Relation extraction is a crucial step in the constructions of knowledge graphs (KGs).
However, relation extraction is performed manually in the manufacturing field due to the …

In the contemporary global market, organizations face intense competition requiring the
deployment of information technology (IT) for effective decision-making and to maintain …

The Internet provides a platform for sharing services, and web service brokers help users to
choose the suitable service among similar services based on ranking. The quality of service …

Purpose With the introduction of graph structure learning into service classification, more
accurate graph structures can significantly improve the precision of service classification …

Schizophrenia (SZ) is a chronic mental disorder associated with functional impairment of
human brain. Early-stage SZ detection can lead to better treatment, improving the quality of …

The substantial volume of user feedback contained in application reviews significantly
contributes to the development of human-centred software requirement engineering. The …

Abstract Collaboration between heterogeneous IoT (Internet of Things) devices can enrich
the capabilities of the system. In scenarios where network infrastructure or cloud platforms …

Automatic service classification plays an important role in service discovery, selection, and
composition. Recently, machine learning has been widely used in service classification …

Learning network representations of Web services plays a critical role in the service
ecosystem and facilitates many downstream tasks, eg, service composition, service …

Abstract The World Wide Web's expansion (WWW) has made finding appropriate
information difficult, and web classification has emerged as an alternative approach to …