Within the Institute of Informatics and Telematics of the National Research Council in Pisa, a ne... more Within the Institute of Informatics and Telematics of the National Research Council in Pisa, a new working group on distributed ledgers (DL) is being set up. The main objective of the group is to study DL technology and implement DL-based solutions for different scenarios, such as traceability of products and health care applications (HCAs). In this paper we focus on HCAs and we illustrate how they can be transformed with the introduction of DL.
In the field of Digital Humanities, cultural assets can be valued and preserved at different leve... more In the field of Digital Humanities, cultural assets can be valued and preserved at different levels, and what is considered a knowledge resource can greatly vary depending on its peculiarity and richness. Within the Clavius on the Web Project we consider mainly two kinds of knowledge resources: contextual resources associated to digitized documents and manual annotations of cultural assets. For each of these knowledge resources, we implemented a different software: the Web Metadata Editor for contextual resources and the Knowledge Atlas to support manual annotation.
In 2020 a new pandemic, named COVID-19 has been spreading all over the world, causing a reduction... more In 2020 a new pandemic, named COVID-19 has been spreading all over the world, causing a reduction of activities, including in the tourism sector. This paper tries to quantify the effects of COVID-19 on accommodations, with a particular focus on prices trend and accommodations availability. Experiments simulated more than 400 accommodation bookings over the period of time before, during and after the wave of the pandemic caused by COVID-19. The analysis is done for the city of Pisa, but it could be generalized to all the other cities, provided that there is an availability of data. The typology with the highest drop in availability was that of 2-star hotels with a maximum decrease of 66%. Even the 4 and 3-star hotels were clearly affected by the pandemic, recording maximum drops of 36% for 4-star hotels and 25% for 3-star hotels. Regarding the analysis of prices trend, the categories most affected by the pandemic were hotels, hostels and tourist villages, which recorded significant p...
Within the field of Digital Humanities, a great effort has been made to digitize documents and co... more Within the field of Digital Humanities, a great effort has been made to digitize documents and collections in order to build catalogs and exhibitions on the Web. In this paper, we present WeME, a Web application for building a knowledge base, which can be used to describe digital documents. WeME can be used by different categories of users: archivists/librarians and scholars. WeME extracts information from some well-known Linked Data nodes, i.e. DBpedia and GeoNames, as well as traditional Web sources, i.e. VIAF. As a use case of WeME, we describe the knowledge base related to the Christopher Clavius’s corre spondence. Clavius was a mathematician and an astronomer of the XVI Century. He wrote more than 300 letters, most of which are owned by the Historical Archives of the Pontifical Gregorian University (APUG) in Rome. The built knowledge base contains 139 links to DBpedia, 83 links to GeoNames and 129 links to VIAF. In order to test the usability of WeME, we invited 26 users to tes...
Journal of Systems and Information Technology, 2020
Purpose Ship route prediction (SRP) is a quite complicated task, which enables the determination ... more Purpose Ship route prediction (SRP) is a quite complicated task, which enables the determination of the next position of a ship after a given period of time, given its current position. This paper aims to describe a study, which compares five families of multiclass classification algorithms to perform SRP. Design/methodology/approach Tested algorithm families include: Naive Bayes (NB), nearest neighbors, decision trees, linear algorithms and extension from binary. A common structure for all the algorithm families was implemented and adapted to the specific case, according to the test to be done. The tests were done on one month of real data extracted from automatic identification system messages, collected around the island of Malta. Findings Experiments show that K-nearest neighbors and decision trees algorithms outperform all the other algorithms. Experiments also demonstrate that linear algorithms and NB have a very poor performance. Research limitations/implications This study i...
Proceedings of the Third AIUCD Annual Conference on Humanities and Their Methods in the Digital Ecosystem, 2015
This paper describes the full procedure adopted in the context of the Clavius on the Web project,... more This paper describes the full procedure adopted in the context of the Clavius on the Web project, which aims to help Web users to appraise the importance of specific manuscripts by going beyond their digital reproduction. The proposed approach is based on the multilayered explication of linguistic, lexical and semantic data representing the innermost nature of the analyzed manuscripts. The final purpose of the project is to gather and display the results of the three layers of analysis through interactive visualization techniques and export them as Linked Data. All the analyses rely on the XML/TEI encoding of the text, followed by a CTS-based tokenization. As a working example for this paper, the analysis of a portion of a manuscript provided by Historical Archives of the Pontifical Gregorian University will be illustrated. The text is a letter written in Latin and sent by Botvitus Nericius to Christophorus Clavius in 1598 from Madrid.
