Estimating the semantic similarity between text data is one of the challenging and open
research problems in the field of Natural Language Processing (NLP). The versatility of …

Short text similarity measurement methods play an important role in many applications
within natural language processing. This paper reviews the research literature on short text …

Advances in Artificial Intelligence (AI) have influenced almost every field including computer
science, robotics, social engineering, psychology, criminology and so on. Although AI has …

Rapid technological developments in the last decade have contributed to using machine
learning (ML) in various economic sectors. Financial institutions have embraced technology …

With the deterioration of natural resources and the aggravation of environmental pollution,
there is a growing imperative to implement industrial green reform through green technology …

As Web 2.0 is transforming into a more systematized Semantic Web, there is an urgent need
for semantic compliant techniques for web search. In this paper, the OntoBestFit has been …

Entity Resolution (ER) is the task of finding entity profiles that correspond to the same real-
world entity. Progressive ER aims to efficiently resolve large datasets when limited time …

Purpose The purpose of this paper is to review the current status of research on Wikidata
and, in particular, of articles that either describe applications of Wikidata or provide empirical …

Abstract Knowledge Graph (KG) is an essential research field in graph theory, but its
inherent incompleteness and sparsity influence its performance in several fields. Knowledge …

In big data sources, real-world entities are typically represented with a variety of schemata
and formats (eg, relational records, JSON objects, etc.). Different profiles (ie …