What is ontological engineering?
In information science, ontological engineering is a study by the methodology used to build knowledge of knowledge in a certain domain and to clarify the relationship between these concepts. Ontology has two purposes: describe the domain and provide conceptualization to reason about entities in this domain. Therefore, ontology is a formal concept, both explicit and shared. The ontology provides a structural framework for a number of information organizations that have been applied in areas such as software engineering, life sciences, biomedical computer science, artificial intelligence and information architecture. Thus, ontology engineering is often defined as a set of interconnected tasks that develop ontology for a particular domain.
Defining vocabulary is an important attribute of ontological engineering. Searching for common terms, defining the level of formality for different terms, specifications of their meaning and defining the relationship between conditions and the formal level levels are central to the process. Focus on development and improvement toThe process of the process, the ontology life cycle, the methodology and tools and languages that support this process are considered to be mutually interconnected tasks of ontological engineering. Due to the extensive use of ontologies across a wide range of domains, ontological engineering has become an important process of progressive improvement.
, also known as an ontological building, ontological engineering is therefore a decelence of knowledge engineering and is best described as a study of methods used to build ontologies. The aim of the ontological engineering is therefore an explicit knowledge of conceptualized in software applications, within enterprises and business processes across the designated domain. The solution of semantic obstacles inoperative is considered to be one of the vital directions of the field. An example is the address of obstacles presented in the name of business processes and assigning these processes to the appropriate software classes.
different advantages are offered by deploying refined ontological engineering to create precise ontologies. New ontology can be created from existing components of already established ontologies. Ontology can also share multiple resources and applications and ensure effectiveness. For example, biomedical scientific ontology can borrow from life sciences and vice versa, saving time, money and resources. The design of the knowledge databases from scratch usually has the opposite impact.
ontological engineering therefore offers the potential to transform the knowledge industry. Rather than dating databases, knowledge databases from zero when creating new knowledge -based systems can borrow specialized terminology when solving related concepts. This allows system engineers to move focus on sharing and diseminatio methodologies, while including a suitable source to create more powerful hardware for accommodation, access and processing these ontologies.