Monika Starzecka

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Various attempts have been undertaken to further automate the BPM lifecycle. One of the recent initiatives in this area is the Semantic Business Process Management approach as pursued within the SUPER project. It aims at bridging the gap between business and IT worlds by increasing the degree of automation within the BPM lifecycle using Semantic Web and(More)
Enterprises today face an increasing need to easily access and process knowledge they produce as well as automate their business processes. This need may be fulfilled by taking advantage of the Semantic Web and Semantic Web services technologies and implementing the concept of Semantic Business Process Management. In order to fulfil this vision, an(More)
In this paper we address the problem of introducing semantics into Deep Web. Our main contribution is an annotation-based model for semantic, unified access to heterogeneous Deep Web sources. We discuss the problem of source navigation and semantics modeling, introduce personalized views on the ontology and demonstrate their use for navigation and(More)
Scenario-based analysis describes customer needs and focuses on different aspects of information systems. A scenario typically has several metrics which compute specific information about transaction data, organizational structures and configuration settings. The selection and configuration of metrics is not a trivial task and normally cannot be reused over(More)
Current business process modelling tools support neither restricting names nor using ontologies to describe process artefacts. This lack results in creating non-consistent process models which are difficult to understand, compare, evaluate and re-use, etc. Within this article we argue that the Business Functions Ontology (BFO) developed within the SUPER(More)
Web mining is a one class of data mining. Web Mining is a variation of data mining that distills untapped source of abundantly available free textual information. The need and importance of web mining is growing along with the massive volumes of data generated in web day-to-day life. Web data Clustering is the organization of a collection of web documents(More)
Web mining is a one class of data mining. Web Mining is a variation of data mining that distills untapped source of abundantly available free textual information. The need and importance of web mining is growing along with the massive volumes of data generated in web day-to-day life. Web data Clustering is the organization of a collection of web documents(More)
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