Systematic review of big data analytics in governance

Bhardwaj, Ashu; Singh, Williamjeet

doi:10.1109/iss1.2017.8389462

Cited by 2 publications

(1 citation statement)

References 26 publications

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“…I.e. Correlation and regression analysis; and data classification, clustering, prediction, and diagnosis (Zhao-Hong et al 2018, 205) 49 See the surveys on data-intensive applications (Chen and Zhang 2014), big data life-cycles and management (Khan et al 2014) big data management (Siddiqa et al 2016), big data analytics in governance (Bhardwaj and Singh 2017), on data processing methods (Zhao-Hong et al 2018).…”

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Legal Linked Data Ecosystems and the Rule of Law

Poblet

Casanovas

Rodrı́guez-Doncel

2019

SpringerBriefs in Law

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This chapter introduces the notions of metarule of law and socio-legal ecosystems to both foster and regulate linked democracy. It explores the way of stimulating innovative regulations and building a regulatory quadrant for the rule of law. The chapter summarises briefly (i) the notions of responsive, better and smart regulation; (ii) requirements for legal interchange languages (legal interoperability); (iii) and cognitive ecology approaches. It shows how the protections of the substantive rule of law can be embedded into the semantic languages of the web of data and reflects on the conditions that make possible their enactment and implementation as a socio-legal ecosystem. The chapter suggests in the end a reusable multi-levelled meta-model and four notions of legal validity: positive, composite, formal, and ecological. Keywords Web of data Á Socio-legal ecosystem Á Rule of law Á Metarule of law Á Semantic languages Á Governance Á Linked democracy Á Semantic web regulatory models Á Regulatory quadrant Á Legal validity 5.1 Introduction: The Rule of Law in a New Brave World We will expand in this chapter some ways of implementing linked democracy on legal and political bases. Linked democracy is not only a theoretical approach incorporating open linked data to theories of democracy. It consists of practices and the real behaviour of people exercising their political rights on everyday bases. Thus, it also possesses a personal and cultural dimension that should be valued and protected. Law is an obvious element. Behaviour on the web should be 'fair' and 'legal'. What does it mean? Different states have different jurisdictions, and despite the international trends of the global market, law has been, and still is, dependent on national states. How could we incorporate regulatory forms of empowering people on the web? How could algorithmic governance, data analytics, and semantics be used to foster the principles of linked democracy that we have just presented at the end of Chap. 4?

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confidence: 99%

Legal Linked Data Ecosystems and the Rule of Law

Poblet

Casanovas

Rodrı́guez-Doncel

2019

SpringerBriefs in Law

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Review of Machine Learning Techniques for Voluminous Information Management

Pandian¹

2019

JSCP

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The recent technological growth at a rapid pace has paved way for the big data that denotes to the exponential growth of the information’s. The big data analytics are the trending concepts that have emerged as the promising technology that offers more enhanced perceptions from the huge set of the data that have been produced from the diverse areas. The review in the paper proceeds with the methods of the big-data-analytics and the machine-learning in handling, the huge set of data flow. The overview of the utilization of the machine-learning algorithms in the analytics of high voluminous data would provide with the deeper and the richer analysis of the huge set of information gathered to extract the valuable and turn it into actionable information’s. The paper is to review the part of machine-learning algorithms in the analytics of high voluminous data

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Systematic review of big data analytics in governance

Cited by 2 publications

References 26 publications

Legal Linked Data Ecosystems and the Rule of Law

Legal Linked Data Ecosystems and the Rule of Law

Review of Machine Learning Techniques for Voluminous Information Management

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