Advances in Social Networks Analysis and Mining, Aug 17, 2014
Organised crime uses information technology systems to communicate, work or expand its influence.... more Organised crime uses information technology systems to communicate, work or expand its influence. The EU FP7 Security Research Project CAPER (Collaborative information, Acquisition, Processing, Exploitation and Reporting for the prevention of organised crime), created in cooperation with European Law Enforcement Agencies (LEAs), aims to build a common collaborative and information sharing platform for the detection and prevention of organised crime, which exploits Open Source Intelligence (OSINT). LEAs are becoming more inclined to using OSINT tools, and particularly tools able to manage Online Social Networks (OSNs) data. This paper presents the CAPER Facebook crawling and analysis subsystem. Heuristic algorithms have been implemented in order to extract specific properties of Facebook's social graph, in particular user interactions. To support analysis tasks specifically, extensive effort has been spent on the analysis of textual user generated content and on the recognition of named-entities, in particular person names, locations and organisations. Relationships between users and entities mentioned in posts and in related comments are created and merged into the users networks extracted from the social graph. All entity relationships are finally visualised in user-friendly network graphs.
ABSTRACT Processing documents is a critical and crucial aspect for en-terprises. The management o... more ABSTRACT Processing documents is a critical and crucial aspect for en-terprises. The management of documents involves several people and can be a long and time-wasting process. We developed a document workflow engine based on email paradigm. Exploiting a web application, the sub-ject of the workflow, the document, can be sent as an email attachment. Our solution overcomes the current limitation in the use of Document Workflow software, especially regarding user experience. With our sys-tem there is no need for users to learn how a new framework works. In addition, users with different roles have different customized view of the document. Moreover a suggest feature has been implemented; the system suggests a possible receiver for the document, depending on the document flow.
Within the Institute of Informatics and Telematics of the National Research Council in Pisa, a ne... more Within the Institute of Informatics and Telematics of the National Research Council in Pisa, a new working group on distributed ledgers (DL) is being set up. The main objective of the group is to study DL technology and implement DL-based solutions for different scenarios, such as traceability of products and health care applications (HCAs). In this paper we focus on HCAs and we illustrate how they can be transformed with the introduction of DL.
In the field of Digital Humanities, cultural assets can be valued and preserved at different leve... more In the field of Digital Humanities, cultural assets can be valued and preserved at different levels, and what is considered a knowledge resource can greatly vary depending on its peculiarity and richness. Within the Clavius on the Web Project we consider mainly two kinds of knowledge resources: contextual resources associated to digitized documents and manual annotations of cultural assets. For each of these knowledge resources, we implemented a different software: the Web Metadata Editor for contextual resources and the Knowledge Atlas to support manual annotation.
In 2020 a new pandemic, named COVID-19 has been spreading all over the world, causing a reduction... more In 2020 a new pandemic, named COVID-19 has been spreading all over the world, causing a reduction of activities, including in the tourism sector. This paper tries to quantify the effects of COVID-19 on accommodations, with a particular focus on prices trend and accommodations availability. Experiments simulated more than 400 accommodation bookings over the period of time before, during and after the wave of the pandemic caused by COVID-19. The analysis is done for the city of Pisa, but it could be generalized to all the other cities, provided that there is an availability of data. The typology with the highest drop in availability was that of 2-star hotels with a maximum decrease of 66%. Even the 4 and 3-star hotels were clearly affected by the pandemic, recording maximum drops of 36% for 4-star hotels and 25% for 3-star hotels. Regarding the analysis of prices trend, the categories most affected by the pandemic were hotels, hostels and tourist villages, which recorded significant p...
