The ongoing goal of this workshop is to explore how to improve the interoperability of Conceptual Structures (CS) tools amongst each other and with other established knowledge representation and reasoning technologies.
The International Conferences on Conceptual Structures (ICCS) have been held annually in Europe, Australia, and North America since 1993. Their focus is on the formal analysis and representation of conceptual knowledge with applications to artificial intelligence, computational linguistics, and related areas of computer science.
The ICCS conferences evolved from a series of seven annual workshops on conceptual graphs, starting with an informal gathering hosted by John Sowa in 1986. For the seventh CG workshop in 1992, the informal workshop notes were upgraded to reviewed and edited proceedings published in the Springer-Verlag series of Lecture notes in Artificial Intelligence.
In 2014 the ICCS conference will be held in Iasi, Romania at the Al. I. Cuza University, the oldest higher education institution in Romania. The university was founded one year after the establishment of the Romanian state in 1860. Iasi has a long tradition in higher education and has traditionally been one of the leading centres of Romanian social, cultural, academic and artistic life.
Here, we present OntoSem resources that are used for deep meaning analysis of Web pages. These resources include concepts (language independent) and lexicons (in English) that are utilized by the hakia's OntoSem parser (called hOntoParser). The illustrati
25 years after its original publication, this book has never been more relevant, powerful, or fresh. Integrating insights from the worlds of psychology, engineering, management, art, and philosophy, Adams identifies key blocks...
R. Studer, V. Benjamins, and D. Fensel. Data & Knowledge Engineering, 25 (1-2):
161--197(March 1998)Definition Ontology (page 25): An ontology is a formal, explicit specification of a shared conceptualisation. A ‘conceptualisation’ refers to an abstract model of some phenomenon in the world by having identified the relevant concepts of that phenomenon. ‘Explicit’ means that the type of concepts used, and the constraints on their use are explicitly defined. For example, in medical domains, the concepts are diseases and symptoms, the relations between them are causal and a constraint is that a disease cannot cause itself. ‘Formal’ refers to the fact that the ontology should be machine readable, which excludes natural language. ‘Shared’ reflects the notion that an ontology captures consensual knowledge, that is, it is not private to some individual, but accepted by a group..