In times of the knowledge-based society, the immaterial resource knowledge becomes the most valuable commodity of businesses and its utilization is the deciding factor on the market. Knowledge is digitalized and transferred into electronic formats. Over the course, a flood of data emerges, which should be stored platform-independent and future-proof. On the other hand, access to the stored knowledge should be fast and intuitive.

Hence it is an advantage, if according applications partially relieve the user of work with the stored information and can submit recommendations. To enable such an ability to think, knowledge is not stored in isolated data collections but is disassembled into single elements, which are linked with attributes and are subsequently connected by relations, the so called triples.

Suddenly hierarchies and heredity can be projected from the stored knowledge. Applied logic allows for the exclusion of non-relevant data during a search with multiple filters and information fragments are automatically connected. The semantic web starts to think for itself.

While relations between the information fragments can be visualized and enable new forms of navigation like the webmotive Relation Explorer, agent applications utilize the logic behind the connections and present the user with numerous helpful tools.

Prime examples for relations are synonyms, which provide searchers within the semantic web with synonymous results. Agents from Google ask “Did u mean?” or submit recommendations while typing search words.

The filters of shopping agents narrow the selections in price comparison sites with classes and attributes. Searching for real estate delivers results in close proximity as soon as the zip code is entered.