In this project, the goal is to achieve an statistical analysis of jurists and economists. We will try to highlight certain properties. The properties are nationality (single or multiple), gender, and date of birth. Afterware, we will be able to carry out an analysis of the study sites. Another interesting property are the other practiced occupations. The aim is to connect data and to see if some careers or profiles emerged. (eg. At a given time, is a profession more privileged?)
Nonetheless, obtaining these properties are contingent to the amount of data from databases, and their qualities. There is a great disproportion on the information quantity available on DBpedia, Wikidata, and BnF Data. The two first have data created by manifold users (even if there is a large moderation). Conversely, on BnF Data, the records are "handmade". Therefore, the objective these plateforme is dissimilar. On BnF Data, the records are made to have some authorities on the works. For Wikidata and DBpedia, the goal is to create the most complete encyclopedia as possible. As we can see, the approaches are not the same. The data and the properties available on Wikidata and DBpedia are not homogeneous between the individuals (subjected to what users entered).
It is necessary to establish the population to define spatial and temporal boundaries. For the temporal boundaries, we chose to start our study in 1770. We include only people born after this date. This date choice corresponds to the date where an individual born in 1770 is in an activity period in 1830. The date of 1830 is an important social marker. And there is homogeneity after this date. Then, it is also that the practices of these disciplines remain the same since this period. On the contrary, we chose to study until today to see the constancies and the variations. For the spatial limits, we chose the maximum limits and to study the geographic disparities.
It is important to define a population's boundaries, to distinguish who is inside and outside of the definitions of "economist" and "jurist" and correctly request the SPARQL endpoints.
We will start by defining the word "economist" First of all, we can read Cambridge dictionary's definition:
This definition is quite simple. We can repeat the same procedure for the definition of "economics":
By this definition, we can say that the "economist" is someone who is a specialist of the system above (even if other definitions are given, this one is the best for us). It is also interesting to see the definition given on Wikipedia (since part of our data comes from it).
We can notice that there is a distinction between the term "economics" (Wikipedia en - Economics) and the term "economy" ( Wikipedia en - Economy). This distinction is also in French but without a different word to distinguish them. In French, we have the word "économie" ( Wikipedia fr - économie (disclipline)) as a scientific discipline and économie as an area ( Wikipedia fr - économie (activité humaine)). The Wikipedia definition on "economics" is clearer:
Now, in our study, we will only use the term "économie" as a scientific discipline. In addition, in the French language, there is an opposition between the terms "économie politique" (political economics) and "économie domestique" (consumer economics). However in English language, 'consumer economics' is a branch of economics and 'political economics' is a distinct discipline.
We can use the same procedure for the definition of jurist. The Cambridge dictionary gives this definition:
There is a little difference with the Wikipedia definition:
In comparison, we can read the french definition of "juriste":
We can observe a distinction between the French term of "juriste" and the English term. The French definition is closer to the definition of "legal professional":
We can notice that the words "lawyer" and "juriste", are similar:
In our research, all three definitions can describe a jurist therefore we will use them to do our SPARQL queries.