Ontologies have gained a lot of popularity and recognition in the semantic web because of
their extensive use in Internet-based applications. Ontologies are often considered a fine …

Knowledge representation and reasoning is a field of 'Artificial Intelligence'that encodes
knowledge, beliefs, actions, feelings, goals, desires, preferences, and all other mental states …

This title was first published in 2000: For its third edition, this text on knowledge organization
and retrieval has been revised and restructured to accommodate the increased significance …

Even though the semantic Web is a relatively new and dynamic area of research, a whole
suite of components, standards, and tools have already been developed around it. Using a …

Rework remains an ever-present reality in construction projects. How rework data is defined,
its format, location, and quantification contribute to the difficulty in managing its risks. This …

Ontology plays an important role in semantic web, information extraction, artificial
intelligence, natural language processing, knowledge management etc. Ontology building is …

Database design is difficult because it involves a database designer understanding an
application and translating the design requirements into a conceptual model. However, the …

In this paper a genetic algorithm-based optimization procedure for ontology matching
problem is presented as a feature-matching process. First, from a global view, we model the …

Ontology learning (OL) from unstructured data has evolved significantly, with recent
advancements integrating large language models (LLMs) to enhance various aspects of the …

Objective Given the strong push to empower patients and make them partners in their health
care, we evaluated the current capability of hospitals to offer health information technology …