Abstract
One of the most promising developments comes with the use of innovative technologies and thus with the availability of novel services. The combination of text mining with legal elements may contribute to the development of many innovative legal IS. Moreover, in the case of public administrations and governments, the distribution, availability, and access towards legal information are essential and urgent. On the other hand, legal data and law texts are a potential open Government data category in order for innovation to be achieved, regarding the development of new, better, and more cost-effective services for citizens. Those data need to be available 24/7 basis and compliant towards a standard. Yet, there exist some severe issues at the moment regarding this access. This, in turn, makes the use of automated crawling and analysis more than difficult. This paper describes the "Peri Nomou" system: an innovative legal information system for Greek laws utilising text mining techniques to indexing legal documents, identifying correlations and dividing legal documents into their articles.

Abstract
Digital Governance (initially ‘Electronic Government’, and later ‘Electronic Governance’ incorporating also ICT-based innovations and transformation) has emerged as a research and practice domain aiming at the exploitation of information and communication technologies (ICT) in government, in order to support, transform and enhance its activities, both the internal ones, as well as the ‘extrovert’ ones concerning communication with the external environment (dialogue and consultation with citizens and firms, and also transaction with them), in order to increase their effectiveness and efficiency. During the last decades, Digital Governance has been recognized as a well-established domain with a highly ambitious objective, which is quite beneficial for the society and the economy: to study and advance the exploitation of ICT for addressing problems and needs of public sector organizations, and develop novel methods and frameworks for enhancing their internal efficiency, service quality and policy-making effectiveness through the use of ICT. Though substantial progress has been made through government funded as well private sector research in a number of areas of it, yet the lack of a science base of the Digital Governance domain seems to hinder unlocking the real transformative value of ICT in the public sector, as well as the full contribution and creativity potential of all its stakeholders, from researchers to industry and SMEs. Such a scientific background would enable a better documentation, organization, structuring of the existing knowledge in this area, as well as its dissemination through training, and also provide systematic directions for high priority future research, in order to develop a portfolio of systematic solutions to specific problems concerning the exploitation of ICT in government organizations (methods for assessment and identification of problems, as well as methods for providing solutions, which can be applied (possibly with some adaptations) in a wide range of organizational, cultural and legal contexts, as it happens in ‘mature’ sciences, such as the engineering ones).This paper provides some research directions concerning the development of the science base of the Digital Governance domain as well as its evolution, and proposes specific relevant research questions that have to be addressed.

Abstract
For long time research and practice in the area of Electronic Government (e-government) has been focusing on the use of information and communication technologies (ICT) for improving the efficiency government agencies’ internal operations, as well as transactions with citizens and firms. However, the increased needs and expectations of citizens, and the proliferation of ‘participatory democracy’ ideas, gave rise to a new generation of ICT exploitation by government for increasing and enhancing citizens’ participation. Furthermore, the increasing social problems and challenges that had to be addressed by government through appropriate public policies, such as the increasing inequalities and poverty, the aging society, the environmental degradation, and the rising number of ‘unpredictable’ events, such as the financial and economic crisis, give rise to the development of a new wave of egovernment focusing on policy analytics for supporting the design of effective responses - public policies for these challenges. Therefore, evolutions in the needs of modern societies, in combination with technological evolutions, give rise to evolutions in e-government, and the emergence of new generations of it. This paper aims at the identification and better understanding of the main characteristics of the different e-Government generations, using an analytical framework based on two rounds of literature review. The results of the study provide insights on the main features of the three main e-government generations, regarding their main goals, obstacles, key methods and tools, and reveal the new emerging generation of e-Government 3.0 and its basic characteristics. Furthermore, within the first and to some extent the second e-Government generation there have been substantial advancements, which have created distinct sub-generations of them, revealed and analysed through extensive relevant growth/maturity stages research.

Abstract
Big Data is, clearly, an integral part of modern information societies. A vast amount of data is, daily, produced and it is estimated that, for the years to come, this number will grow dramatically. In order for transforming this hidden provided information into a useful one, the use of advanced technologies, such as Machine Learning is deemed appropriate. Over the last years, Machine Learning has grown a great effort considering the given opportunities its usage provides. Furthermore, Machine Learning is a technology that can handle Big Data classification for statistical or even more complex purposes such as decision making. At the same time the new generation of government, Government 3.0, explores all the new opportunities to tackle any challenge faced by contemporary societies by utilizing new technologies for data driven decision making. Taking into account the opportunities Machine Learning can provide, more and more governments participate in the development of such applications in different governmental domains. But is the Machine Learning only beneficial for public sectors? Although there is a huge number of researches in the literature there is no a comprehensive study towards the analysis of this technology. Our research moves towards this question conducting a comprehensive analysis of the use of Machine Learning from Governments. Through the analysis all benefits and barriers are indicated from the public sectors' perspective pinpointing, also, a number of Machine Learning applications where governments are involved.

