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OntoLoger, similarly to its general version of the Library Agent (Stojanovic, 2003), is a query system based on usage analysis in the ontology-based information portals. Its query mechanism is based on usagedata in form of an ontology, so-called semantic log file. The structure of the ontology reflects the users’ needs. By using this, OntoLoger supports the user in fine-tuning of the user’s initial query. Moreover, during the refinement process, the system also uses this log ontology for ranking query results and refinements according to the user’s needs.

4 the SemantIclIfe dIgItal memory frameWork “SemanticlIfe” In the physical world, entities are usually interconnected, either by physical or by semantic means; in the latter case, the semantic meaning is added by human interaction (in an abstract sense) with the physical world. Life items in the system proposed can be understood as information entities (in some cases they are representations of such physical entities) stored according to ontologies in a semantic database, which are connected to other information entities according to their semantic meaning.

A great deal of effort has already been made, and work is still going on to represent semantics explicitly on the Web. This is required to give computer systems the capability to enhance preprocessing of huge amounts of data for the user. It becomes more important as the “awareness radius” of the contemporary knowledge worker and consumer is continuously increasing. These results from the observation; those users do not limit their information search to specific data repositories, like searching for an address or an event in a calendar.

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