Fingerprint The Elsevier Fingerprint Engine mines the text of the experts' scholarly documents - publication abstracts, awards, project summaries, patents, and other sources – to create an index of weighted terms which defines the text, known as a Fingerprint. By aggregating and comparing Fingerprints, the Elsevier Fingerprint Engine enables users to look beyond metadata and expose valuable connections among people, research units, publications, and ideas.
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Social Sciences
librarian
resources
student
electronics
Internet
literacy
archivist
instruction
management
librarianship
music
learning
Values
chat
Teaching
transaction
cultural heritage
staff
best practice
trend
community
university
education
experience
loan
workflow
search engine
graduate
methodology
information science
engineering
website
planning
Puerto Rico
science
evaluation
gray literature
profession
present
communication
grant
information-seeking behavior
interview
instructor
thesaurus
museum
disaster
Group
earning a doctorate
language
interdisciplinary research
Middle East
indexing
Poland
vocabulary
management counsulting
bibliography
disability
purchase
open access
newspaper
Sports
budget
information retrieval
costs
social science
veterinary medicine
interest group
coverage
history
responsibility
organization
semantics
women's studies
Law
examination
microcomputer
innovation
World War II
certification
staffing
gender studies
information system
career
new technology
classroom
acquisition
functionality
Engineering & Materials Science
Metadata
Digital libraries
Thesauri
Students
Internet
Health
Websites
Information retrieval
Semantics
XML
Information management
Testbeds
World Wide Web
Museums
Application programs
Navigation
Teaching
Automatic indexing
Online conferencing
Genes
Recommender systems