We present a complete dataset of linked bibliography and index data, partially disambiguated and augmented with references to external resources, extracted from the Brill’s archive in the field of Classics. Processed book identifiers are listed in a separate text file. Text fragments extracted from different books via this process are then parsed and compared using a string-based similarity metric to form clusters of bibliographic references to the same published work or (variants of) the same subjects discussed in these books. The entire set of references was then disambiguated using Google Books and Crossref APIs
In this paper, we present a preliminary approach that uses a set of NLP and Deep Learning methods fo...
We create a Knowledge Graph for Humanities research. Starting with a multidisciplinary dataset of 25...
International audienceThis paper proposes a graph based methodology for automaticallydisambiguating ...
We present a complete dataset of linked bibliography and index data, partially disambiguated and aug...
<p>We describe a domain-specific knowledge base aimed at supporting the extraction of bibliographic ...
Referring constitutes such an essential scholarly activity across disciplines that it has been regar...
The continuous growth of scientific literature brings innovations and, at the same time, raises new ...
Since many databases lack relevance ranking, a citation-based approach can be a valuable complement ...
The digital transformation of the scientific publishing industry has led todramatic improvements in ...
Knowledge graphs (KG) are large networks of entities and relationships, typically expressed as RDF t...
Textbooks are written and organized in a way that facilitates learning and understanding. Sections l...
<p>We consider the task of reference mining: the detection, extraction and classification of referen...
International audienceThis paper proposes a graph-based algorithm baptized REDEN for the disambiguat...
Advances in computational resources and the communications infrastructure, as well as the rapid rise...
Knowledge graphs represent the meaning of properties of real-world entities and relationships among ...
In this paper, we present a preliminary approach that uses a set of NLP and Deep Learning methods fo...
We create a Knowledge Graph for Humanities research. Starting with a multidisciplinary dataset of 25...
International audienceThis paper proposes a graph based methodology for automaticallydisambiguating ...
We present a complete dataset of linked bibliography and index data, partially disambiguated and aug...
<p>We describe a domain-specific knowledge base aimed at supporting the extraction of bibliographic ...
Referring constitutes such an essential scholarly activity across disciplines that it has been regar...
The continuous growth of scientific literature brings innovations and, at the same time, raises new ...
Since many databases lack relevance ranking, a citation-based approach can be a valuable complement ...
The digital transformation of the scientific publishing industry has led todramatic improvements in ...
Knowledge graphs (KG) are large networks of entities and relationships, typically expressed as RDF t...
Textbooks are written and organized in a way that facilitates learning and understanding. Sections l...
<p>We consider the task of reference mining: the detection, extraction and classification of referen...
International audienceThis paper proposes a graph-based algorithm baptized REDEN for the disambiguat...
Advances in computational resources and the communications infrastructure, as well as the rapid rise...
Knowledge graphs represent the meaning of properties of real-world entities and relationships among ...
In this paper, we present a preliminary approach that uses a set of NLP and Deep Learning methods fo...
We create a Knowledge Graph for Humanities research. Starting with a multidisciplinary dataset of 25...
International audienceThis paper proposes a graph based methodology for automaticallydisambiguating ...