Abstract
With the increasing availability of online news data through social media, there has been a growing focus on its potential as a source of business insights. However, interest in these insights has shifted towards more application-oriented analysis methods tailored to specific business purposes, leading to the emergence of semantically rich business trajectories. This article provides a definition of business trajectories and presents a method for constructing them using online news data. It also explores how trajectories can be enriched with semantic information to enable desired business interpretations and insights. Finally, the article discusses the potential of semantic business trajectories for environmental analysts in carrying out studies for various purposes.
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The authors thank the French government for the plan France Relance funding.
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Arslan, M., Cruz, C. (2023). Semantic Business Trajectories Modeling and Analysis. In: Abelló, A., et al. New Trends in Database and Information Systems. ADBIS 2023. Communications in Computer and Information Science, vol 1850. Springer, Cham. https://doi.org/10.1007/978-3-031-42941-5_33
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DOI: https://doi.org/10.1007/978-3-031-42941-5_33
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