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

Abstract

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
PublisherSpringer
Publication date2018
Pages395-399
ISBN (Print)9783319742243
ISBN (Electronic)9783319742250
DOIs
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
http://www.ldic-conference.org/

Conference

ConferenceThe 6th International Conference on Dynamics in Logistics. LDIC 2018
Number6
LocationBremer Institut für Produktion und Logistik
CountryGermany
CityBremen
Period20/02/201822/02/2018
Internet address
SeriesLecture Notes in Logistics
ISSN2194-8917

Cite this

Beheshti-Kashi, S., Buch, R. B., Lachaize, M., & Kinra, A. (2018). Big Textual Data in Transportation: An Exploration of Relevant Text Sources. In M. Freitag, H. Kotzab, & J. Pannek (Eds.), Dynamics in Logistics: Proceedings of the 6th International Conference LDIC 2018, Bremen, Germany (pp. 395-399). Cham: Springer. Lecture Notes in Logistics https://doi.org/10.1007/978-3-319-74225-0_53
Beheshti-Kashi, Samaneh ; Buch, Rasmus Brødsgaard ; Lachaize, Maxime ; Kinra, Aseem. / Big Textual Data in Transportation : An Exploration of Relevant Text Sources. Dynamics in Logistics: Proceedings of the 6th International Conference LDIC 2018, Bremen, Germany. editor / Michael Freitag ; Herbert Kotzab ; Jürgen Pannek. Cham : Springer, 2018. pp. 395-399 (Lecture Notes in Logistics).
@inproceedings{aff1a9a0f31243d78ff717a82f4e02b9,
title = "Big Textual Data in Transportation: An Exploration of Relevant Text Sources",
abstract = "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.",
author = "Samaneh Beheshti-Kashi and Buch, {Rasmus Br{\o}dsgaard} and Maxime Lachaize and Aseem Kinra",
year = "2018",
doi = "10.1007/978-3-319-74225-0_53",
language = "English",
isbn = "9783319742243",
pages = "395--399",
editor = "Freitag, {Michael } and Herbert Kotzab and J{\"u}rgen Pannek",
booktitle = "Dynamics in Logistics",
publisher = "Springer",
address = "Germany",

}

Beheshti-Kashi, S, Buch, RB, Lachaize, M & Kinra, A 2018, Big Textual Data in Transportation: An Exploration of Relevant Text Sources. in M Freitag, H Kotzab & J Pannek (eds), Dynamics in Logistics: Proceedings of the 6th International Conference LDIC 2018, Bremen, Germany. Springer, Cham, Lecture Notes in Logistics, pp. 395-399, Bremen, Germany, 20/02/2018. https://doi.org/10.1007/978-3-319-74225-0_53

Big Textual Data in Transportation : An Exploration of Relevant Text Sources. / Beheshti-Kashi, Samaneh; Buch, Rasmus Brødsgaard; Lachaize, Maxime; Kinra, Aseem.

Dynamics in Logistics: Proceedings of the 6th International Conference LDIC 2018, Bremen, Germany. ed. / Michael Freitag; Herbert Kotzab; Jürgen Pannek. Cham : Springer, 2018. p. 395-399 (Lecture Notes in Logistics).

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

TY - GEN

T1 - Big Textual Data in Transportation

T2 - An Exploration of Relevant Text Sources

AU - Beheshti-Kashi, Samaneh

AU - Buch, Rasmus Brødsgaard

AU - Lachaize, Maxime

AU - Kinra, Aseem

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

U2 - 10.1007/978-3-319-74225-0_53

DO - 10.1007/978-3-319-74225-0_53

M3 - Article in proceedings

SN - 9783319742243

SP - 395

EP - 399

BT - Dynamics in Logistics

A2 - Freitag, Michael

A2 - Kotzab, Herbert

A2 - Pannek, Jürgen

PB - Springer

CY - Cham

ER -

Beheshti-Kashi S, Buch RB, Lachaize M, Kinra A. Big Textual Data in Transportation: An Exploration of Relevant Text Sources. In Freitag M, Kotzab H, Pannek J, editors, Dynamics in Logistics: Proceedings of the 6th International Conference LDIC 2018, Bremen, Germany. Cham: Springer. 2018. p. 395-399. (Lecture Notes in Logistics). https://doi.org/10.1007/978-3-319-74225-0_53