www'philadelphiabuildings'org - PowerPoint PPT Presentation

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www'philadelphiabuildings'org

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www'philadelphiabuildings'org – PowerPoint PPT presentation

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Title: www'philadelphiabuildings'org


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Projects 216,978
Architects 20,653
Images 84,293
Institutions - 31
Hits 42,000 a day
Hits since 2000 over 11 million
www.philadelphiabuildings.org
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All Philadelphia Register Buildings
All PA State Inventory Buildings
All National Register Buildings
All HABS-PABuildings
Geographical Coverage
All 50 States
57 Countries
www.philadelphiabuildings.org
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Baxters Panoramic Business Directory, 1859
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Raes Philadelphia Pictorial Directory
Panoramic Advertiser, 1851
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D.J. Kennedy Watercolor, Historical Society of
Pennsylvania, K.1-40.1
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Greens Hotel, from Philadelphia Pa., the Book of
its Bourse, 1898, p. 67
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New Masonic Hall, Wainwright Lithograph
Collection, Library Company of Philadelphia
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Philadelphia Contributionship fire insurance
survey, number 9521
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McElroy Directory, 1857
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Optical Character Recognition Process
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Spreadsheet made from OCR Text
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Hexamer Locher Atlas, 1858, Free Library of
Philadelphia
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Archival Tiff Format with Color Control, Caption
Information and Scale
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Detail of 1858 Hexamer Locher, illustrating
georeferencing with current Philadelphia street
centerlines
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Centralized Model
Athenaeum (PAB)
CML, US Census, research projects
Arch. Drawings
Demo- graphics
Central Data and App Server(s)
Photos
GIS Maps
Scanned Maps
Athenaeum, Library Company, HSP, Phila. Dept. of
Records
Phila. Dept. of Records, City Planning, Water
Dept.
Athenaeum, Free Library
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Centralized Model
  • Data stored in one place
  • Does not meet local institutional requirements
    (thus duplicated systems)
  • Difficult to plan and scale
  • Difficult to agree on standards
  • Metadata
  • Data refreshing
  • Access control, use agreements

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Centralized Model
  • Applications run on centralized servers
  • Faster, but must be controlled in one place

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Distributed Model
Scanned Maps
GIS Maps
PACSCL
Dept. of Records
Photos
Land Use
Photos
Photo Archives
Phila. Negro
Historical Context
PAB
CML
Applications
Data
Arch. Drawings
Demo- graphics
Repositories
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Distributed Model
  • Data stored by each institution (or small group
    of institutions)
  • or in a distributed set of centralized systems
  • Can be built using existing systems, or systems
    designed for other purposes
  • Scales by institution
  • Need to agree on only basic standards
  • Metadata (Dublin Core Geographic Info)
  • Protocols for data harvesting

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Distributed Model
  • Applications run from anywhere
  • Applications can be built as needed for
    particular projects and by different groups
  • Slower (retrieving data from different sources
    takes time)
  • But needed data can be cached (like Google) to
    provide faster responses

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Data Distribution Approaches
  • Entirely map-based, GIS systems
  • Open Geospatial Consortium (OGC) Web Map Service
    (WMS)
  • Proprietary options (SDEs, ESRI, Google Earth)
  • Entirely data-based systems
  • Open Archives Initiative (OAI)Protocol for
    Metadata Harvesting (PMH)
  • XML gateways, Z39.50, and the rest

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Data Distribution Approaches
  • Map-based systems
  • Easier application development
  • Wider compatibility with existing map client
    software
  • Significant entry barriers (cost/server speed)
    for providers
  • Data-based systems
  • Application/network provides geocoding
  • Wide support by existing data server software
  • Lower entry barriers for data providers

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The Solution?
  • Mixed Network Models
  • Distributed resources, with centralized systems
    where appropriate
  • Mixed Data Distribution Approaches
  • For image-rich base maps (atlas plates, aerial
    photography, etc.) WMS
  • For data-rich collections (historical photos,
    city directories) OAI spatial temporal.

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Challenges
  • Metadata Standards Dublin Core?
  • Geospatial and Temporal Metadata
  • Map extents, feature points
  • Date and time, both instant and spanned
  • Precision, Specificity, and Uncertainty
  • 702 Chestnut St. vs. 7th Chestnut vs.
    Chestnut St. vs. Philadelphia
  • 1902 vs. c. 1900 vs. Early 20th Century

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Challenges (contd)
  • Aggregation / Correlation / Change
  • Changing place names, boundaries, addresses, and
    uncertain correlations (city directories)
  • Re-aggregating data sets (e.g., census data) to
    provide useful comparisons over time
  • User Interface
  • Providing useful interaction both to experience
    GIS experts, but also to scholars and hobbyists,
    and even tourists.

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