Matches in ScholarlyData for { ?s ?p ?o. }
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- item-5 hasContent marek-nekvasil.
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- 7 creator grazyna-paliwoda-pekosz.
- 7 creator pawel-lula.
- 7 type InProceedings.
- 7 label "An ontology-based cluster analysis framework".
- 7 sameAs 7.
- 7 abstract "The main objectives of this paper is to propose a conceptual and software environment in which different aspects of cluster analysis of ontology-based data could be studied. The ontology-based dataset has two core components: description of categories and description of objects and relationships between them. Similarity between objects is defined as an amalgamation function of taxonomic, relationship and attribute similarity. The different measures to calculate similarity can be used. Further research is needed in order to evaluate these measures. The creation of a software tool which allows for classification of ontology-based data and comprehensive analysis of results is essential for the research in the area of ontology-based data mining. Such a tool should be universal, extensible and open. The universality manifests itself in the possibility of processing any data sets described by OWL tailored to meet individual requirements. The system extensibility means that it can be enriched with new elements without the necessity of making changes in its main elements. The openness enables the communications with other data analysis systems. In the paper theoretical aspects of cluster analysis of ontology-based data sets are presented. Next, a framework of cluster analysis system is outlined. Finally, some technical details of the system implementation are discussed.".
- 7 hasAuthorList authorList.
- 7 isPartOf proceedings.
- 7 keyword "Cluster Analysis".
- 7 keyword "Data Mining".
- 7 keyword "Data Snalysis".
- 7 keyword "Ontology".
- 7 keyword "Similarity Measures".
- 7 title "An ontology-based cluster analysis framework".
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- 8 creator alex-kass.
- 8 creator amit-sheth.
- 8 creator kunal-verma.
- 8 creator peter-yeh.
- 8 creator prateek-jain.
- 8 type InProceedings.
- 8 label "Enhancing Process-Adaptation Capabilities with Web-Based Corporate Radar Technologies".
- 8 sameAs 8.
- 8 abstract "Dynamic business processes are capable of adapting themselves to internal events and lack the ability to adapt to external events. Corporate radar, mines the web for events of interest, perform reasoning, analyze them and represent the events in structured format. In this position paper we advocate and propose an integrated system to enhance the capability of process-adaptation engines, greatly increasing the scope of events they can respond to enhance the capability of process-adaptation engines, greatly increasing the scope of events they can respond to.".
- 8 hasAuthorList authorList.
- 8 isPartOf proceedings.
- 8 keyword "Corporate Radars".
- 8 keyword "Dynamic Business Process".
- 8 keyword "Dynamic Process Adaptation".
- 8 keyword "Semantic Modeling".
- 8 title "Enhancing Process-Adaptation Capabilities with Web-Based Corporate Radar Technologies".
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- item-1 hasContent prateek-jain.
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- 9 creator joachim-kleb.
- 9 creator michael-spahn.
- 9 creator stefan-scheidl.
- 9 creator stephan-grimm.
- 9 type InProceedings.
- 9 label "Supporting Business Intelligence by Providing Ontology-Based End-User Information Self-Service".
- 9 sameAs 9.
- 9 abstract "Business users need to analyse changing sets of information to effectively support their working tasks. Due to the complexity of enterprise systems and available tools, especially technically unskilled users face considerable challenges when trying to flexibly retrieve needed data in an ad-hoc manner. As a consequence, available data is limited to information artefacts like queries or reports which have been predefined for them by IT experts. To improve information self-service capabilities of business users, we present an ontology-based architecture and end-user tool, enabling easy data access and query creation for business users. Our approach is based on a semantic middleware integrating data from heterogeneous information systems and providing a comprehensible data model in the form of a business level ontology (BO). We show how our end-user tool Semantic Query Designer (SQD) enables convenient navigation and query building upon the BO, and illustrate its usage and the processing of data over all layers of our system architecture in detail, using a comprehensible use case example. As flexible query creation is a crucial precondition of leveraging the usage of enterprise data, we contribute to the enablement of business users of making better informed decisions, thus increasing effectiveness and efficiency of business processes.".
- 9 hasAuthorList authorList.
- 9 isPartOf proceedings.
- 9 keyword "Business Intelligence".
- 9 keyword "Conceptual Query Design".
- 9 keyword "End-User Development".
- 9 keyword "Information Integration".
- 9 keyword "Ontology".
- 9 title "Supporting Business Intelligence by Providing Ontology-Based End-User Information Self-Service".
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