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Vec2SPARQL: integrating SPARQL queries and knowledge graph embeddings
[article]
2018
biorxiv/medrxiv
pre-print
Preserved Fulltext
We have developed a Vec2SPARQL, which is a general framework for integrating structured data and their vector space representations. ...
For example, SPARQL endpoints make your data interoperable and available to the world. SPARQL queries can be executed across multiple endpoints. ...
The copyright holder for this preprint (which . http://dx.doi.org/10.1101/463778 doi: bioRxiv preprint first posted online Nov. 7, 2018; Vec2SPARQL: integrating SPARQL queries and knowledge graph embeddings ...
doi:10.1101/463778
fatcat:x3qi6swk3jedhevqdpza7cayq4
Vec2SPARQL: integrating SPARQL queries and knowledge graph embeddings
2018
Figshare
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
We have developed a Vec2SPARQL, which is a general frame-work for integrating structured data and their vector space representations.Vec2SPARQL allows jointly querying vector functions such as computing ...
SPARQL queries can be executed across multi-ple endpoints. ...
We can use Vec2SPARQL to perform queries of a knowledge graph of mouse genes, diseases and phenotypes and incorporate Vec2SPARQL similarity functions. ...
doi:10.6084/m9.figshare.7356416.v2
fatcat:iqvn3jbotzhc3ne4wfchrqfh4q
vec2sparql.pdf
[article]
2018
Figshare
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
SPARQL queries can be executed acrossmultiple endpoints.We have developed a Vec2SPARQL, which is a general framework forintegrating structured data and their vector space representations.Vec2SPARQL allows ...
jointly querying vector functions such as computingsimilarities (cosine, correlations) or classifications with machinelearning models within a single SPARQL query. ...
feature vectors into knowledge-graphs
7 / 20
SPARQL
querying structured data
enables data sharing and integration
8 / 20
Vec2SPARQL
9 / 20
Vec2SPARQL
Vec2SPARQL provides a set of functions ...
doi:10.6084/m9.figshare.7423673.v1
fatcat:oazrqudbznfvlj2uusc2ob432q
Predicting Gene Functions and Phenotypes by combining Deep Learning and Ontologies
2020
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
improved systems for neural-symbolic integration. ...
We developed and expanded novel methods for representation learning, predicting protein functions and their loss of function phenotypes. ...
Ethics approval and consent to participate Not applicable. ...
doi:10.25781/kaust-13x08
fatcat:q7ax747vebaphb5ybowvxcofna