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...regel-to-create-knowledge-graphs-subsets-described-by-non-recursive-shape-expressions.pdf
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--- | ||
import type { CollectionEntry } from "astro:content"; | ||
interface Props { | ||
publication: CollectionEntry<"publications">; | ||
} | ||
const { publication } = Astro.props; | ||
const { data } = publication; | ||
const { title, authors, date, doi, book, conference, featured, path } = data; | ||
export const prerender = true; | ||
--- | ||
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<li> | ||
<p> | ||
{title}, | ||
{authors.map((author) => `${author}, `)} | ||
In <span>{book}</span>, | ||
{conference}, | ||
{date} | ||
</p> | ||
<a href={doi}>DOI</a> | ||
<a href={path}>PDF</a> | ||
</li> |
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--- | ||
import Publication from "../common/Publication.astro"; | ||
const { publications } = Astro.props; | ||
--- | ||
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<ul class="flex flex-col justify-center"> | ||
{publications.map((publication) => <Publication publication={publication} />)} | ||
</ul> |
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...create-knowledge-graphs-subsets-described-by-non-recursive-shape-expressions.md
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title: Using Pregel to Create Knowledge Graphs Subsets Described by Non-recursive Shape Expressions | ||
authors: | ||
- Ángel Iglesias Préstamo | ||
- Jose Emilio Labra Gayo | ||
date: October 2023 | ||
book: Knowledge Graphs and Semantic Web | ||
conference: Knowledge Graph and Semantic Web Conference | ||
featured: true | ||
path: /public/pdf/using-pregel-to-create-knowledge-graphs-subsets-described-by-non-recursive-shape-expressions.pdf | ||
doi: https://link.springer.com/chapter/10.1007/978-3-031-47745-4_10 | ||
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# Using Pregel to Create Knowledge Graphs Subsets Described by Non-recursive Shape Expressions | ||
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Knowledge Graphs have been successfully adopted in recent years, existing general-purpose ones, like Wikidata, as well as domain-specific ones, like UniProt. Their increasing size poses new challenges to their practical usage. As an example, Wikidata has been growing the size of its contents and their data since its inception making it difficult to download and process its data. Although the structure of Wikidata items is flexible, it tends to be heterogeneous: the shape of an entity representing a human is distinct from that of a mountain. Recently, Wikidata adopted Entity Schemas to facilitate the definition of different schemas using Shape Expressions, a language that can be used to describe and validate RDF data. In this paper, we present an approach to obtain subsets of knowledge graphs based on Shape Expressions that use an implementation of the Pregel algorithm implemented in Rust. We have applied our approach to obtain subsets of Wikidata and UniProt and present some of these experiments’ results. |
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