Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: The Effects of Different JSON Representations on Querying Knowledge
  Graphs   Knowledge Graphs (KGs) have emerged as the de-facto standard for modeling and
querying datasets with a graph-like structure in the Semantic Web domain. Our
focus is on the performance challenges associated with querying KGs. We
developed three informationally equivalent JSON-based representations for KGs,
namely, Subject-based Name/Value (JSON-SNV), Documents of Triples (JSON-DT),
and Chain-based Name/Value (JSON-CNV). We analyzed the effects of these
representations on query performance by storing them on two prominent
document-based Data Management Systems (DMSs), namely, MongoDB and Couchbase
and executing a set of benchmark queries over them. We also compared the
execution times with row-store Virtuoso, column-store Virtuoso, and
\mbox{Blazegraph} as three major DMSs with different architectures (aka,
RDF-stores). Our results indicate that the representation type has a
significant performance impact on query execution. For instance, the JSON-SNV
outperforms others by nearly one order of magnitude to execute subject-subject
join queries. This and the other results presented in this paper can assist in
more accurate benchmarking of the emerging DMSs.

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The categories of this paper are: math-ph
9
The categories of this paper are: nlin
7
The categories of this paper are: hep-th
10
The categories of this paper are: q-bio
23
The categories of this paper are: solv-int
25
The categories of this paper are: patt-sol
4
The categories of this paper are: cond-mat
26
The categories of this paper are: bayes-an
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The categories of this paper are: eess
2
The categories of this paper are: math
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The categories of this paper are: alg-geom
0
The categories of this paper are: hep-ph
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The categories of this paper are: nucl-th
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The categories of this paper are: nucl-ex
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The categories of this paper are: plasm-ph
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The categories of this paper are: dg-ga