Towards a Context-Aware Vertical Social Software Ecosystem

Adrian Hernandez-Mendez, Daniel Braun, Florian Matthes, Manfred Langen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Advances in software and hardware technology open up new potential for context-aware vertical social software. Companies are facing the challenge to incorporate these ideas into their existing software solutions. In this paper, we propose a reference architecture for Context-Aware Vertical Social Software platforms to facilitate reuse and enable synergies across different existing and new social software applications and workflows. This architecture enables external software developers to meet the needs of improving existing products and services of companies. Moreover, we present the lessons we learned from the implementation of such a platform and two case studies in collaboration with a large industry partner.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE 19th Conference on Business Informatics, CBI 2017
EditorsYannis Manolopoulos, Mohamed Zaki, David Diaz, Babis Theodoulidis
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages76-82
Number of pages7
ISBN (Electronic)9781538630341
DOIs
StatePublished - 17 Aug 2017
Event19th IEEE Conference on Business Informatics, CBI 2017 - Thessaloniki, Greece
Duration: 24 Jul 201727 Jul 2017

Publication series

NameProceedings - 2017 IEEE 19th Conference on Business Informatics, CBI 2017
Volume2

Conference

Conference19th IEEE Conference on Business Informatics, CBI 2017
Country/TerritoryGreece
CityThessaloniki
Period24/07/1727/07/17

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