KomIS 2015 Abstracts


Full Papers
Paper Nr: 3
Title:

Visitor Dynamics in a Cultural Heritage Scenario

Authors:

Salvatore Cuomo, Pasquale De Michele, Ardelio Galletti, Francesco Pane and Giovanni Ponti

Abstract: We propose a biologically inspired mathematical model to simulate the personalized interactions of users with cultural heritage objects and spaces in the real case of an exhibition. The main idea is to measure the interests of a spectator with respect to an artwork by means of a model able to describe the users behavioural dynamics. In our approach, the user is assimilated to a computational neuron, and its interests are deduced by counting potential spike trains, generated by external currents. As an effort, we relies on an huge amount of log files that store visitors movements and interactions within a beautiful art exhibition named The Beauty or the Truth located in Naples, Italy. The technological tools deployed within the exhibition aim to create a novel metaphor stimulating user enjoyment and knowledge diffusion and the collected log files are useful data to analyse how such technology an influence and modify user behaviours. We also performed an experimental analysis exploiting clustering facilities to discover natural groups that reflect visiting styles. This is particularly suitable to provide the tuning of a heuristic classifier. The obtained results revealed to be particularly interesting also to understand other important aspects hidden in the data and unattended in our first analysis.

Paper Nr: 4
Title:

A Novel Approach to Query Expansion based on Semantic Similarity Measures

Authors:

Flora Amato, Aniello De Santo, Francesco Gargiulo, Vincenzo Moscato, Fabio Persia, Antonio Picariello and Giancarlo Sperlì

Abstract: In this paper, we present a framework supporting information retrieval over corpora of documents using an automatic semantic query expansion approach. The main idea is to expand the set of words used as query terms exploiting the notion of semantic similarity between the concepts related to the search terms. We leverage existing lexical resources and similarity metrics computed among terms to generate - by a proper mapping into a vectorial space - an index for the fast retrieval of a set of terms “semantically correlated” to a given query term. The vector of expanded terms is then exploited in the query stage to retrieve documents that are significantly related to specific combinations of the query terms. Preliminary experimental results concerning efficiency and effectiveness of the proposed approach are reported and discussed.

Paper Nr: 7
Title:

Applying the AHP to Smart Mobility Services: A Case Study

Authors:

Roberto Boselli, Mirko Cesarini, Fabio Mercorio and Mario Mezzanzanica

Abstract: Making decision is a far from straightforward process, as it often requires to consider a number of complex criteria whose importance relies on the experiences and the preferences of the decision makers involved. Being able to structure and reproduce this knowledge is a challenging issue in the context of strategic decision making, and also common BI analytics can benefit from the joint use of that knowledge. As a contribution, in this work we describe how a multi criteria decision making technique, i.e., the Analytic Hierarchy Process, has been applied to a smart-mobility context, where the decision goal was to weight the factors that support the innovation of a smart mobility service in the city of Milan. The AHP has been selected as it allows considering both tangible and intangible factors that guide the decision within the model. We employed three distinct kind of stakeholders, namely service providers, over 35, and under 35 users and we synthesised a ranking of criteria on the basis of the preferences they provided. The results shed the light on the different judgments that each group gives to the identified criteria in terms of both ranking and importance.

Paper Nr: 8
Title:

Big Data: A Survey - The New Paradigms, Methodologies and Tools

Authors:

Enrico Giacinto Caldarola and Antonio Maria Rinaldi

Abstract: For several years we are living in the era of information. Since any human activity is carried out by means of information technologies and tends to be digitized, it produces a humongous stack of data that becomes more and more attractive to different stakeholders such as data scientists, entrepreneurs or just privates. All of them are interested in the possibility to gain a deep understanding about people and things, by accurately and wisely analyzing the gold mine of data they produce. The reason for such interest derives from the competitive advantage and the increase in revenues expected from this deep understanding. In order to help analysts in revealing the insights hidden behind data, new paradigms, methodologies and tools have emerged in the last years. There has been a great explosion of technological solutions that arises the need for a review of the current state of the art in the Big Data technologies scenario. Thus, after a characterization of the new paradigm under study, this work aims at surveying the most spread technologies under the Big Data umbrella, throughout a qualitative analysis of their characterizing features.

Short Papers
Paper Nr: 1
Title:

Surfing Big Data Warehouses for Effective Information Gathering

Authors:

Nunziato Cassavia, Pietro Dicosta, Elio Masciari and Domenico Saccà

Abstract: Due to the emerging Big Data paradigm traditional data management techniques result inadequate in many real life scenarios. In particular, OLAP techniques require substantial changes in order to offer useful analysis due to huge amount of data to be analyzed and their velocity and variety. In this paper, we describe an approach for dynamic Big Data searching that based on data collected by a suitable storage system, enriches data in order to guide users through data exploration in an efficient and effective way.

Paper Nr: 5
Title:

An Application of Semantic Web Technologies to Enhance Content Management in Web Information Portals

Authors:

Vincenzo Orabona, Raffaele Palmieri, Vincenzo Moscato, Antonio Picariello, Salvatore D'Elena and Donato Cappetta

Abstract: As well known, Semantic Web technologies make available a set of facilities that allow data to be shared and reused across applications. The last generation of Content Management System (CMS) can leverage such technologies to improve the content management task incorporating semantic annotations of the produced resources. Here, we present the benefits deriving from the application of semantic technologies in a CMS environment. To this goal, we collect preliminary results about the effectiveness of the integration of a semantic annotation engine within the Intrage Web Portal for content management purposes. The obtained results show that the approach is quite promising and encourage the current research.