Naslov
Trends in Web APIs Classification, Selection, and Composition

Autori
Andročec, Darko

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
2021 International Conference on Electrical, Computer and Energy Technologies (ICECET) / Altinok, Riza - Cape Town : Institute of Electrical and Electronics Engineers (IEEE), 2021, 1-5

ISBN
978-1-6654-4231-2

Skup
International Conference on Electrical, Computer and Energy Technologies (ICECET)

Mjesto i datum
Cape Town, Južnoafrička Republika, 09.12.2021. - 10.12.2021

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
web service ; web API ; service selection ; service composition ; IoT service ; machine learning service ; deep learning service

Sažetak
The number of web services and web APIs is still growing. Due to that, the manual selection and possible manual composition of the services is difficult, which is why the research of automatic classification, selection and composition of the services is still actual. This paper reviews recent research on this topic, with the goal of defining the main topics and directions of future research. From the set of 80 read recent conference and journal articles, 30 most relevant papers were singled out. A review of the literature shows that the greatest potential lies in the topic of new services and web APIs (for example, Internet of Things services, machine and deep learning services and APIs) and approaches to classify, select and compose these types of services. The mentioned services have many specific features, and there are still no things, machine or deep learning as a services specific approaches in the existing literature.

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti

POVEZANOST RADA