Construction of Personalized Information Services for Researchers

摘要: As the amount of information available on Internet is growing very rapidly (including Linked Data, in particular Open Data), creation customized tools for knowledge management becoming increasingly important. The paper proposes an approach to construction personalized services that can be needs different users. based two models: model user’s and environment (types data sources). An implementation considered example system which intended concrete category users: researchers area Semantic Web. Three basic types queries have been identified: news, general analytical. Designing service from standpoint main stages lifecycle: its execution. Two ontologies are used initial query constructing: ontology research activity domain ontology. Query execution algorithms include obtaining sources (HTML, HTML+RDFa, RSS, SPARQL endpoints) processing depending features query. In addition design pattern effective building module proposed. conclusion future directions prototype improvement discussed.