Sparql for Computational Modeling Project

I am seeking an expert in Computational Modelling within the domain of Social Sciences. Using SPARQL specifically, the focus of this project will involve querying and manipulating semantic data. While the type of databases or data sources is not yet defined, proficiency in working with RDF formats, Relational and NoSQL databases would be valuable. Ideal candidate should possess the following skills:

- Proficient knowledge in Sparql.
- Exceptional problem-solving ability.
- Strong background in Social Sciences.
- Experience working with different data sources.

Knowledge in Image Analysis and Natural Language Processing is also a huge plus.
The House of Commons SPARQL endpoint (https://api.parliament.uk/sparql/) provides access to
structured data about Members of Parliament (MPs) and questions that have been asked in the House
of Commons. Use this data together with data from Wikidata (where necessary) to answer the following
questions, presenting your findings in the form of a report of up to 3000 words, based on data about
questions asked by MPs between 1 January 2023 and 30 September 2023 inclusive:
Q1.To what extent do Members of Parliament (MPs) tend to ask questions that directly reference
their own constituency or a location in it? You should answer this question by identifying named
entities that refer to places or identifiable geographical features (e.g. “Dartford Crossing”,
“Reading Gaol”, etc.) in asked questions, and determining whether or not these are located in
the MP’s constituency using data from Wikidata. You are free to choose any reasonable method
in doing so – even if doing so will result in some false negatives – (e.g. relying on Wikidata
property P131 “located in the administrative territorial entity”), however you should estimate
how reliable you believe your chosen approach is. (N.B. it is not expected or required that your
approach will result in 100% accuracy.)
Q2.By applying LDA topic modeling and analyzing the results, what (if any) identifiable regional
differences are there in the types of questions asked – e.g. do MPs representing, say,
constituencies located in the North of England tend to ask more questions about certain topics
than those in Southeast England? In answering this question, you should start by aggregating
data into regions larger than an electoral district, such as those denoted by the property “region
of England” https://www.wikidata.org/wiki/Q48091 (For simplicity, you may treat Scotland and
Northern Ireland as two separate regions without further subdivisions, or alternatively use any
reasonable administrative subdivisions for these regions as you see fit). Discuss the assumptions
and limitations of your approach and analysis.
The following SPARQL query can be used as a starting point:
SELECT *
WHERE {
?question <https://id.parliament.uk/schema/writtenQuestionIndexingAndSearchUin> ?qnum .
?person <https://id.parliament.uk/schema/askingPersonHasQuestion> ?question .
?question <https://id.parliament.uk/schema/questionText> ?text .
?question <https://id.parliament.uk/schema/questionAskedAt> ?date .
FILTER (?date >= "2023-01-01+00:00"^^xsd:dateTime && ?date < "2023-10-01+00:00"^^xsd:dateTime)
}
This query returns the following data:
?question Entity representing a question
?person Entity representing the person who asked the question
?qnum Numerical identifier for this question
?text The text of the question

More details will be provided on request!