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Special Sessions

Special sessions are very small and specialized events to be held during the conference as a set of oral and poster presentations that are highly specialized in some particular theme or consisting of the works of some particular international project. The goal of special sessions (minimum 4 papers; maximum 9) is to provide a focused discussion on innovative topics. All accepted papers will be published in a special section of the conference proceedings book, under an ISBN reference, and on digital support. All papers presented at the conference venue will be available at the SCITEPRESS Digital Library. SCITEPRESS is a member of CrossRef and every paper is given a DOI (Digital Object Identifier). The proceedings are submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (ISI), DBLP, EI (Elsevier Engineering Village Index), Scopus, Semantic Scholar and Google Scholar.


SPECIAL SESSIONS LIST

SSTM 2013Special Session on Text Mining
Chair(s): Ana Fred

SSEO 2013Special Session on Enterprise Ontology
Chair(s): Jan Dietz

RDBPM 2013Special Session on Research and Development on Business Process Management
Chair(s): Nuno Gonçalves

ISI–BDM 2013Special Session on Information Security Intelligence for Business Decision Makers
Chair(s): Henrique Santos and Teresa Pereira

SNAM 2013Special Session on Social Network Analysis and Mining
Chair(s): Carmen Morgado

Special Session on Text Mining - SSTM 2013



Chair

Ana Fred
Instituto de Telecomunicações and Instituto Superior Técnico - Lisbon University
Portugal
e-mail
 
Scope

With the increasing popularity and availability of Internet-based technologies, as well as the proliferation of digital computing devices and their use in communication, huge amounts of Human generated content is produced every day in the form of documents, email, instant messaging, social network sites, blogs, and other textual corpora. As a result, we have witnessed an increased demand for systems and algorithms capable of mining textual data, seeking interesting characteristics, hidden patterns, structure, trends, knowledge and key relationships within these large textual corpora. Text mining, combining the disciplines of data mining, information extraction, information retrieval, text categorization, probabilistic modeling, linear algebra, machine learning, and computational linguistics, is a new interdisciplinary field that emerged to address these issues. Examples of emergent applications include metadata generation, visualization techniques, information extraction, text segmentation and classification, text summarization, and trend analysis, to name a few.


Special Session on Enterprise Ontology - SSEO 2013



Chair

Jan Dietz
Delft University of Technology
Netherlands
e-mail
 
Scope

The notion of Enterprise Ontology adopted in this special session is the systemic notion. Next to the common notion of conceptual schema of a reference universe of discourse (the data view), it comprises the construction view, the process view, and the operation view on organizations. Enterprise Ontology seeks for understanding the implementation independent essence of an organization. By nature, an organization’s essential model is a reference model for all organizations in the same business. Such essential models are crucial in mastering the complexity of enterprise transformations, and in designing enterprise information systems and enterprise-wide knowledge management systems.


Special Session on Research and Development on Business Process Management - RDBPM 2013



Chair

Nuno Gonçalves
Superior School of Technology, Polithecnical Institute of Setúbal
Portugal
e-mail
 
Scope

Business process management (BPM) is a holistic management approach focused on aligning all aspects of an organization with the wants and needs of clients. BPM and SOA are key to obtain higher levels of coordination across the enterprise and increase efficiency. This special session provides a forum for researchers and practitioners in all aspects of BPM including theory, frameworks, methods, techniques, architectures, systems, and empirical findings, attracting innovative contributions from several disciplines such as Computer Science, Management, Services Computing, and Information Technology Management. The main topics addressed include Business Process Design, Business Process Modeling, Business Analytics and Process Optimization, Business Process Execution and Monitoring. It also aims at discussing practical challenges encountered and solutions adopted.


Special Session on Information Security Intelligence for Business Decision Makers - ISI–BDM 2013



Co-chairs

Henrique Santos
University of Minho
Portugal
e-mail
 
Teresa Pereira
Polytechnic Institute of Viana do Castelo
Portugal
e-mail
 
Scope

Information Security Management is an issue that managers and decision makers have to deal with, especially when the organization's activity deeply depends on IT resources. Speed and flexible operations promoted by information and communication technologies leads organizations to become heavily dependent on the performance of their information systems to enhance business operations, facilitate management decision-­-making, and deploy business strategies. However, all these benefits come with the cost of increasing threats, even with the ability to shut down the organization. Caring about information security is no more an option, but a management objective. The use of new technologies, the increase use of the Internet and the emergence of the Internet-­-enabled services has promoted a growing interest in the continuously deployment of information security management, in order to ensure the reliability of the organizational information systems.
Currently Security Managers are mainly focused on the management and interpretative techniques to help decision-­-makers, governments, security consultants and researchers to correctly evaluate the massive amounts of data generated by security controls. The analysis of these massive and complex data is extremely difficult, but essential to achieve new discoveries and make efficient business decisions.



Special Session on Social Network Analysis and Mining - SNAM 2013



Chair

Carmen Morgado
New University of Lisbon
Portugal
e-mail
 
Scope

Social networks have become an increasingly popular communication tool, making more and more part of our every day life. More and more people use social networks as a quick and easy way to communicate, share information and also to find contents and contacts. As a consequence of this there is an increasing amount of information offered to users.
But not all the information is important or relevant to all users to whom it is offered. So there is a need of mechanisms to help users in selecting and filtering the information based on the analysis of the social network and on its users profiles, behaviors and contents. In order to accomplish this there is an increasing need to understand the social connections and behaviors within these networks and also analyze and manage the information that exists in these systems.















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