Within the field of Digital Humanities, a great effort has been made to digitize documents and co... more Within the field of Digital Humanities, a great effort has been made to digitize documents and collections in order to build catalogs and exhibitions on the Web. In this paper, we present WeME, a Web application for building a knowledge base, which can be used to describe digital documents. WeME can be used by different categories of users: archivists/librarians and scholars. WeME extracts information from some well-known Linked Data nodes, i.e. DBpedia and GeoNames, as well as traditional Web sources, i.e. VIAF. As a use case of WeME, we describe the knowledge base related to the Christopher Clavius’s corre spondence. Clavius was a mathematician and an astronomer of the XVI Century. He wrote more than 300 letters, most of which are owned by the Historical Archives of the Pontifical Gregorian University (APUG) in Rome. The built knowledge base contains 139 links to DBpedia, 83 links to GeoNames and 129 links to VIAF. In order to test the usability of WeME, we invited 26 users to tes...
Journal of Systems and Information Technology, 2020
Purpose Ship route prediction (SRP) is a quite complicated task, which enables the determination ... more Purpose Ship route prediction (SRP) is a quite complicated task, which enables the determination of the next position of a ship after a given period of time, given its current position. This paper aims to describe a study, which compares five families of multiclass classification algorithms to perform SRP. Design/methodology/approach Tested algorithm families include: Naive Bayes (NB), nearest neighbors, decision trees, linear algorithms and extension from binary. A common structure for all the algorithm families was implemented and adapted to the specific case, according to the test to be done. The tests were done on one month of real data extracted from automatic identification system messages, collected around the island of Malta. Findings Experiments show that K-nearest neighbors and decision trees algorithms outperform all the other algorithms. Experiments also demonstrate that linear algorithms and NB have a very poor performance. Research limitations/implications This study i...
Proceedings of the Third AIUCD Annual Conference on Humanities and Their Methods in the Digital Ecosystem, 2015
This paper describes the full procedure adopted in the context of the Clavius on the Web project,... more This paper describes the full procedure adopted in the context of the Clavius on the Web project, which aims to help Web users to appraise the importance of specific manuscripts by going beyond their digital reproduction. The proposed approach is based on the multilayered explication of linguistic, lexical and semantic data representing the innermost nature of the analyzed manuscripts. The final purpose of the project is to gather and display the results of the three layers of analysis through interactive visualization techniques and export them as Linked Data. All the analyses rely on the XML/TEI encoding of the text, followed by a CTS-based tokenization. As a working example for this paper, the analysis of a portion of a manuscript provided by Historical Archives of the Pontifical Gregorian University will be illustrated. The text is a letter written in Latin and sent by Botvitus Nericius to Christophorus Clavius in 1598 from Madrid.
Advances in Social Networks Analysis and Mining, Aug 17, 2014
Organised crime uses information technology systems to communicate, work or expand its influence.... more Organised crime uses information technology systems to communicate, work or expand its influence. The EU FP7 Security Research Project CAPER (Collaborative information, Acquisition, Processing, Exploitation and Reporting for the prevention of organised crime), created in cooperation with European Law Enforcement Agencies (LEAs), aims to build a common collaborative and information sharing platform for the detection and prevention of organised crime, which exploits Open Source Intelligence (OSINT). LEAs are becoming more inclined to using OSINT tools, and particularly tools able to manage Online Social Networks (OSNs) data. This paper presents the CAPER Facebook crawling and analysis subsystem. Heuristic algorithms have been implemented in order to extract specific properties of Facebook's social graph, in particular user interactions. To support analysis tasks specifically, extensive effort has been spent on the analysis of textual user generated content and on the recognition of named-entities, in particular person names, locations and organisations. Relationships between users and entities mentioned in posts and in related comments are created and merged into the users networks extracted from the social graph. All entity relationships are finally visualised in user-friendly network graphs.
ABSTRACT Processing documents is a critical and crucial aspect for en-terprises. The management o... more ABSTRACT Processing documents is a critical and crucial aspect for en-terprises. The management of documents involves several people and can be a long and time-wasting process. We developed a document workflow engine based on email paradigm. Exploiting a web application, the sub-ject of the workflow, the document, can be sent as an email attachment. Our solution overcomes the current limitation in the use of Document Workflow software, especially regarding user experience. With our sys-tem there is no need for users to learn how a new framework works. In addition, users with different roles have different customized view of the document. Moreover a suggest feature has been implemented; the system suggests a possible receiver for the document, depending on the document flow.
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Papers by Andrea Marchetti