Retrieving Information from Social Media using Ontology

Tengku Adil Tengku Izhar, Mohd Shamsul Mohd Shoid, Abdul Ismail Mohd Jawi and Trieu Minh Nhut Le

International Journal of Academic Research in Business and Social Sciences, 2016, vol. 6, issue 9, 1–18

Abstract: People have access to more data in single day than most people that have access to data in the previous decade. This data is created in many forms and it highlights the development of Big Data. Big Data in organizations have transformed the way organizations across industries implement new approach to handle huge amount of data. Organizations rely to this data to achieve specific business priorities. The challenge is how to retrieve this data to be considered relevant for the specific organization activities because determining relevant data is a key to deliver information from massive amounts of data. The aim of this paper is to integrate organizational data and social data using an ontology to retrieve relevant information for efficient decision-making. We investigate how external data such as social media can support internal data such as organizational data in relation to the organizational goals. The results from the case study demonstrate how we incorporate social data and organizational data. This paper demonstrates that ontology provide a platform to integrate social data and organizational data.

Keywords: Big data; ontology; organizational data; social media; twitter (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:hur:ijarbs:v:6:y:2016:i:9:p:1-18

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