CiteSeerX
E174900
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.
All labels observed (3)
| Label | Occurrences |
|---|---|
| CiteSeer | 2 |
| CiteSeer digital library | 1 |
| CiteSeerX canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1500638 — 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: CiteSeerX Context triple: [DBLP, integratedWith, CiteSeerX]
-
A.
DBLP
DBLP is a comprehensive computer science bibliography database that indexes research papers, conference proceedings, and journals in the field of computing.
-
B.
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.
-
C.
ACM Digital Library
The ACM Digital Library is a comprehensive online research repository providing access to the Association for Computing Machinery’s journals, conference proceedings, technical magazines, and other computing-related publications.
-
D.
ACM Guide to Computing Literature
The ACM Guide to Computing Literature is a comprehensive bibliographic database that indexes and abstracts worldwide research publications in computer science and related fields.
-
E.
IEEE Xplore Digital Library
IEEE Xplore Digital Library is an online research platform providing access to a vast collection of scientific and technical literature in electrical engineering, computer science, and related fields.
- 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: CiteSeerX Target entity description: 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.
-
A.
DBLP
DBLP is a comprehensive computer science bibliography database that indexes research papers, conference proceedings, and journals in the field of computing.
-
B.
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.
-
C.
ACM Digital Library
The ACM Digital Library is a comprehensive online research repository providing access to the Association for Computing Machinery’s journals, conference proceedings, technical magazines, and other computing-related publications.
-
D.
ACM Guide to Computing Literature
The ACM Guide to Computing Literature is a comprehensive bibliographic database that indexes and abstracts worldwide research publications in computer science and related fields.
-
E.
IEEE Xplore Digital Library
IEEE Xplore Digital Library is an online research platform providing access to a vast collection of scientific and technical literature in electrical engineering, computer science, and related fields.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
academic search engine
ⓘ
bibliographic database ⓘ digital library ⓘ |
| affiliatedWith |
College of Information Sciences and Technology
ⓘ
surface form:
College of Information Sciences and Technology at Pennsylvania State University
|
| aimsTo |
enable automatic citation indexing
ⓘ
improve access to scientific literature ⓘ support research in computer and information science ⓘ |
| countryOfOrigin |
United States of America
ⓘ
surface form:
United States
|
| field |
computer science
ⓘ
information retrieval ⓘ information science ⓘ |
| focusesOn |
academic research papers
ⓘ
computer science ⓘ information science ⓘ scientific research papers ⓘ |
| hasAccessModel | free access ⓘ |
| hasApproximatePublicationStart | 2008 ⓘ |
| hasFeature |
Open Archives Initiative Protocol for Metadata Harvesting support
ⓘ
author search ⓘ automatic citation indexing ⓘ citation analysis ⓘ document search ⓘ downloadable PDFs ⓘ |
| hasPart |
author profiles
ⓘ
citation graph ⓘ document repository ⓘ |
| isAccessibleTo | public ⓘ |
| isAccessibleVia | web interface ⓘ |
| isSuccessorOf |
CiteSeerX
self-linksurface differs
ⓘ
surface form:
CiteSeer
|
| language | English ⓘ |
| operatedBy | Pennsylvania State University ⓘ |
| predecessor |
CiteSeerX
self-linksurface differs
ⓘ
surface form:
CiteSeer digital library
|
| provides |
citation data
ⓘ
document metadata ⓘ full-text access to research papers ⓘ reference linking ⓘ |
| replaced |
CiteSeerX
self-linksurface differs
ⓘ
surface form:
CiteSeer
|
| subjectArea |
academic publishing
ⓘ
bibliometrics ⓘ scientific literature search ⓘ |
| supports |
export of citations
ⓘ
metadata harvesting ⓘ reference linking between papers ⓘ |
| uses |
automatic document parsing
ⓘ
machine learning techniques ⓘ web crawling ⓘ |
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: CiteSeerX Description of subject: 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.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
CiteSeer
this entity surface form:
CiteSeer digital library