logging in or signing up frew BAWare Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINTLite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 39 Category: News & Reports.. License: All Rights Reserved Like it (0) Dislike it (0) Added: October 03, 2007 This Presentation is Public Favorites: 0 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript Textual-Geospatial Integration Project: Textual-Geospatial Integration Project JAMES FREW University of California, Santa BarbaraGeospatially-Augmented Search: Geospatially-Augmented Search What’s here? Find library objects associated with a given location: Place name(s) “Footprint” (geographic extent) Where’s this? Find the location(s) associated with a given library objectExamples (from TREC-9): Examples (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?Why Is GAS® Difficult?: Why Is GAS® Difficult? Few library objects have explicit locations Assigned reliably Identified in object’s metadata Many objects (especially text documents) have implicit locations Present in, or inferable from, object’s content Not necessarily identified as locations“Where’s This” Service: “Where’s This” Service PARSE LOOKUP ANALYZE EVALUATE text document type thesaurus gazetteer potential names, types, coordinates gazetteer entries (known places) ranked footprints and placenames “best” name(s) composite footprintGeo-parsing: Geo-parsing Extract “geographic facts” from text Characterize by Potential place component name, type, footprint Related fact (with preposition) “in …”, “northeast of …”, etc. Frequency Importance ContextGeo-parsing Example (1/2): Geo-parsing Example (1/2) (California,,,,1,K) (Callahan,,,(in,California),1,K) (Callahan-Yreka,,,(area of,),1,T) (Early Cambrian,,,,1,B) (Klamath Mountains,,,(eastern,),1,T) (Klamath Mountains,,,(within,),1,B) (Klamath Mountains,,,,1,K) (Northern California,,,,1,T) (Ordovician,,,,1,B) (Ordovician,,,,1,K) (Paleozoic,,,(in,California),1,B) (Paleozoic,,,,1,K)Geo-parsing Example (2/2): Geo-parsing Example (2/2) (Silurian,,,,1,K) (Siskiyou County,,,(in,California),1,K) (Skookum Gulch,,,,1,K) (Skookum Gulch,,,,1,T) (Skookum Gulch,,,,2,B) (United States,,,,1,K) (Yreka,,,(in,California),1,K) (,fault,,,2,B) (,rocks,,,6,B) (,,N410000N420000W1220000W1230000,,1,C) (,,,(in,North America),1,B) Lookup Example: Feature Type: Lookup Example: Feature Type Fault: partial match: fault zones Rocks: use: natural rock formationsLookup Example: Gazetteer: Lookup Example: Gazetteer Place Name exact partial Skookum Gulch 1 0 Klamath Mountains 1 0 Northern California 1 0 California 1 492 Callahan* 1 1 Silurian 0 5 Siskiyou County* 1 14 United States 1 273 Yreka* 1 12 North America 0 8 *within footprint of CaliforniaAnalysis Criteria: Analysis Criteria Placement in document e.g. keywords, title > body Frequency in document Exact match in gazetteer Accuracy of gazetteer footprint e.g. points < bounding boxes Scale of gazetteer footprint Size of focus area / size of footprintAnalysis Example: Results: Analysis Example: Results High confidence Callahan in California Yreka in California Skookum Gulch Klamath Mountains (eastern) Siskiyou County Low confidence Northern California United States North AmericaEvaluation Example: Evaluation Example Skookum Gluch Klamath Mountains California Callahan in California Siskiyou County in California United States Yreka in California Additional placenames Shasta Butte City Yreka City Thompson's Dry Diggings“What’s Here” Service: “What’s Here” Service Gazetteer Query Expansion Example Query: Bodies of Water near Chicago Expansion Terms: Lake Michigan, Chicago RiverManual Relevance Feedback: Manual Relevance Feedback Gazetteer AIRE Query Parser User Interface Place Names “Chicago” Spatial Synonyms “Chicago, IL” “Chicago River” QueryAutomatic Relevance Feedback: Automatic Relevance Feedback Gazetteer AIRE Document Ranker RF System Place Names, Surrounding Type Terms “Bodies of Water” Spatial Query Results “Chicago River, Lake Michigan” Expanded Query“What’s Here” Components: “What’s Here” Components Place names footprints Requires: place name ranking scheme Chicago, IL > Chicago tectonic plate in Brazil Type terms classes Requires: class thesaurus API “Bodies of Water” “Water Bodies” 3. Gazetteer spatial synonyms Requires: gazetteer API; results ranking “Bodies of Water near Chicago” set of gazetteer queriesThe Light at the End of the Tunnel: The Light at the End of the Tunnel You submit: a document You get: a place Best Also-rans Alternatives What you do with this is your businessBrought To You By: Brought To You By UCSB Linda Hill Greg Janée Dave Valentine Satoshi Ikeda (Japan Patent Office) IIT Steven Beitzel Ophir Frieder David Grossman Eric Jensen Vasif Shaikh You do not have the permission to view this presentation. In order to view it, please contact the author of the presentation.
