Microsoft Academic Search
E407020
Microsoft Academic Search was a free academic search engine and research tool developed by Microsoft that indexed scholarly publications and provided citation analysis and visualization features.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Microsoft Academic | 1 |
| Microsoft Academic Search canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4021340 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Microsoft Academic Search Context triple: [Google Scholar, competesWith, Microsoft Academic Search]
-
A.
Semantic Scholar
Semantic Scholar is an AI-powered academic search engine that helps researchers discover and understand scientific literature more efficiently.
-
B.
DBLP
DBLP is a comprehensive computer science bibliography database that indexes research papers, conference proceedings, and journals in the field of computing.
-
C.
CiteSeerX
CiteSeerX is a public digital library and search engine that focuses on indexing and providing access to scientific and academic research papers, particularly in computer and information science.
-
D.
Google Scholar
Google Scholar is a freely accessible academic search engine that indexes scholarly literature across many disciplines and formats, helping researchers find articles, theses, books, conference papers, and more.
-
E.
Publons
Publons is an online platform that helps researchers track, verify, and showcase their peer review and editorial contributions for academic journals.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Microsoft Academic Search Target entity description: Microsoft Academic Search was a free academic search engine and research tool developed by Microsoft that indexed scholarly publications and provided citation analysis and visualization features.
-
A.
Semantic Scholar
Semantic Scholar is an AI-powered academic search engine that helps researchers discover and understand scientific literature more efficiently.
-
B.
DBLP
DBLP is a comprehensive computer science bibliography database that indexes research papers, conference proceedings, and journals in the field of computing.
-
C.
CiteSeerX
CiteSeerX is a public digital library and search engine that focuses on indexing and providing access to scientific and academic research papers, particularly in computer and information science.
-
D.
Google Scholar
Google Scholar is a freely accessible academic search engine that indexes scholarly literature across many disciplines and formats, helping researchers find articles, theses, books, conference papers, and more.
-
E.
Publons
Publons is an online platform that helps researchers track, verify, and showcase their peer review and editorial contributions for academic journals.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
academic search engine
ⓘ
bibliographic database ⓘ |
| accessMode |
REST API
ⓘ
web interface ⓘ |
| availableIn | English ⓘ |
| competitor |
Google Scholar
ⓘ
Scopus ⓘ Web of Science ⓘ |
| cost | free to use ⓘ |
| dataSource |
bibliographic databases
ⓘ
publisher feeds ⓘ web crawling ⓘ |
| dataType |
author affiliation data
ⓘ
bibliographic metadata ⓘ citation data ⓘ venue information ⓘ |
| developer | Microsoft ⓘ |
| discontinuationYear | 2014 ⓘ |
| discontinued | true ⓘ |
| feature |
API access
ⓘ
advanced search filters ⓘ author profiles ⓘ citation analysis ⓘ co-author network visualization ⓘ co-citation analysis ⓘ conference profiles ⓘ h-index calculation ⓘ institution profiles ⓘ journal profiles ⓘ topic trend analysis ⓘ visualization tools ⓘ |
| fieldCovered |
biology
ⓘ
computer science ⓘ engineering ⓘ medicine ⓘ multidisciplinary research ⓘ physics ⓘ social sciences ⓘ |
| genre |
citation index
ⓘ
research tool ⓘ scholarly search ⓘ |
| launchYear | 2009 ⓘ |
| license | proprietary software ⓘ |
| mainSubject |
academic publications
ⓘ
scientific literature ⓘ |
| operatedBy | Microsoft Research ⓘ |
| provider | Microsoft ⓘ |
| replacedBy |
Microsoft Academic
ⓘ
linked to:
Microsoft Academic Search
|
| status | defunct service ⓘ |
| websiteType | search engine ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Microsoft Academic Search Description of subject: Microsoft Academic Search was a free academic search engine and research tool developed by Microsoft that indexed scholarly publications and provided citation analysis and visualization features.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Microsoft Academic Search