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by the network -- descriptive keywords, or tags. In this paper we present a model that enables keyword discovery methods through the interpretation of the network as a graph, solely relying on keywords that categorize or describe productive items. The model and keyword discovery methods presented in this paper avoid
Criminal Intelligence Analysis often requires a search different from the semantic and keyword based searching to reveal the associations among semantically and operationally connected objects within a crime knowledge base. In this paper we introduce associative search as a search along the networks of association
important in IoT for the Information Systems Research community as well as the first overview of the keywords that the authors use to describe their work in IoT- related context. Publications from the IoT context, including some of the topic areas in smart environment from the AIS electronic library were analyzed towards their
This work explores network analysis methods for the analysis of emergent themes as well as types of users in discussion forums. The paper provides both, a description of the analysis approach and its application as a case study. To that end, keywords are extracted from forum threads and then linked to the forum users
make tweets semi-structured inside and semantically related to each other. Since hashtags are utilized as keywords in tweets to mark messages or to form conversations, they provide an additional path to connect semantically related words. In this paper, treating tweets as semi-structured texts, we propose a novel topic
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