Basole, Rahul2020-12-242020-12-242021-01-05978-0-9981331-4-0http://hdl.handle.net/10125/70743Ecosystem intelligence is typically based on highly structured data. More recently, we have seen a growth in extracting knowledge from unstructured textual data sources. Yet, one form of unstructured data has largely been ignored in ecosystem intelligence: image-based data. With an increased use of images and graphics in corporate presentations, social media posts, and annual reports, there is a greater need and opportunity to mine this potentially trapped knowledge. We introduce and describe a human-assisted knowledge discovery approach applied to one particular type of image-based data, namely logomaps, combining image recognition, graph modeling, and visualization to provide insights into business ecosystems. We demonstrate the logomap mining method through a case study of the emerging artificial intelligence (AI) ecosystem and conclude with a discussion of implications and future work.10 pagesEnglishAttribution-NonCommercial-NoDerivatives 4.0 InternationalData, Text and Web Mining for Business Analyticsecosystem intelligencegraph modelingimage recognitionlogomapsvisualization10.24251/HICSS.2021.131