Filippo Eros Pani

An Approach to Manage the Web Knowledge

The spread of the Social Web is influencing the evolution of Semantic Web: the way of producing and consulting information changes, as well as the way people relate themselves with the Internet and the services it gives. Users will participate at first hand to the developing of the Web which therefore becomes interactive. This study considers this feature, trying to link the worlds of Social Media and Semantic Web, with the aim of proposing a semantic classification of the information coming from the Web, which do not always follow a well-defined order and organization. Starting from a precise analysis of the information of the Web through an accurate and meticulous study on how these are presented and used, in order to give a sorted and easily usable data structure, this approach wants to define a taxonomy able to represent knowledge through an iterative combined approach, where top-down and bottom-up analyses are applied on the knowledge domain we want to represent.

CitySense: blockchain-oriented smart cities

A smart city is a connected system in which things produce a huge quantity of data. We focused the attention on monitoring the environment quality in urban area by means of a distributed network of small mobile sensors that are devices on the Internet of Things (IoT). Sensors produce digital measurements, useful for investigating and studying the life quality in every part of the city. In our vision, environmental data must be available by everyone and shared with citizens, but it must be unmodifiable. We propose to solve the problem of the sensors data storage and management using a disruptive technology called blockchain. The blockchain responds to the demand of availability and unchangeability and, thanks to the potentiality of smart contracts, makes us able to manage sensor information and implement a control logic. In order to develop the software based on blockchain we chose to apply the SCRUM methodology because of its capabilities of being a flexible, adaptive and iterative methodology.

Digital Libraries: The Challenge of Integrating Instagram with a Taxonomy for Content Management

Interoperability and social implication are two current challenges in the digital library (DL) context. To resolve the problem of interoperability, our work aims to find a relationship between the main metadata schemas. In particular, we want to formalize knowledge through the creation of a metadata taxonomy built with the analysis and the integration of existing schemas associated with DLs. We developed a method to integrate and combine Instagram metadata and hashtags. The final result is a taxonomy, which provides innovative metadata with respect to the classification of resources, as images of Instagram and the user-generated content, that play a primary role in the context of modern DLs. The possibility of Instagram to localize the photos inserted by users allows us to interpret the most relevant and interesting informative content for a specific user type and in a specific location and to improve access, visibility and searching of library content.

Using an Ontology for Multimedia Content Semantics

In recent years, we witnessed the diffusion and rise in popularity of software platforms for the User Generated Content (UGC) management, especially multimedia objects. These platforms handle a large amount of unclassified information. UGC websites (e.g. YouTube and Flickr) do not force the users to perform classification operations and metadata definitions, leaving space to a logic of free-tags (Folksonomies). We analyzed the standards used in UGC websites for the management of the multimedia contents and their metadata. We defined an ontology to represent the semantics of these multimedia contents, so that in turn the metadata classification can give an unambiguous meaning. In order to unify metadata coming from different sources we defined all rules of mapping toward a structure defined by sources such as YouTube and Flickr. The innovation is in the approach for the formalization of web semantics for multimedia content: we used standards such as Dublin Core, Exif, IPTC and in particular the Adobe XMP standard as a starting point of this domain. With the proposed approach, once can categorize and catalog all non-standard and unclassifiable information inside the ontology, using pre-made schemas.

The Web Knowledge Management: A Taxonomy-Based Approach

The structure of the Web grows and changes, giving the user the chance to actively participate in its development. This study tries to link the worlds of Social Media and Semantic Web, with the aim of proposing a semantic classification of the information coming from the Web. Our approach consists in a mixed-iterative process, where top-down and bottom-up analyses of the knowledge domain which has to be represented are applied. We start from the concept of the domain knowledge base. The fundamental body of knowledge available on a domain is the knowledge valuable for knowledge users. We need to represent and manage this knowledge, to define a formalization and codification of knowledge in the domain. This kind of representation was created according to the criteria by which information, in a given domain, is structured within the net, by taking the hierarchy proposed in different sites as a reference.

Hashtag of Instagram: From Folksonomy to Complex Network

The Instagram is a social network for smartphones created in 2010 and acquired by Facebook in 2012. It currently has more than 300 million registered users and allows for the immediate upload of images (square, inspired by Polaroid), to which users can associate hashtags and comments. Moreover, connections can be created between users that share the same interests. In our work, we intend to analyze the hashtags entered by users: the use of such hashtags, as it happens in other social networks like Twitter, generates a folksonomy, that is a user-driven classification of information. We intend to map that folksonomy as a complex network to which we can associate all the typical analysis and evaluations of such a mathematical model. Our purpose is to use the resulting complex network as a marketing tool, in order to improve brand or product awareness.

A Semantic Social Bookmarking System based on a Wiki-like Approach

The advent of Web 2.0 has provided users with the ability to actively participate in the building, management and sharing of contents. This new modality to experience the Web has led to the development of new ways of collaborative knowledge creation, which have promoted the spread of the earliest user-generated contents, not only textual ones but also multimedia ones. The most important example of collaborative knowledge base on the Web is definitely Wikipedia. The increasing involvement of users in the management and organization of Web content has encouraged the development of other forms related to the knowledge organization and dissemination, including social networks and social bookmarking systems. The proposed work deals with the development of an innovative system of social bookmarking based on a semantic wiki-like approach, characterized by an ex-ante classification conducted on two axes: one vertical (hierarchical and taxonomic axis) and one horizontal (folksonomic axis through tags).

Transferring FAME, a Methodology for Assessing Open Source Solutions, from University to SMEs

We present FAME (Filter, Analyze, Measure and Evaluate), a simplified approach for Open Source software assessment. This approach has been derived by more heavyweight, proven approaches developed in a University research environment, to match the needs of small organizations. The proposed approach has been developed by CC-ICT-SUD, a consortium for the delivery of technology transfer services, and for transferring advanced methodologies for software evaluation and assessment from academic to industrial contexts, in particular for Small and Medium Enterprises (SME). The FAME methodology is briefly described, and a case study involving the choice of a document management system for a SME is presented, showing how the approach can be used.

An Approach to Knowledge Formalization

Just a few years after its birth, Knowledge Management drew the attention of the academic world, becoming a matter of intense study as the scientific community has always felt the need to create the cooperation among its members allowing the information exchange. Many disciplines develop several standardized formalization that domain experts can use to share information as reusable knowledge. The purpose of this chapter is the study of a process to formalize knowledge by using an iterative approach mixing a top-down and bottom up analysis of a specific domain and the bottom-up analysis for the information in the object of the specific domain. Our case study analyzes the domain of descriptions and reviews of Italian wines. We start by analyzing the information collected from the Web in order to define a taxonomy able to represent the knowledge related to the above mentioned domain.

A New Idea for Enterprise Resource Management.

Nowadays the mobile market, thanks to latest generation smartphones, is still spreading: this is mainly due to increasingly powerful computing tools (microprocessors quad core) and to the used operating systems; Android stands among those with the greatest growth. The fields with a strong growth are those linked to mobile advertising, mobile infotainment and B2C mobile services, within which our proposal takes place. The starting idea of this paper is to show the abilities of the implementation of an integrated platform able to support an organization on its authorization, communication and sharing processes, accessible from mobile devices such as smartphones and tablets belonging to employees or customers of an enterprise.