Results 131 to 140 of about 2,927,637 (247)

How Search Engines Handle Suicide Queries. [PDF]

open access: yesJ Online Trust Saf, 2021
Borge O   +5 more
europepmc   +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

Estimating the Emotional Information in Japanese Songs Using Search Engines. [PDF]

open access: yesSensors (Basel), 2022
Akaishi J   +5 more
europepmc   +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

Comparative analysis of some search engines

open access: yesSouth African Journal of Science, 2010
We compared the information retrieval performances of some popular search engines (namely, Google, Yahoo, AlltheWeb, Gigablast, Zworks and AltaVista and Bing/MSN) in response to a list of ten queries, varying in complexity.
Joseph Edosomwan, Taiwo Edosomwan
doaj  

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

Änderungsanalyse in den Suchergebnissen einer fachspezifischen Recherche mit den Suchmaschinen Google und Scirus: Vergleich der Jahre 2004 und 2005 für eine Fragestellung aus dem Bereich der Biotechnologie / Changes in query results from selected search engines over a time span: a comparison between 2004 and 2005 for a specific search in the field of biotechnology

open access: yesGMS Medizin – Bibliothek – Information, 2005
Aim of this work was the analysis of the changes occurring in hit lists of selected search engines at two different points of time.The same search query was applied to the search engine Google and to the science search engine Scirus in August 2004 and in
Doldi, M. Luisa
doaj  

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

Improving the Reliability of Literature Reviews: Detection of Retracted Articles through Academic Search Engines. [PDF]

open access: yesEur J Investig Health Psychol Educ, 2022
Pastor-Ramón E   +4 more
europepmc   +1 more source

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