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ONTOLOGY-BASED DATA INTEGRATION FOR THE

DIGITAL HUMANITIES

LE STUDIUM CONFERENCES

AROUND THE PROJECT

Dr Emilio Maria Sanfilippo

LE STUDIUM Research Fellow

ARD 2020 INTELLIGENCE DES PATRIMOINES Programme

From: Laboratory of Digital Sciences of

Nantes (LS2N) - Nantes

In residence at: Centre for Advanced

Studies in the Renaissance (CESR) - Tours

Nationality: Italian

Dates: April 2019 to August 2020

I got a bachelor and master degree in Philosophy

at the University of Catania (Italy). The interest for

interdisciplinary research brought me at Saarland

University (Germany), where I had a research

position at the Institute for Formal Ontology and

Medical Information Science (IFOMIS). I then

moved to the Italian CNR and I got a PhD in

Information and Communication Technologies

from the University of Trento with a thesis on formal

ontologies for manufacturing. I moved to France

with a postdoctoral position at the Laboratory of

Digital Sciences of Nantes (at the École Centrale de

Nantes and CNRS), where I continued the research

line of my PhD thesis. Thanks to the Le Studium

fellowship, I had a great research expertience at the

CESR (University of Tours and CNRS) about the use

of ontologies for cultural heritage. I am permanent

researcher at the Italian CNR since October 2020.

The project addresses fundamental and application research in the context

of the Digital Humanities. The driving idea is about the development of

computational ontologies by which multiple and heterogeneous datasets

can be published in a Web environment.

Why do these efforts require research support? Let us assume that your

data are about musical scores published in multiple editions. The way in

which you model and describe the data depends on both your understanding

of the musical domain and the terminology adopted in your working

environment. Here the research challenge starts to emerge. Indeed, when

you share data with other fellows, you must be sure that they understand

what you mean, hence, that the intended semantics of the data is preserved

in the data sharing process. For instance, what you call ‘musical piece’ may

be called ‘musical composition’ by others for whom ‘piece’ may be used

only for compositions’ parts. As simple as this example can be, it depicts

a source of traps, because there is no guarantee that third-parties fully

understand your data when the latter are shared. Nor computer systems

can fix this situation by their own, since they cannot access data meanings

if the latter are not explicitly encoded.

Ontologies are formal models representing the intended meaning of a

vocabulary of terms used, e.g., for data modeling/sharing in such a way

to make it processable by both humans and machines. The main purpose

is to enhance communication between humans, machines, or humansmachines

interactions.

In the context of the LE STUDIUM fellowship, I contribute to the design of

a Semantic Web ontology covering data spanning across several domains,

including musicology and the study of ancient documents, as well as biology

and natural heritage. The challenge is to define a conceptual framework

that is general enough to encompass such a variety of data while being

useful for concrete application settings. Also, despite the state of the art

is quite rich, there are several notions which lack a robust conceptual and

formal treatment, e.g., that of musical or literary work. For instance, when

two people read Shakespeare’s Hamlet, one in English and the other in

French, we commonly claim that they read the same novel, even though

the texts are different. Are there any principles behind this common-sense

intuition? Is it possible to make a cut-off distinction between a novel and

its various texts? These and other questions are fundamental when data on

works have to be managed.

FAIR HERITAGE: DIGITAL METHODS, SCHOLARLY

EDITING AND TOOLS FOR CULTURAL AND NATURAL

HERITAGE

The purpose of the conference was

to bring together multiple research

communities and stakeholders

working with Open Science and FAIR

principles (Findable, Accessible,

Interoperable, Reusable) for data

management/sharing in the context

of heritage studies. As advocated

by the European Commission, FAIR

principles play a decisive role to

define guidelines and valuable tools

for managing data in robust ways.

We were particularly interested in

research questions addressing both

methodological and application

challenges emerging from data

management practices (e.g., data

modeling, sharing, integration,

analysis, etc.).

With the many talks given during the conference, participants exchanged a lot

of thoughts about research in the Digital Humanities by coming to know about

interesting research projects and initiatives world-wide. From a personal

side, the conference has also contributed to enrich my academic networking

allowing me to meet researchers with whom I have then started a fruitful

collaboration.

The Web conference was organized in collaboration with Xavier Rodier,

Director of the Maison de Sciences de l’Homme Val de Loire (MSH VdL).

We had about 30 talks about fundamental and application research in

the Digital Humanities; about 60 people participated to the conference.

Many of them engaged in discussions and produced a document that is

available on the Le Studium Web site. The recording of the conference

is available, too.

Oral communications

• Sanfilippo, E.M., Towards the ontological

analysis and modularization of CIDOC-CRM

(v.6.2.1). AT: 48th CIDOC-CRM SIG, virtual event,

22 November 2020

• Sanfilippo, E.M., Ontology engineering for

geological modeling. AT: Knowledge’s frontiers

in water unsaturated hydrogeosystems:

interface dynamics, heterogeneities &

couplings, Le Studium Workshop, 27-28 June,

2019, Orleans, France

• Sanfilippo, E.M., Introduction to ontology

engineering; Use of CIDOC-CRM for research

and development at the ARD Intelligences des

Patrimoines; support for tutorial on OnTop and

3M. AT: l’École DONIPAT, 14-18 October 2019,

Aussois, France

• Sanfilippo, E.M., Ontology engineering for

data modeling in musicology. AT: Conference

on Counterpoints: Renaissance Music and

Scholarly Debate in the Digital Domain, 14-16

November, 2019, Tours, France

Scientific communications

• Sanfilippo EM, Markhoff B, Pittet P. Ontological

Analysis and Modularization of CIDOC-

CRM. Proceedings of the 11th International

Conference Formal Ontologies in Information

Systems (FOIS); IOS Press, 2020.

• Masolo C, Sanfilippo EM, Lamé M, Pittet P.

Modeling concept drift for historical research

in the digital humanities. In 1st International

Workshop on Ontologies for Digital Humanities

and their Social Analysis (WODHSA). CEUR vol.

2518, 2019

• Lamé M, Pittet P, Ponchio F, Markhoff B,

Sanfilippo EM. Heterotoki: non-structured

and heterogeneous terminology alignment for

Digital Humanities data producers, vol. 2375,

2019

Prof. Benoist Pierre

Host Scientist

Human & Social Sciences 2020

84

Benoist Pierre is a full Professor (First Class)

at the University of Tours. In 2016, he has been

elected Director of the CESR (UFR and UMR

7323) and of I-Pat (Intelligence des Patrimoines

Programme) for five year, led by the CESR which

involves several hundred researchers and more

than 40 laboratories in the Centre-Val de Loire

Region. His research work, which was initially

on the relations between religion and politics in

modern-era Europe, is currently being developed

within the CESR according to three axes (i) the

analysis of court societies and their relation to the

State in modern Europe; (ii) the study of heritage

and more particularly châteaux heritage in the

Val de Loire; (iii) the notion of mediatisation and

promotion of sciences principally on culture,

heritage and humanities. Prof. B. Pierre has

published 12 books, 60 papers in international

peer review journals and presented 70 public talks.

Human & Social Sciences 2020

85

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