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- Wikipedia articles can be paired with a relevant knowledge graph (KG) to create a dataset that enables research in conditional text generation, graph generation, and graph representation learning123. These paired datasets allow building models that can generate long text conditioned on a graph structured overview of relevant topics, or extract/generate graphs from a text description13.Learn more:✕This summary was generated using AI based on multiple online sources. To view the original source information, use the "Learn more" links.We present a new dataset of Wikipedia text arti-cles each paired with a relevant knowledge graph (KG), which enables building models that can gen-erate long text conditioned on a graph structured overview of relevant topics, and also models that extract or generate graphs from a text description.aclanthology.org/2021.textgraphs-1.7.pdfUsing 30,000 hand-graded Wikipedia articles and NLP to predict the quality of Wikipedia articles and create a knowledge graph that identifies both articles and topics in need of editorial and epistemological attention.github.com/Beige-Coffee/Wikipedia-Knowledge-Gr…WikiGraphs is a dataset of Wikipedia articles each paired with a knowledge graph, to facilitate the research in conditional text generation, graph generation and graph representation learning.paperswithcode.com/dataset/wikigraphs
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As Search Fragments, Brands Must Develop Knowledge Graphs
5 days ago — Implementing a knowledge graph involves identifying key entities relevant to your business, defining their attributes and relationships, and managing this structured data in a …
An ontology-based knowledge graph for representing ... - Nature
Aug 22, 2024 — In this paper we describe RNA-KG, the first ontology-based KG for representing coding and non-coding RNA molecules and their interactions with other biomolecular data as …
Knowledge graph - Wikipedia
In knowledge representation and reasoning, a knowledge graph is a knowledge base that uses a graph-structured data model or topology to represent and operate on data. Knowledge graphs are often used to store interlinked descriptions of entities – objects, events, situations or abstract concepts – while also encoding the free-form semantics or relationships underlying these entities.
Wikipedia · Text under CC-BY-SA license- Estimated Reading Time: 7 mins
Google Knowledge Graph - Wikipedia
The Google Knowledge Graph is a knowledge base from which Google serves relevant information in an infobox beside its search results. This allows the user to see the answer in a glance, as an instant answer. The data is generated automatically from a variety of sources, covering places, people, businesses, and more.
Wikipedia · Text under CC-BY-SA license- Estimated Reading Time: 6 mins
Generating Knowledge Graphs with Wikipedia | by Jye Sawtell …
Jan 1, 2023 — Clearly, constructing and visualising knowledge graphs can be an effective approach to many fields. In this article, we describe a process to generate new knowledge …
Knowledge graph embedding - Wikipedia
In representation learning, knowledge graph embedding (KGE), also referred to as knowledge representation learning (KRL), or multi-relation learning, [1] is a machine learning task of …
KBpedia - Open-source Integrated Knowledge Structure
KBpedia is an open-source knowledge graph that combines seven leading public knowledge bases into an integrated and computable structure. KBpedia has 98% coverage of Wikidata and nearly complete coverage of Wikipedia.
What Is a Knowledge Graph? | IBM
A knowledge graph, also known as a semantic network, represents a network of real-world entities—such as objects, events, situations or concepts—and illustrates the relationship between them. This information is usually stored in …
GitHub - nateburley/WikiKnowledgeGraphs: Knowledge Graph …
Given a list of topics, ideally Wikipedia pages, we construct and display a knowledge graph of the key entities and their connecting relationships.
Building Knowledge Graph using wiki data | by Sai …
May 12, 2023 — Wiki data is a free, open-source Knowledge graph created by the Wikimedia Foundation. It is a centralized repository for all Wikipedia and Wiki data project information. One can use Wiki data’s ...
Wikidata5m | MilaGraph
Wikidata5m is a million-scale knowledge graph dataset with aligned corpus. This dataset integrates the Wikidata knowledge graph and Wikipedia pages. Each entity in Wikidata5m is …
WikiGraphs: A Wikipedia Text - Knowledge Graph Paired Dataset
Jul 20, 2021 — WikiGraphs: A Wikipedia Text - Knowledge Graph Paired Dataset. We present a new dataset of Wikipedia articles each paired with a knowledge graph, to facilitate the …
Wikipedia Knowledge Graph for Explainable AI | SpringerLink
Dec 10, 2020 — To facilitate the advancement of XAI, we present the cycle-free Wikipedia Knowledge Graph (WKG) based on information from English Wikipedia. Each Wikipedia …
Wikidata - Wikipedia
Wikidata is a collaboratively edited multilingual knowledge graph hosted by the Wikimedia Foundation. [2] It is a common source of open data that Wikimedia projects such as Wikipedia, …
Knowledge Graph - Simple English Wikipedia, the free encyclopedia
The Knowledge Graph (also known as Knowledge Panel) is a feature in the Google search engine. A Knowledge Graph (KG) is a model in which networks and knowledge structures …
Wikinformetrics: Construction and description of an open …
Dec 20, 2022 — In this paper, we extracted and developed a full Wikipedia knowledge graph with the ambition of facilitating the future of the English Wikipedia, reducing the time and effort that …
WikiGraphs: A Wikipedia Text - Knowledge Graph Paired Dataset
4 days ago — We present a new dataset of Wikipedia articles each paired with a knowledge graph, to facilitate the research in conditional text generation, graph generation and graph …
WikiGraphs Dataset | Papers With Code
WikiGraphs is a dataset of Wikipedia articles each paired with a knowledge graph, to facilitate the research in conditional text generation, graph generation and graph representation learning.
KBpedia - How to Use the Knowledge Graph
The Knowledge Graph is the KBpedia knowledge structure, which itself combines seven public knowledge bases — Wikipedia, Wikidata, schema.org, DBpedia, GeoNames, OpenCyc, and …
An Introduction to Knowledge Graphs | SAIL Blog
May 10, 2021 — A knowledge graph is a directed labeled graph in which we have associated domain specific meanings with nodes and edges. Anything can act as a node, for example, …
knowledge graph - Wikidata
Aug 26, 2024 — concept of knowledge graph; Language Label Description Also known as; English: knowledge graph. information repository structured as a graph. concept of …
We present a new dataset of Wikipedia articles each paired with a knowledge graph, to facili-tate the research in conditional text generation, graph generation and graph representation …
Category:Knowledge graphs - Wikipedia
A knowledge graph is a knowledge base that uses a graph-structured data model. Common applications are for gathering lightly-structured associations between topic-specific knowledge …
Google’s Knowledge Graph and Knowledge Panels - The Keyword
May 20, 2020 — The information about an “entity”—a person, place or thing—in our knowledge panels comes from our Knowledge Graph, which was launched in 2012. It’s a system that …
GitHub - tsafavi/codex: CoDEx: A set of knowledge graph …
As introduced and described by our EMNLP 2020 paper CoDEx: A Comprehensive Knowledge Graph Completion Benchmark, CoDEx offers three rich knowledge graph datasets that …
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