Abstract: There exist various standards for different models of data, and hence users often must handle a zoo of data models. In this keynote, we .. Read more propose to utilize the different platforms according to their advantages and benefits for data distribution, query processing and transaction handling in an overall integrated hybrid multi-model multi-platform (HM3P) database. Abstract: This talk outlines several aspects of mining latent semantics from text and graph structured data. A series of research projects that represented a text corpus as a co-occurrence graph, resulted in the mining of several semantic constructs like topical anchors, topical markers, semantic siblings, and topic expansion. Abstract: Data availability and access to various platforms, is changing the nature of Information Systems (IS) studies. Such studies often use large datasets, which may incorporate structured and unstructured data, from various platforms. This invited talk attempts to address this gap and provide insights on the methodological adaptations required in 'big data studies' to be converted into 'IS research' and contribute to theory building in information systems.
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