Alexandria - PowerPoint PPT Presentation

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Alexandria

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... New York | patterns | preferred orientation | rock mechanics | spallations | stress | structural analysis | surveys | televiewers | United States ... – PowerPoint PPT presentation

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Title: Alexandria


1
Alexandria Digital Library Project
University of California, Santa Barbara
http//www.alexandria.ucsb.edu/
2
Textual- Geospatial Integration Project
Aerial photos
Maps
NSF National Science Digital Library
Project 2001-2003
3
Project Goals
  • Extend NSDL infrastructure by enabling
  • geographic queries
  • for text and non-text items across heterogeneous
    digital libraries
  • geographic referencing
  • of arbitrary texts without explicit geographic
    cataloging

4
Participants
  • University of California,Santa Barbara
  • James Frew, PI
  • Terence Smith
  • Michael Bueno
  • Linda Hill
  • Information Retrieval Lab, Illinois Institute of
    Technology
  • Ophir Frieder
  • David Grossman
  • Eric Jensen

The American Geological Institute (AGI) has
permitted us to use a set of their GeoRef records
for system training.
5
Geospatially-
  • Whats here?
  • Find library objects associated with a given
    location
  • Place name(s)
  • Footprint (geographic extent)
  • Wheres this?
  • Find the location(s) associated with a given
    library object

6
Augmented Search
  • Examples Queries from TREC-9
  • Find documents that contain residential real
    estate listings within New Jersey.
  • Find reports on automobile traffic in the
    Washington, DC metropolitan area.
  • What forms of entertainment are available in
    Newport Beach, California?

7
The stages
lookup in gazetteer
  • gazetteer entries
  • names
  • footprints

Oral histories
  • georeferenced facts
  • placenames
  • IN
  • ENVIRONS
  • PIECE OF
  • feature types

spatial analysis
identify best footprint
geo-parsing
8
The evaluation
9
Example Text
  • title Stress-induced borehole elongation a
    comparison between the four-arm dipmeter and the
    borehole televiewer in the Auburn geothermal well
  • keys applications Auburn borehole breakouts
    boreholes caliper logging Cayuga County New
    York deformation dipmeter logging
    elongation field studies fractures
    geophysical surveys instruments New York
    patterns preferred orientation rock mechanics
    spallations stress structural analysis
    surveys televiewers United States
    well-logging
  • abstract The nature and origin of borehole
    elongation recorded by the four-arm dipmeter
    calipers is studied utilizing information
    obtained from hydraulic fracturing stress
    measurements and borehole televiewer data taken
    in a well located in Auburn, New York. A
    preferred orientation N10 degrees W-S10 degrees
    E, or -10 degrees and a less prominant E-W
    orientation of borehole elongation, was observed
    on two runs of the dipmeter. Comparisons of
    borehole geometry determined using the televiewer
    and the dipmeter show that both tools give the
    same orientation of borehole elongation provided
    that the zone of elongation is longer than 30 cm.
    Comparisons of dipmeter caliper data with
    orientation of in situ stress and natural
    fractures, obtained from hydrofracturing tests
    and televiewer data show that the N10 degrees
    W-S10 degrees E borehole elongations (1) are
    axisymmetric, (2) are aligned with the minimum
    horizontal stress S (sub h) and (3) are not
    associated with natural fractures intersecting
    the well. These elongations are interpreted as
    stress-induced well bore breakouts. The E-W
    elongation direction is characterized by an
    assymmetric borehole cross section in thinly
    bedded rocks and is not caused by breakouts. This
    assymmetric geometry can be discriminated from
    breakouts using the oriented electric
    measurements provided by the dipmeter. This study
    demonstrates that the dipmeter can be used to
    determine the orientation of S (sub h) confirming
    the results of earlier less detailed studies, and
    provides a firm basis for mapping regional stress
    patterns using existing dipmeter data.--Modified
    journal abstract
  • GeoRef bibliographic record from the TGI test set
    of 7523 records

10
Manual Analysis
11
Geoparsing
fact (name?, type?, footprint?,
related-fact?, certainty, importance)
blue valid fact green partially valid
fact red invalid fact
  • Geoparsing scoring
  • valid fact 1
  • partially valid fact 0.25
  • invalid fact 0
  • Geoparsing performance
  • parser recall 4.25/6 0.71
  • parser precision 4.25/8 0.53

12
Gazlookup
  • operator equals (exact match)
  • auburn .. 37 entries
  • new york .. 18 entries
  • united states .. 1 entry
  • cayuga county .. 1 entry
  • auburn new .. 0
  • county new .. 0
  • york .. 50 entries
  • TOTAL 105
  • Gazlookup performance
  • lookup recall 3/4 0.75
  • lookup precision 3/105 0.03

13
Scatter of points
Scatter of 105 points from equals Gazlookup
Baseline clustering
Clustered points (67) in the US and Canada
14
Derived footprint
GeoRef footprint
Derived footprint from points
Very low spatial similarity between TGI box and
reference box from GeoRef
Footprint for equals lookup data and simple
clustering, compared to GeoRef footprint
15
Statistics redux
  • Based on comparison of automated processes to
    manual analysis and GeoRef box for one sample
    record
  • Geoparsing
  • Recall .. 0.71
  • Precision . 0.53
  • Gazlookup
  • Recall .. 0.75
  • Precision . 0.03
  • TBI bounding box
  • Recall .. 0.75
  • Precision ... 0.05
  • Similarity to reference .. 0

16
Next steps
  • Set new conditions
  • Find settings that give good results for 10 test
    records
  • Run 7,524 GeoRef test records through TGI
  • Calculate similarity of TGI boxes to GeoRef boxes
  • Choose 10 new test records for manual analysis
    from best worst results
  • Reset conditions
  • Repeat
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