survey
This dataset is hosted on IEEE DataPort(TM), a data repository created by IEEE to facilitate research reproducibility. A Systematic Literature Review SLR is presented on information retrieval for IoT and WoT scenarios, containing the definition of the research questions and the selection strategy. We specify the inclusion and exclusion criteria in conjunction with the quality assurance criteria. The data extraction procedure is then outlined.
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We conducted a semi-structured search of DBLP and MEDLINE using grouped search terms designed for maximal retrieval of relevant studies. DBLP’s search used the terms “survey” and “questionnaire data” to identify a total of 437 records from DBLP. MEDLINE’s search used three MeSH terms (“questionnaires,” “epidemiology,” and “epidemiologic methods”) with filter conditions set to exclude articles related to clinical trials and reviews as well as articles not written in English. The results were limited to articles written in English and published between 2001 and 2016.
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This dataset contains the results of a systematic literature review of visualization in Building Information Modeling (BIM). BIM employs data-rich 3D CAD models for large-scale facility design, construction, and operation. These complex datasets contain a large amount and variety of information, ranging from design specifications to real-time sensor data. They are used by architects and engineers for various analysis and simulations throughout a facility's life cycle. Many techniques from different visualization fields could be used to analyze these data.
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This dataset contains the results of a systematic literature review of information visualization in Building Information Modeling (BIM). BIM employs 3D CAD models as a central knowledge base for large-scale facility design, construction, and operation. For many years now, the construction industry has researched how to best take advantage of this integrated environment. Its growing information complexity calls upon innovative techniques for effective visual analysis and exploration.
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