Content Regulation in Cyberspace

Physiological-Biochemical Peculiarities of Ammonia Content Regulation in Carp

Hydrobiological Journal ◽

10.1615/hydrobj.v46.i1.50 ◽

2010 ◽

Vol 46 (1) ◽

pp. 56-63

Author(s):

V. D. Romanenko ◽

A. S. Potrokhov ◽

O. G. Zin'kovskiy

Keyword(s):

Ammonia Content ◽

Content Regulation

Federal Jurisdiction Over Internet and Broadband: A Commentary on Technology and Content Regulation

SSRN Electronic Journal ◽

10.2139/ssrn.2241621 ◽

2013 ◽

Author(s):

Michael H. Botein

Keyword(s):

Federal Jurisdiction ◽

Content Regulation

Content regulation and the Internet

Internet Co-Regulation ◽

10.1017/cbo9780511763410.006 ◽

2011 ◽

pp. 130-163

Author(s):

Christopher T. Marsden

Keyword(s):

The Internet ◽

Content Regulation

Parental Control Perfection? The Impact of the DVR and VOD Boom on the Debate over TV Content Regulation

SSRN Electronic Journal ◽

10.2139/ssrn.1029764 ◽

2007 ◽

Cited By ~ 1

Author(s):

Adam D. Thierer

Keyword(s):

Parental Control ◽

The Impact ◽

Content Regulation

Censorship – Broadcast and online content regulation

The Law of Electronic Commerce ◽

10.1017/cbo9780511818400.018 ◽

2012 ◽

pp. 313-329

Author(s):

Alan Davidson

Keyword(s):

Online Content ◽

Content Regulation

What is so bad about Internet content regulation?

Computer Ethics ◽

10.4324/9781315259697-14 ◽

2017 ◽

pp. 95-101 ◽

Cited By ~ 1

Author(s):

John Weckert

Keyword(s):

Content Regulation

Censorship and Content Regulation of the Internet

Encyclopedia of Library and Information Science, Fourth Edition ◽

10.1081/e-elis4-120044407 ◽

2017 ◽

pp. 779-787

Keyword(s):

The Internet ◽

Content Regulation

Conceptual Model for Specialized Learning Systems within Organizations

International Journal of Systems and Service-Oriented Engineering ◽

10.4018/ijssoe.2014100102 ◽

2014 ◽

Vol 4 (4) ◽

pp. 19-34

Author(s):

Isabel Mendes ◽

Henrique Santos ◽

Celina Pinto Leão

Keyword(s):

Conceptual Model ◽

Learning Systems ◽

Semantic Technologies ◽

Specialized Knowledge ◽

Know How ◽

Digital Era ◽

Basic Reference ◽

Knowledge Intensive ◽

Self Learning ◽

Content Regulation

This study is focused on the potentiality and benefits that intelligent learning systems can bring to knowledge intensive organizations, in particularly software houses. Therefore the authors will present a conceptual model for the foundation of specialized knowledge systems with dynamic content regulation, oriented to self-learning. Its structure is based on the combination of semantic technologies (e.g. ontologies) and social networks, from where interaction lasts. To achieve that goal, it is important to know how to explore the information in this type of environments, as well as understand which behaviors and trends influence the individuals learning in the digital era. The connectivist theory offers an important contribution to the understanding of this phenomenon, being therefore one of the basic reference in the development of this work.