Big Textual Data in Transportation: An Exploration of Relevant Text Sources

Samaneh Beheshti-Kashi, Rasmus Brødsgaard Buch, Maxime Lachaize, Aseem Kinra

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


With the emergence of Big Data and growth in Big Data techniques, a huge number of textual information is now utilizable, which may be applied by different stakeholders. Formerly unexplored textual data from internal information assets of organisations, as well as textual data from social media applications have been converting to utilizable and meaningful insights. However, prior to this, the availability of textual sources relevant for logistics and transportation has to be examined. Accordingly, the identification of potential textual sources and their evaluation in terms of extraction barriers in the Danish context has been focussed in this paper.
Original languageEnglish
Title of host publicationDynamics in Logistics : Proceedings of the 6th International Conference LDIC 2018, Bremen, Germany
EditorsMichael Freitag, Herbert Kotzab, Jürgen Pannek
Number of pages5
Place of PublicationCham
Publication date2018
ISBN (Print)9783319742243
ISBN (Electronic)9783319742250
Publication statusPublished - 2018
EventThe 6th International Conference on Dynamics in Logistics. LDIC 2018 - Bremer Institut für Produktion und Logistik, Bremen, Germany
Duration: 20 Feb 201822 Feb 2018
Conference number: 6


ConferenceThe 6th International Conference on Dynamics in Logistics. LDIC 2018
LocationBremer Institut für Produktion und Logistik
Internet address
SeriesLecture Notes in Logistics

Cite this