Biomedical ontology offers a structured framework to model the biomedical knowledge in a
machine-readable format. However, the heterogeneity inherent in biomedical ontologies …

Stemming in each language has a different process and is determined according to the
structure of the language. Stemming is mostly used as a complete step in the processing of …

Schema matching is the problem of finding semantic correspondences between elements
from different schemas. This is a challenging problem since disparate elements in the …

Schema matching is a process of creating the correspondences and mappings from the
various schemas, which is a critical phase of migrating and integrating heterogeneous …

Deep Learning is the newest and the current trend of the machine learning field that paid a
lot of the researchers' attention in the recent few years. As a proven powerful machine …

Schema matching is the process of determining the similarities among multiple schemas of
databases or websites structure. Several matching approaches have been depicted in the …

Nowadays, people can get information easily including about fiqh and hadith as a source of
Islamic law. The problem is, there are so many articles about jurisprudence whose …

Big data presents a novel opportunity for data-driven decision-making, and modern
organizations acknowledge its potential. Being able to use these data collaboratively …

Interval data, a specific type of symbolic data, are increasingly widespread across various
fields, particularly in the domain of data mining. Evaluating the dissimilarity or similarity …

Schema matching is a crucial issue in applications that involve multiple databases from
heterogeneous sources. Schema matching evolves from a manual process to a …