| URI | https://w3id.org/amv |
| Namespace | https://w3id.org/amv# |
| Description | Metadata vocabularies are used in various domains of study. It provides an in-depth description of the resources. In this work, we develop Algorithm Metadata Vocabulary (AMV), a vocabulary for capturing and storing the metadata about the algorithms (a procedure or a set of rules that is followed step-by-step to solve a problem, especially by a computer). The snag faced by the researchers in the current time is the failure of getting relevant results when searching for algorithms in any search engine. AMV is represented as a semantic model and produced OWL file, which can be directly used by anyone interested to create and publish algorithm metadata as a knowledge graph, or to provide metadata service through SPARQL endpoint. To design the vocabulary, we propose a well-defined methodology, which considers real issues faced by the algorithm users and the practitioners. The evaluation shows a promising result. @en |
| Language |
English
en
|
| Creator |
Biswanath Dutta
https://orcid.org/0000-0003-3059-8202
Jyotima Patel
https://www.linkedin.com/in/jyotima-patel-61220411b
|
| Publisher |
Indian Statistical Institute Bangalore Centre
https://www.isibang.ac.in/
|
| Comment | (2023-07-05) María Poveda-Villalón: Added to LOV |
![]() |
SHACL Output
Preview with scroll
![]() |
Percentage of passed tests
Percentage of passed tests (out of total) per dimension
![]() |
Example tests generated. You can edit them before execution.
No file selected.
| Test | Result | Problem |
|---|