Artificial Intelligence?
Some parts of the Semantic Web technologies are based on results of Artificial Intelligence research, like knowledge representation (e.g., for ontologies), model theory (e.g., for the precise semantics of RDF and RDF Schemas), or various types of logic (e.g., for rules). However, it must be noted that Artificial Intelligence has a number of research areas (e.g., image recognition) that are completely orthogonal to the Semantic Web. It is also true that the development of the Semantic Web brought some new perspectives to the Artificial Intelligence community: the “Web effect”, i.e., the merge of knowledge coming from different sources, usage of URIs, the necessity to reason with incomplete data; etc.
Some parts of the Semantic Web technologies are based on results of Artificial Intelligence research, like knowledge representation (e.g., for ontologies or rules), model theory (e.g., for the precise semantics of RDF and RDF Schemas), or various types of logics (e.g., for rules). However, it must be noted that Artificial Intelligence has a number of research areas (e.g., image recognition) that are completely orthogonal to the Semantic Web. It is also true that the development of the Semantic Web brought some new perspectives to the Artificial Intelligence community: the “Web effect”, i.e., the merge of knowledge coming from different sources, usage of URIs, the necessity to reason with incomplete data; etc.
