Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Knowledge Graphs in the Libraries and Digital Humanities Domain   Knowledge graphs represent concepts (e.g., people, places, events) and their
semantic relationships. As a data structure, they underpin a digital
information system, support users in resource discovery and retrieval, and are
useful for navigation and visualization purposes. Within the libaries and
humanities domain, knowledge graphs are typically rooted in knowledge
organization systems, which have a century-old tradition and have undergone
their digital transformation with the advent of the Web and Linked Data. Being
exposed to the Web, metadata and concept definitions are now forming an
interconnected and decentralized global knowledge network that can be curated
and enriched by community-driven editorial processes. In the future, knowledge
graphs could be vehicles for formalizing and connecting findings and insights
derived from the analysis of possibly large-scale corpora in the libraries and
digital humanities domain.

19
The categories of this paper are: eess
2
The categories of this paper are: math
24
The categories of this paper are: dg-ga
18
The categories of this paper are: econ
29
The categories of this paper are: funct-an
0
The categories of this paper are: hep-ph
27
The categories of this paper are: comp-gas
26
The categories of this paper are: bayes-an
15
The categories of this paper are: nucl-ex
36
The categories of this paper are: cmp-lg
31
The categories of this paper are: ao-sci
37
The categories of this paper are: supr-con
30
The categories of this paper are: q-alg
34
The categories of this paper are: chem-ph
21
The categories of this paper are: adap-org
35
The categories of this paper are: mtrl-th