A survey of semantic web standards to representing knowledge in problem solving situations

With the increase of information resources and software assets in industries, many companies seek today to improve knowledge sharing and the access to information. In fact, information retrieval has become a daily challenge for many actors of these companies where the quantity of information is huge and is from different sources. The semantic web field tries to address this problem by offering many techniques to attach semantic annotations to resources using the ontology of a given domain. This paper presents a survey of semantic web standards which aim at representing knowledge for many contexts of application. Our goal is to choose the most appropriate standard for representing knowledge in the context of problem solving.