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Kateryna Falkovych

Researcher at Centrum Wiskunde & Informatica

Publications -  7
Citations -  166

Kateryna Falkovych is an academic researcher from Centrum Wiskunde & Informatica. The author has contributed to research in topics: Semantic Web Stack & Context (language use). The author has an hindex of 5, co-authored 7 publications receiving 165 citations.

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UML for the Semantic Web: Transformation-Based Approaches.

TL;DR: It is argued that UML could be a key technology for overcoming the ontology development bottleneck thanks to its wide acceptance and sophisticated tool support and transformational approaches are a promising way of establishing a connection between UML and web-based ontology languages.
Journal ArticleDOI

Context aware guidance for multimedia authoring: harmonizing domain and discourse knowledge

TL;DR: This paper extends the existing authoring support by integrating processes of topic identification, content collection and discourse structure building in a single environment and combines this process context awareness with explicit domain and discourse knowledge to steer system suggestions.

Context aware guidance for multimedia authoring: harmonizing domain and discourse knowledge

TL;DR: In this paper, an approach to assist authors during the authoring of multimedia presentations is presented, which integrates processes of topic identification, content collection and discourse structure building in a single environment.

Semantic-based support for the semi-automatic construction of multimedia presentations

TL;DR: The design of an experimental framework for semi-automatic authoring, SampLe, is introduced that exploits large mediaaware semantic spaces through semantic-sensitive authoring methods to support users mainly during the early stages of presentation design.

Creating a Semantic-based Discourse Model for Hypermedia Presentations: (Un)discovered Problems

TL;DR: This work addresses the problem of building a flexible discourse model that enables creation of relatively complex discourse structures by using a semantic framework and semantic descriptions of media items by coming up with a set of requirements for a common discourse model.