Comparative study of Architecture for Twitter Analysis and a proposal for an improved approach

Molnár, Bálint; Vincellér, Zoltán

doi:10.1109/coginfocom.2013.6719225

Cited by 3 publications

(3 citation statements)

References 14 publications

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“…Rossi and Hirama (2015), on the other hand, claim that it is within information architecture that data is reviewed to have meaning, value and usefulness. Despite this confusion, Molnár and Vincellér (2013) state that both information and data architectures are fundamental to any business, and represent the structure of the information that is required and used by an organisation. Such a lack of clear distinction wholly contributes to the confusion which both business people and IS/IT personnel encounter in the course of their duties, as well as career development.…”

Section: Understanding the Confusionmentioning

confidence: 99%

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The architectures of data and information: Their confounded confusion

Iyamu¹

2019

SA Journal of Information Management

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Background: Even though it is well documented in the academic domain, including various English dictionaries, that data and information are not the same thing, with the latter being a refinement of the former, many people within organisations and academic environments continue to loosely and interchangeably use these terms. This is a challenge that extends to the enterprise architecture discipline, which has an impact on how the domains of data and information architectures are defined, developed and implemented in many organisations. Objectives:The challenge leads to misunderstanding of both technical and business requirements, as well as confusion about the differentiation between data and information architectures. This challenge affects the accomplishment of either data or information in an organisation. This is caused by the fact that data is referred to as information, meaning it has been refined, which is incorrect, and therefore affects requirements. Additionally, this challenge influences the organisational structure and the development of employees' career. Thus, the objective of this study was to examine the implication of practice in the loose and interchangeable use of the terms, 'data' and 'information', within an organisation.Method: Based on this objective, the interpretivist stance was employed in the study. Qualitative data was gathered and the hermeneutics approach was employed in the analysis.Results: From the analysis, a solution is proposed to halt further misconstruction of the architectures, and avoid the confusing challenges it has for organisations. Conclusion:The study reveals what we need to know about the confounded confusion between data and information architectures. The differentiation between the two concepts can be of importance to professionals in the field of information systems and technologies as well as academics.

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Section: Understanding the Confusionmentioning

confidence: 99%

“…In fact, both information architecture and data architecture involve providing structure for the information that is used within an organisation (Molnár & Vincellér 2013).…”

Section: Confusionmentioning

confidence: 99%

The architectures of data and information: Their confounded confusion

Iyamu¹

2019

SA Journal of Information Management

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“…In a previous paper [3] we described an effective system plan that can be used for storing and collecting the social networks. We summarized the requirements of the system in it.…”

Section: Related Workmentioning

confidence: 99%

Virtual observatory for twitter messages

Gombos

Vincellér

Kiss

2015

Proceedings of the 9th International Conference on Applied Informatics, Volume 1

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A new research direction has emerged as the investigation of On-line Social Networks. Twitter is one of the most well-known social networks. Analysis of the Twitter is easier than other social networks because it provides the opportunity for collecting and downloading of a certain percentage of the messages without any restrictions. There are several researches on topics as detecting news and events, human behaviors, analyzing and mining of opinions. The on-line messages are available only through a continuous stream. To store the messages from the stream effectively and efficiently is a serious challenge against software system design and architecture. Every day about 10 GBs data are generated by this way and storing of this volume of data is not an easy task. In this paper we present a technique and architecture for collecting and storing the messages of the Twitter, and we present a prototype where data can be accessed for further analysis. Our system makes use specific techniques and methods of Oracle environment. Our software architecture approach is in contrast to previous solutions in which the systems use MSSQL or MySQL DBMS. We demonstrate that indexing and Job scheduler of the Oracle provide advantages to retrieve and handle large amounts of data.

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