Abstract
Europe's vision is to establish a well-functioning Digital Single Market, where Europeans are able to move and trade among the EU member states. On the other hand the large amount of information about laws that apply in each EU country has posed significant barriers in this vision. Moreover only legal experts can follow the latest legislation in each country consuming a large amount of business resources in order to follow the current legislation. However, Mass customization tools can help to filter and thereby reduce the flood of legal information and make it easier to be followed from businesses and citizens without legal expertise. The proposed solution is a novel ICT architecture utilising and built upon text mining, advanced processing and semantic analysis of legal information towards the provision of a set of services for citizens, businesses, and administrations of the European Union. In order to provide the most appealing, comprehensive and added value services in the legal domain, this paper presents six use case scenarios based on the opinion of different target groups. Conducting interviews and focus groups, we were able to identify the novel functionalities and services of great importance for the users highlighting and addressing users' daily problems regarding legal information. Generally, interviews with the different target groups reveal that at this point, users prioritise their needs towards more basic services such as search functionalities and correlation with previous laws. Lawyers on the other hand as more competent target group asked for summarisation and reporting services. All target groups where eager on the implementation of this service which as it seems it will directly impact their everyday professional and personal use of legal information.

Abstract
Nowadays, Blockchain Technologies (BCT) could be characterized as one of the most promising trends. We are currently witnessing a plethora of implementations basically in the economic sector with the creation of cryptocurrencies. The majority of researchers and practitioners argues that many benefits could be derived from the use of this innovative technology with the most significant one being the improved sense of trust to BCT applications. At the same time governments pursue amplified trust from their citizens and BCT is gaining momentum since it addresses this of utmost importance problem based on its unique characteristics. More and more governments realize the advances of this technology and participate in pilot applications in different vertical governmental sectors. Even though there are several implementations in the Government sector, there is no comprehensive study towards the analysis of the major characteristics of these developments. This paper moves towards the fulfilment of this gap conducting a thorough analysis of e-Government pilot applications of BCT in a European level. Furthermore, this study discusses the key benefits and main barriers coming from the application of this technology in different domains with BCT experts.

Abstract
For long time research and practice in the area of Electronic Government has been focusing on the use of information and communication technologies (ICT) for improving the efficiency and effectiveness of the internal operations of government agencies, as well as for providing elec-tronic transaction services to citizens and firms. The increased needs and expectations of citi-zens, and the proliferation of ‘participatory democracy’ ideas, result in an increase of their di-rect participation in policy making processes, and the use of ICT seems to be an important fa-cilitator of this. At the same time the multiple social problems and challenges to be addressed through policy-making, such as the increasing inequalities and poverty, the aging society, the environmental degradation, and the rising number of ‘unpredictable’ events, such as the finan-cial and economic crises, necessitate the development of a new generation of eGovernment fo-cusing on the design of effective responses - public policies for these challenges. Therefore evo-lutions in the needs of modern societies, in combination with technological evolutions in the ICTs, give rise to evolutions in e-Government, and the emergence of new generations of it. This paper aims at the identification and better understanding of the main characteristics of the dif-ferent e-government generations, using an analytic framework based on two rounds of literature review. The results of the study provide insights on the main features of the three main e-Government generations, regarding their main goals, obstacles, key methods and tools, placing special emphasis on the new emerging generation of e-Government 3.0 and its basic character-istics.

Abstract
One of the most promising developments comes with the use of innovative technologies and thus with the availability of novel services. The combination of text mining with legal elements may contribute to the development of many innovative legal information systems. Moreover, in the case of public administrations and governments, the distribution, availability, and access to-wards legal information are essential and urgent. On the other hand, legal data and law texts are a potential open Government data category in order for innovation to be achieved, regarding the development of new, better, and more cost-effective services for citizens. Those data need to be available 24/7 basis and compliant towards a standard. Yet, there exist some severe issues at the moment regarding this access. This, in turn, makes the use of automated crawling and analysis more than difficult. This paper describes the “Peri Nomou” (about law) system: an innovative legal information system for Greek laws utilising text mining techniques to indexing legal documents, identifying correlations and dividing legal documents into their articles. The first version of the system has been evaluated by legal experts and the second version is developed based on the previous evaluation and presented in this paper. The results from the evaluation indicate the significance of the “Peri Nomou” system for the legal experts and allow us to promote the Peri Nomou system to other user groups, such as business, public administration.

Abstract
Government 3.0 is characterised by the utilisation of disruptive technologies in conjunction with already established ones towards data-intensive decision and policy making. One of the disruptive technologies that will affect in general e-government applications and services provision and will more specifically frame government 3.0, is BCT. Yet no systematic research is available which compares the benefits of BCT with the barriers to its adoption. This paper conducts a literature, research projects and applications review for the BCT within the respecting area of e-government. The inquiry follows a desk-based methodology for the identification of the primary references and research projects as well as a qualitative discussion with experts of the domain. This study identifies the major benefits and impediments for the application of this technology in the e-government domain. The findings show that a gap exists between the promised benefits and barriers and frame future research directions.