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Property talk:P6611

Add topic
From Wikidata
Latest comment: 7 months ago by Frlgin in topic Old an new types of topics

Documentation

Semantic Scholar topic ID
identifier for a research topic, in the Semantic Scholar database
RepresentsSemantic Scholar (Q22908627)
Associated itemSemantic Scholar (Q22908627)
Applicable "stated in" valueSemantic Scholar (Q22908627)
Has qualitynumeric identifier (Q93868746)
Data typeExternal identifier
Allowed values[1-9]\d*
ExampleWikidata (Q2013)590752
artificial intelligence (Q11660)8286
graphene (Q169917)1184
Plasmodium falciparum (Q311383)2884
Sourcehttps://www.semanticscholar.org/
Formatter URLhttps://www.semanticscholar.org/topic/$1
Tracking: usageCategory:Pages using Wikidata property P6611 (Q62311326)
See alsoSemantic Scholar paper ID (P4011), Semantic Scholar author ID (P4012), Semantic Scholar corpus ID (P8299)
Lists
Proposal discussionProposal discussion
Current uses
Total480
Main statement47198.1% of uses
Qualifier40.8% of uses
Reference51% of uses
Search for values
[create Create a translatable help page (preferably in English) for this property to be included here]
Distinct values: this property likely contains a value that is different from all other items. (Help)
Exceptions are possible as rare values may exist. Exceptions can be specified using exception to constraint (P2303).
List of violations of this constraint: Database reports/Constraint violations/P6611#Unique value, SPARQL (every item), SPARQL (by value)
Single value: this property generally contains a single value. (Help)
Exceptions are possible as rare values may exist. Exceptions can be specified using exception to constraint (P2303).
List of violations of this constraint: Database reports/Constraint violations/P6611#Single value, SPARQL
Format “[1-9]\d*: value must be formatted using this pattern (PCRE syntax). (Help)
Exceptions are possible as rare values may exist. Exceptions can be specified using exception to constraint (P2303).
List of violations of this constraint: Database reports/Constraint violations/P6611#Format, SPARQL
Conflicts with “instance of (P31): Wikimedia list article (Q13406463): this property must not be used with the listed properties and values. (Help)
Exceptions are possible as rare values may exist. Exceptions can be specified using exception to constraint (P2303).
List of violations of this constraint: Database reports/Constraint violations/P6611#Conflicts with P31, search, SPARQL
Allowed entity types are Wikibase item (Q29934200): the property may only be used on a certain entity type (Help)
Exceptions are possible as rare values may exist. Exceptions can be specified using exception to constraint (P2303).
List of violations of this constraint: Database reports/Constraint violations/P6611#Entity types
Scope is as main value (Q54828448), as reference (Q54828450): the property must be used by specified way only (Help)
Exceptions are possible as rare values may exist. Exceptions can be specified using exception to constraint (P2303).
List of violations of this constraint: Database reports/Constraint violations/P6611#Scope, SPARQL

Old an new types of topics

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The old topics seem to be referenced nowhere anymore on the site. How could you find them originally?

Instead there are new topic ids, linking to https://topics-beta.apps.semanticscholar.org/topic/‌$newTopicId


Example

Info from semanticscholar.org

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Semantic Scholar FAQ

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https://www.semanticscholar.org/faq#what-are-topic-pages

What are Topic pages? Topics are phrases in research papers that are often accompanied by citations. Topic pages aim to help scholars quickly understand a field by synthesizing concepts from several papers that mention or explain the topic with generative AI, including:

Definition of the topic Related topics Papers often cited for this topic Recent papers that mention this topic

  1. why-dont-i-see-topics-for-a-paper-im-interested-in

Why don’t I see topics for a paper I’m interested in? Currently, only topics in the Computer Science field are available. To see if a topic is available, you can directly search for it from the search bar on any Topic page.

  1. how-are-topic-pages-generated

How are Topic pages generated? We use large language models (LLMs) to extract a list of topics from the title and abstract of a paper. Subsequently, we leverage these models to generate definitions and descriptions using relevant snippets from the single most cited paper for a topic.

Semantic Scholar Product page

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https://www.semanticscholar.org/product#topics

Explore Topics with AI Topic pages aim to help you explore topics of interest by collecting AI-generated definitions, papers often cited for the topic, recent papers, and related topics.

In the Topics section on each paper page, you can find topics relevant to the paper and navigate to the topic pages. You can also directly search for a topic in the search bar. Currently, only topics in the Computer Science field are available.

Topics Examples SPECTER: Document-level Representation Learning using Citation-informed Transformers TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension Longformer: The Long-Document Transformer