future_of_searching_for_scholarly_literature-semtech-2009
TRANSCRIPT
Erik Nemeth J. Paul Getty Trust © 2009 1
The Future of Searching for Scholarly Literature
Discipline-Specific Research Databases in Web 2.0 and the Semantic Web
or
Leveraging the “Prescience of Artists and the Art of Science”
Cross-Disciplinary Research in Neuroaesthetics
Erik Nemeth
Getty Research Institute, Los Angeles, California
Semantic Technology Conference 16 June 2009
San Jose, California
Erik Nemeth J. Paul Getty Trust © 2009 2
Leveraging the “Prescience of Artists and the Art of Science”
Cross-Disciplinary Research in Neuroaesthetics
visual information as incident on the
retina
2D 3D
discrete processing of color, form, and motion
Renaissance
Impressionism
Modernism
Erik Nemeth J. Paul Getty Trust © 2009 3
Outline – Modern Development of Neuroaesthetics
quantitative-qualitative divide
specialized metadata vs.
generalized full-text searching
neuroaesthetics
ontology
metadata
discipline-specific research databases
historical perspective
art historyvision science
humanitiessciences thesaurus visionartists
Erik Nemeth J. Paul Getty Trust © 2009 4
Prescience of Artists
and
the Art of Science
Outline – Preexistence of “Neuroaesthetics”
quantitative-qualitative divide
specialized metadata vs.
generalized full-text searching
neuroaesthetics
metadata
discipline-specific research databases
historical perspective
thesaurus
Erik Nemeth J. Paul Getty Trust © 2009 5
increasing divergence of the sciences
Historical basis for reestablishing an art-science grammar visual aesthetics
Sciences
Art
s
Modernism
perspective Leon Battista Alberti
Natural Philosophers
(pre- Socratics)
“capturing the actual visual sensation” Claude Monet
“eliminated color in his mobiles” Alexander Calder
Impressionism
Renaissance
mid-1500s
1400s
mid-1800s
2100s
mid-1800s early 1900s mid-1900s
early 1900s
chiaroscuro Dutch Masters
1600s Baroque
quantitative analysis
grammar for communicating across the art-science divide
Scientific Revolution
Logical PositivismPositivism
Psychology perception
Neuroscience response patterns
qualitative analysis
Art History research databases Vision Science
research databases
Erik Nemeth J. Paul Getty Trust © 2009 6
Art History Discipline-Specific Knowledge Base
2006 demand for
specialized metadata
Survey Results facilitate interdisciplinarity
selected monographs
journal lists
2008 demand for
specialized databases
What is it?
Why create it?
filtered material
increases relevance of search results
customized abstracting and indexing
thesaurusspecialized metadata
Actively Leverage Technology
Draw on user interaction to create content.
maintain an editorial role
search interface
enables fosters
Forge connections across research databases in the sciences.
Web 2.0 Semantic Web
Erik Nemeth J. Paul Getty Trust © 2009 7
World Wide Web(“Web 1.0”)
Web 2.0 and the Semantic Web
Semantic Web
Web 2.0
Users
open architecture
open access
Internet
automated linking ontology
machine readable
open collaboration
Erik Nemeth J. Paul Getty Trust © 2009 8
Participation of Scholars in the Evolving Infrastructure
searching for scholarly literature
publishing findings
“Black Box”
How are publications selected?
What is the indexing scheme?
Who is creating the metadata and managing the thesaurus?
editorial oversight
discipline-specific research database
publishing findings
creating metadata
submitting citations
editorial policy
editorial staff
“tagging”
searching for scholarly literature
thesaurus
ontology
“Web 1.0” and prior
Web 2.0
open collaboration open
access
open architecture
Erik Nemeth J. Paul Getty Trust © 2009 9
Applications in the Semantic We b to Enable Interdisciplinarity
cross-disciplinary searches for scholarly literature
cross-disciplinary correlation of datasets
metadata
ontology
raw dataneural
measurements
psychological assessments
linguists
art historians
psychologists
neuroscientists
published findings
analog / digital divide
?
published findings
discipline-specific research databases
concepts
discipline-specific research databases
concepts
metadata
literature
searchDSRDB
humanists
DSRDB
thesaurus thesaurus
perception
neural tissue
literature
artworks
life
visual world
qualitative / quantitative divide
?
concepts
theories
information
analyses
scientists
scholars scholars
search engine
Erik Nemeth J. Paul Getty Trust © 2009 10
Developing a Cross-Disciplinary Ontology
Knowledge Domains
Art History thesaurus
Neuroaesthetics ontology
Vision Science thesaurus
properties
Art History e.g. Art & Architecture Thesaurus (Getty)
Vision Science (optics, visual neuroscience, psychophysics)
e.g. http://www.liden.cc/Visionary/
explains
identifiesfunction of visiontheory
raw data
analysis
concept
correlates with
observation discovery
quantitative assessments experimental data
supports
predicts
correlates with
Erik Nemeth J. Paul Getty Trust © 2009 11
Towards an Ontology for Neuroaesthetics
What are the relationships between art history and vision science?
