Abstract
We consider the use of ontological knowledge from user profile (domain of interests, current tasks, experience and competences etc.) for semantic retrieval. Domain ontologies, Wiki resources and task thesauri used in general technological chain of user-oriented semantic retrieval can be generated independently by different applications and are integrated with the help of the Semantic Web standards. Open information environment is considered as an external data base with great volumes of heterogeneous and semi-structured information that can be transformed into ontologies. Semantic Wiki resources provide generation of ontology for selected set of Wiki pages that formalizes their knowledge structure and explicitly represents its main features. Semantic similarity evaluations and knowledge about typical information objects of resources are used for selection of Wiki pages pertinent to user task. Such Wiki-ontology elements as classes, property values of class instances and relations between them are used as parameters for the quantitative assessment of semantic similarity. Task thesaurus that represents current task is generated on base of domain ontology and task description. The semantic retrieval system based on ontological representation of user needs is described. The set of domain concepts that are semantically similar to currents Wiki page can be used as a base for task thesaurus.
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This work has been supported by the Institute of Software Systems of National Academy of Sciences of Ukraine.
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Rogushina, J. (2020). User Profile Ontological Modelling by Wiki-Based Semantic Similarity. In: Golenkov, V., Krasnoproshin, V., Golovko, V., Azarov, E. (eds) Open Semantic Technologies for Intelligent System. OSTIS 2020. Communications in Computer and Information Science, vol 1282. Springer, Cham. https://doi.org/10.1007/978-3-030-60447-9_12
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