Open AccessOntology engineering in the era of linked data
Author(s) -
Corcho Oscar,
PovedaVillalón María,
GómezPérez Asunción
Publication year - 2015
Publication title -
bulletin of the association for information science and technology
Language(s) - English
Resource type - Journals
ISSN - 2373-9223
DOI - 10.1002/bult.2015.1720410407
Subject(s) - ontology , computer science , ontology engineering , usability , domain (mathematical analysis) , semantic web , semantics (computer science) , world wide web , linked data , upper ontology , process ontology , data science , idef5 , open biomedical ontologies , ontology based data integration , software engineering , suggested upper merged ontology , programming language , human–computer interaction , mathematical analysis , philosophy , mathematics , epistemology
EDITOR'S SUMMARY Ontology engineering encompasses the method, tools and techniques used to develop ontologies. Without requiring ontologies, linked data is driving a paradigm shift, bringing benefits and drawbacks to the publishing world. Ontologies may be heavyweight, supporting deep understanding of a domain, or lightweight, suited to simple classification of concepts and more adaptable for linked data. They also vary in domain specificity, usability and reusabilty. Hybrid vocabularies drawing elements from diverse sources often suffer from internally incompatible semantics. To serve linked data purposes, ontology engineering teams require a range of skills in philosophy, computer science, web development, librarianship and domain expertise.