial Relations between Entities for Polish In this paper, the problem of spatial relation recognition in Polish is examined. We present the different ways of distributing spatial information throughout a sentence by reviewing ...
Michał Mirosław Marcińczuk   +2 more
doaj   +1 more source

OntoTag’s Linguistic Ontologies: Improving Semantic Web Annotations for a Better Language Understanding in Machines [PDF]

open access: yes, 2004
Following the road in-between purely linguistic annotation and solely ontology-based annotations for the Semantic Web, a hybrid (ontological and linguistic) model and platform, called OntoTag, has been created, aiming at better machine communication ...
I.A. de Mon   +7 more
core   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch   +3 more
wiley   +1 more source

Home - About - Disclaimer - Privacy