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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) and Scopus.


SPECIAL SESSIONS LIST

SSTM 2015Special Session on Text Mining
Chair(s): Ana Fred and Rui Rodrigues

DART 2015Special Session on Information Filtering and Retrieval
Chair(s): Cristian Lai, Alessandro Giuliani and Giovanni Semeraro

Special Session on Text Mining - SSTM 2015

Paper Submission: September 2, 2015 (expired)
Authors Notification: September 17, 2015 (expired)
Camera Ready and Registration: September 25, 2015 (expired)


Co-chairs

Ana Fred
Instituto de Telecomunicações and Instituto Superior Técnico - Lisbon University
Portugal
e-mail
 
Rui Rodrigues
INSTICC
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 Information Filtering and Retrieval - DART 2015

Paper Submission: September 2, 2015 (expired)
Authors Notification: September 17, 2015 (expired)
Camera Ready and Registration: September 25, 2015 (expired)


Co-chairs

Cristian Lai
CRS4
Italy
e-mail
 
Alessandro Giuliani
University of Cagliari
Italy
e-mail
 
Giovanni Semeraro
University of Bari Aldo Moro
Italy
e-mail
 
Scope

DART 2015 intends to provide a more interactive and focused platform for researchers and practitioners for presenting and discussing new and emerging ideas. It is focused on researching and studying new challenges in intelligent information filtering and retrieval. In particular, DART aims to investigate novel systems and tools to web scenarios and semantic computing. In so doing, DART will contribute to discuss and compare suitable novel solutions based on intelligent techniques and applied in real-world applications.


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