Olga Streibel

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The realization of the Semantic Web as a linked machine readable Web of data depends on the availability of authoring tools that enable ordinary Web users (i.e. non-experts w.r.t. Web technologies) to create and publish semantic data. In this paper, we introduce the “One Click Annotator” for enriching texts with RDFa annotations and linking resources(More)
One of the critical success factors of event-driven systems is the capability of detecting complex events from simple and ordinary event notifications. Complex events which trigger or terminate actionable situations can be inferred from large event clouds or event streams based on their event instance sequence, their syntax and semantics. Using semantics of(More)
In this concept paper, we outline our working plan for the next phase of the Corporate Semantic Web project. The plan covers the period from March 2009 to March 2010. Corporate ontology engineering will improve the facilitation of agile ontology engineering to lessen the costs of ontology development and, especially, maintenance. Corporate semantic(More)
Corporate Semantic Web aims at bringing semantic technologies to enterprises for gaining, managing, and utilizing knowledge as one of the critical resources for their success in a quickly changing and highly competitive world. It provides solutions in three main application areas for semantic technologies, namely semantic engineering, semantic search, and(More)
Providing ontologies for the automatic trend detection enhance the quality of trend predictions. However, in the case of dynamic and fuzzy expert knowledge like the knowledge used in trend detection, it is difficult to formalize knowledge unambiguously and in a static way. In this paper we report on our experiences in modeling and formalizing trend ontology(More)
Mining trends by analyzing text streams could enhance the standard trend analysis based on numeric data. The use of qualitative information in the process of trend recognition, in addition to that of quantitative data, requires new analysis techniques. Since Semantic Web enables the appropriate and advantageous formalization of knowledge, we propose to(More)
In this report, we introduce our initial vision of the Corporate Semantic Web as the next step in the broad field of Semantic Web research. We identify requirements of the corporate environment and gaps between current approaches to tackle problems facing ontology engineering, semantic collaboration, and semantic search. Each of these pillars will yield(More)
Determination and early detection of emerging trends can be retrieved from numeric data as well as from texts. Using texts for trend mining brings advances for the recognition process. The systematic integration of informaion descriptions and metadata schemes enable the additional semantic analysis of the available information. In this paper, we introduce(More)