Knowledge Engineering (KE) refers to all technical, scientific and social aspects involved in building, maintaining and using knowledge-based systems. KE is a multidisciplinary field, bringing in concepts and methods from several computer science domains such as artificial intelligence, databases, expert systems, decision support systems, information systems and software engineering. KE is also related to logic (both in mathematics and philosophy domains) and to the cognitive and social sciences and socio-cognitive engineering.

Ontology Development (OD) aims at building reusable semantic structures that can be informal vocabularies, catalogs, glossaries as well as more complex finite formal structures specifying types of entities and types of relationships relevant within a certain domain. Ontologies have been gaining interest and acceptance in computational audiences. For example, formal ontologies are increasingly used as one of the main sources of software development and methodologies for this end can be adapted to include ontology development. A wide range of applications is emerging, including library science, ontology-enhanced search, e-commerce, business process management and enterprise engineering, among others.

KEOD aims at becoming a major meeting point for researchers and practitioners interested in the study and development of methodologies and technologies for Knowledge Engineering and Ontology Development.

Proceedings will be submitted for evaluation for indexing by: SCOPUS, Google Scholar, DBLP, Engineering Village, Web of Science