Get An Ontology-based Knowledge Modeling Tool For ... - Dr. Amal Zouaq

Ontologies also provide the means to represent any data formats, including unstructured, semi-structured or structured data, enabling smoother data integration, easier concept and text mining, and data-driven analytics.

Standardized upper ontologies available for use include BFO, BORO method, Dublin Core, GFO, Cyc, SUMO, UMBEL, the Unified Foundational Ontology (UFO), and DOLCE. WordNet has been considered an upper ontology by some and has been used as a linguistic tool for learning domain ontologies.

An ontology is a formal description of knowledge as a set of concepts within a domain and the relationships that hold between them. It ensures a common understanding of information and makes explicit domain assumptions thus allowing organizations to make better sense of their data.

In brief, ontology, as a branch of philosophy, is the science of what is, of the kinds and structures of objects. In simple terms, ontology seeks the classification and explanation of entities. Ontology is about the object of inquiry, what you set to examine.

The greatest example of an ontological argument is that of God. Have you ever argued with a friend or family member about the existence of God? In the 11th century, St. Anselm of Canterbury argued that God existed, because he existed in our understanding.

Data ontology is a way of linking data in various formats based on various concepts. In the early days of the internet, data were linked using HTTP protocols. Nowadays, one can add another layer, an ontology, to define a specific concept, and then automatically link data points that are pertinent to that concept.

One major advantage of using a domain ontology is its ability to define a semantic model of the data combined with the associated domain knowledge. Ontologies can also be used to define links between different types of semantic knowledge. Thus, ontologies can be used in formulating some data searching strategies.