The amount of research papers published nowadays related to ontology matching is
remarkable and we believe that reflects the growing interest of the research community …

Geographic knowledge bases (GKBs) with multiple sources and forms are of obvious
heterogeneity, which hinders the integration of geographic knowledge. Entity alignment …

The job market is extremely flexible and constantly evolving. If information is represented in
a machinereadable way, it is easier to add new terms or job titles and relate that to the …

Semantic relatedness between words is a core concept in natural language processing.
While countless approaches have been proposed, measuring which one works best is still a …

Ontology matching is an integral part for establishing semantic interoperability. One of the
main challenges within the ontology matching operation is semantic heterogeneity, ie …

Ontology alignment is crucial for integrating heterogeneous data sources and forms an
important component of the semantic web. Accordingly, several ontology alignment …

Ontology matching is one of the most important work to achieve the goal of the semantic
web. To fulfill this task, element-level matching is an indispensable step to obtain the …

Geospatial semantics is a broad field that involves a variety of research areas. The term
semantics refers to the meaning of things, and is in contrast with the term syntactics …

Several challenges to the field of ontology matching have been outlined in recent research.
The selection of the appropriate similarity measures as well as the configuration tuning of …

Automated Text Summarization is a technique of summarizing any document or text
automatically. Summarized text is the concise form of the given text. In Natural language …