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Cristian Lai <[log in to unmask]>
Mon, 4 Jul 2016 08:05:51 +0100
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*10th International Workshop on*

*Information Filtering and Retrieval

Workshop of AI*IA 2016

15th International Conference of the Italian Association for Artificial 


Genova, November 28 - December 1, 2016


Technological evolution in electronic and computer science has led to 
the advent of the so called information age. Information is continuously 
created and stored at an impressive pace. Nowadays, data is readily 
available in large quantities and on an enormous variety of subjects. It 
becomes more important to have automatic methods to manage and indexing 
data, in order to search and retrieve only useful information. Advanced 
information retrieval methods, tools, and infrastructures require 
expertise in different research areas, including machine learning, data 
mining, computer linguistics, artificial intelligence, user interaction 
and modeling, Web engineering, or distributed systems.

DART 2016 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.

Information Retrieval attempts to address similar filtering and ranking 
problems for pieces of information such as links, pages, and documents. 
Information Retrieval systems generally focus on the development of 
global retrieval techniques, often neglecting individual user needs and 

Information Filtering has drastically changed the way information 
seekers find what they are searching for. In fact, they effectively 
prune large information spaces and help users in selecting items that 
best meet their needs, interests, preferences, and tastes. These systems 
rely strongly on the use of various machine learning tools and 
algorithms for learning how to rank items and predict user evaluation.


Authors should submit an original paper in English, carefully checked 
for correct grammar and spelling, using the on-line submission procedure.

The submission must have up to 12 pages, otherwise it will be rejected 
without review, in the Springer LNCS style (please see details).

Paper submission is electronic via easychair at the address:


Submissions will have a peer review by the Program Committee on the 
basis of technical quality, relevance to the workshop topics, 
originality, significance, and clarity.


Papers classified as Full Papers are awarded a 30’ minutes slot for an 
oral presentation at the conference. Papers classified as Short Papers 
are given either a 20’ minutes slot for an oral presentation or assigned 
to present at a Poster Session. Authors who have been assigned an oral 
presentation, either Full or Short, may however also choose to present 
at a Poster Session instead, should they prefer it.


Papers classified as Full Papers will be assigned a 12-page limit in the 
Conference Proceedings, while Papers classified as Short Papers have an 
8-page limit. The total number of pages to consider is the number 
obtained after the paper has been correctly formatted according to the 
appropriate template. The Workshop Proceedings will be published online 
on CEUR Workshop Proceedings (

The corresponding-authors will be notified at all time, for the 
submission, notification, and confirmation on the attendance.

Submitting a paper to the workshop means that, if the paper is accepted, 
at least one author should attend the conference to present the paper 
and should then register to the conference with a workshop fee.


The proceedings will be submitted to Thomson Reuters Conference 
Proceedings Citation Index (ISI), INSPEC, DBLP, EI (Elsevier Index) and 
Scopus for indexation.


Topics of interest will include (but not are limited to):

- Web Information Filtering and Retrieval

- Web Personalization and Recommendation

- Web Advertising

- Web Agents

- Web of Data

- Semantic Web

- Open Data

- Linked Open Data

- Semantics and Ontology Engineering

- Search for Social Networks and Social Media

- Natural Language and Information Retrieval in the Social Web

- Real-time Search

- Text categorization

- IoT


Submission deadline: *September 1, 2016*

Notification of acceptance: *October 1, 2016*

Final Paper Submission and Registration*: October 12, 2016*

Workshop day: *November 28, 2016*


*Cristian Lai*- CRS4, Center of Advanced Studies, Research and 
Development in Sardinia, Pula (Italy)

*Giovanni Semeraro*- Dept. of Computer Science, University of Bari, Aldo 
Moro, Bari (Italy)

*Alessandro Giuliani *- Dept. of Electrical and Electronic Engineering, 
University of Cagliari, Cagliari (Italy)


*Fedelucio Narducci*- Dept. of Computer Science, University of Bari, 
Aldo Moro, Bari (Italy)

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