vision science
“qualitative” analysis
“quantitative” analysis
psychophysics
art history
visual neuroscienceconnoisseurship
art theory
artworksvisual
system
learned associations
artistic movements
artistic techniques
innate functions
Erik Nemeth J. Paul Getty Trust © 2009 12
depth perception
vision science
perspective
“qualitative” analysis
“quantitative” analysis
psychophysics
art history
vision centers
visual neurosciencekinetic artconnoisseurship
art theory
artworksvisual
system
predict
support
identify
explain
predicted
supported
identified
explained
learned associations
artistic movements
artistic techniques
innate functions
Piero della Francesca Flagellation of Christ late 1450s
psychophysics mid 1800s
linear size and perspectives previous familiarity
interposition
Artists showed prescience in understanding the visual system.
Erik Nemeth J. Paul Getty Trust © 2009 13
Towards an Ontology for Neuroaesthetics
depth perception
vision science
perspective
“qualitative” analysis
“quantitative” analysis
psychophysics
art history
vision centers
visual neurosciencekinetic artconnoisseurship
art theory
artworksvisual
system
predict
support
identify
explain
predicted
supported
identified
explained
learned associations
artistic movements
Marcel Duchamp Nude Descending a Staircase, No. 2 c. 1910
Newsome, Movshon, Britten motion selective neurons in monkeys
1990s
fMRI shows selective response to motion in the Middle Temporal area (V5)
artistic techniques
innate functions
Erik Nemeth J. Paul Getty Trust © 2009 14
Eventually, vision science will influence artists.
depth perception
vision science
perspective
“qualitative” analysis
“quantitative” analysis
psychophysics
art history
vision centers
visual neurosciencekinetic artconnoisseurship
art theory
discoveriesanticipate informartworks
visual system
predict
support
identify
explain
predicted
supported
identified
explained
learned associations
artistic movements
artistic techniques
innate functions
Erik Nemeth J. Paul Getty Trust © 2009 15Erik Nemeth J. Paul Getty Trust © 2009 15
Towards an Ontology for Cultural Security
political science
“qualitative” assessments
“predictive” analyses
organized crime
archaeology
political violence
cultural history
excavations
intelligence analysis
cultural artifacts
international security
antiquities trafficking
source nations
religious monuments
political targets
Erik Nemeth J. Paul Getty Trust © 2009 16Erik Nemeth J. Paul Getty Trust © 2009 16
Towards an Ontology for Cultural Security
market trends
political science
archaeological discoveries
“qualitative” assessments
“predictive” analyses
organized crime
archaeology
destruction of the Bamiyan Buddhas
political violence
religious significance
cultural history
excavations
intelligence analysis
mitigatecultural artifacts
international security
influence
exploit
inform
capitalizes
influenced
exploited
informed
capitalized
antiquities trafficking
source nations
religious monuments
political targets
rediscovery of Machu Picchu and pre-Columbian Inca artifacts by Hiram Bingham in 1911
Erik Nemeth J. Paul Getty Trust © 2009 17Erik Nemeth J. Paul Getty Trust © 2009 17
Towards an Ontology for Cultural Security
market trends
political science
archaeological discoveries
“qualitative” assessments
“predictive” analyses
organized crime
archaeology
destruction of the Bamiyan Buddhas
political violence
religious significance
cultural history
excavations
intelligence analysis
mitigatecultural artifacts
international security
influence
exploit
inform
capitalizes
influenced
exploited
informed
capitalized
antiquities trafficking
source nations
religious monuments
political targets
destruction of the giant Buddhas of the Bamiyan Valley (2001)
Erik Nemeth J. Paul Getty Trust © 2009 18Erik Nemeth J. Paul Getty Trust © 2009 18
Towards an Ontology for Cultural Security
market trends
political science
archaeological discoveries
“qualitative” assessments
“predictive” analyses
organized crime
archaeology
destruction of the Bamiyan Buddhas
political violence
religious significance
cultural history
excavations
intelligence analysis
mitigatecultural artifacts
international security
influence
exploit
inform
capitalizes
influenced
exploited
informed
capitalized
antiquities trafficking
source nations
religious monuments
political targets
Erik Nemeth J. Paul Getty Trust © 2009 19
time
valu
e to
sch
olar
ly r
esea
rch
The role DSRDBs will become less overt but will continue to add value through Web 2.0 and the Semantic Web.
Conclusion – Push vs. Pull
Will technology undermine or sustain the role of DSRDBs?
Does open access to full text obviate the need for discipline-specific research databases?
Pull: automated production of full text through large-scale scanning with OCR
Push: web-enabled production environment will allow for increased coverage while editorial oversight will continue to provide specialized metadata.
Push: create ontology that link disciplines across the humanities and the sciences.
Push: knowledge bases that connect the sciences and the humanities will enable interdisciplinarity.
Pull: automatic creation of metadata through machine-assisted summarization of abstracts and indexing