Network alignment, the problem of identifying similar nodes across networks, is an emerging
research topic due to its ubiquitous applications in many data domains such as social …

Huge advances in peer-to-peer systems and attempts to develop the semantic web have
revealed a critical issue in information systems across multiple domains: the absence of …

Ontology alignment has become an important process for identifying similarities and
differences between ontologies, to facilitate their integration and reuse. To this end, fuzzy …

Online reviews often contain detailed sentiment towards different aspects of products and
these opinions help consumers to be familiar with products. The introduction of domain …

Recently, researchers are focusing more attention on cross-domain customer review based
ontology construction. It seems very little efforts have been taken to construct cross-domain …

Purpose This paper aims to delve into the complexities of terminology mapping and
annotation, particularly within the context of the COVID-19 pandemic. It underscores the …

In this paper, we present a knowledge-aware recommendation model based on neuro-
symbolic graph embeddings that encode first-order logic rules. Our approach is based on …

Ontologies are used to model knowledge in several domains of interest, such as the
biomedical domain. Conceptualization is the basic task for ontology building. Concepts are …

Natural language processing (NLP) is the a types of artificial intelligence approach used to
maintain the decision making and data interaction process with high accuracy and reliability …

Graph theory has been a useful tool for logic programming in many aspects. In this paper,
we propose an equivalent representation of multi-adjoint logic programs using hypergraphs …