frew BAWare Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINTLite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 39 Category: News & Reports.. License: All Rights Reserved Like it (0) Dislike it (0) Added: October 03, 2007 This Presentation is Public Favorites: 0 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript Textual-Geospatial Integration Project: Textual-Geospatial Integration Project JAMES FREW University of California, Santa BarbaraGeospatially-Augmented Search: Geospatially-Augmented Search What’s here? Find library objects associated with a given location: Place name(s) “Footprint” (geographic extent) Where’s this? Find the location(s) associated with a given library objectExamples (from TREC-9): Examples (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?Why Is GAS® Difficult?: Why Is GAS® Difficult? Few library objects have explicit locations Assigned reliably Identified in object’s metadata Many objects (especially text documents) have implicit locations Present in, or inferable from, object’s content Not necessarily identified as locations“Where’s This” Service: “Where’s This” Service PARSE LOOKUP ANALYZE EVALUATE text document type thesaurus gazetteer potential names, types, coordinates gazetteer entries (known places) ranked footprints and placenames “best” name(s) composite footprintGeo-parsing: Geo-parsing Extract “geographic facts” from text Characterize by Potential place component name, type, footprint Related fact (with preposition) “in …”, “northeast of …”, etc. Frequency Importance ContextGeo-parsing Example (1/2): Geo-parsing Example (1/2) (California,,,,1,K) (Callahan,,,(in,California),1,K) (Callahan-Yreka,,,(area of,),1,T) (Early Cambrian,,,,1,B) (Klamath Mountains,,,(eastern,),1,T) (Klamath Mountains,,,(within,),1,B) (Klamath Mountains,,,,1,K) (Northern California,,,,1,T) (Ordovician,,,,1,B) (Ordovician,,,,1,K) (Paleozoic,,,(in,California),1,B) (Paleozoic,,,,1,K)Geo-parsing Example (2/2): Geo-parsing Example (2/2) (Silurian,,,,1,K) (Siskiyou County,,,(in,California),1,K) (Skookum Gulch,,,,1,K) (Skookum Gulch,,,,1,T) (Skookum Gulch,,,,2,B) (United States,,,,1,K) (Yreka,,,(in,California),1,K) (,fault,,,2,B) (,rocks,,,6,B) (,,N410000N420000W1220000W1230000,,1,C) (,,,(in,North America),1,B) Lookup Example: Feature Type: Lookup Example: Feature Type Fault: partial match: fault zones Rocks: use: natural rock formationsLookup Example: Gazetteer: Lookup Example: Gazetteer Place Name exact partial Skookum Gulch 1 0 Klamath Mountains 1 0 Northern California 1 0 California 1 492 Callahan* 1 1 Silurian 0 5 Siskiyou County* 1 14 United States 1 273 Yreka* 1 12 North America 0 8 *within footprint of CaliforniaAnalysis Criteria: Analysis Criteria Placement in document e.g. keywords, title > body Frequency in document Exact match in gazetteer Accuracy of gazetteer footprint e.g. points < bounding boxes Scale of gazetteer footprint Size of focus area / size of footprintAnalysis Example: Results: Analysis Example: Results High confidence Callahan in California Yreka in California Skookum Gulch Klamath Mountains (eastern) Siskiyou County Low confidence Northern California United States North AmericaEvaluation Example: Evaluation Example Skookum Gluch Klamath Mountains California Callahan in California Siskiyou County in California United States Yreka in California Additional placenames Shasta Butte City Yreka City Thompson's Dry Diggings“What’s Here” Service: “What’s Here” Service Gazetteer Query Expansion Example Query: Bodies of Water near Chicago Expansion Terms: Lake Michigan, Chicago RiverManual Relevance Feedback: Manual Relevance Feedback Gazetteer AIRE Query Parser User Interface Place Names “Chicago” Spatial Synonyms “Chicago, IL” “Chicago River” QueryAutomatic Relevance Feedback: Automatic Relevance Feedback Gazetteer AIRE Document Ranker RF System Place Names, Surrounding Type Terms “Bodies of Water” Spatial Query Results “Chicago River, Lake Michigan” Expanded Query“What’s Here” Components: “What’s Here” Components Place names footprints Requires: place name ranking scheme Chicago, IL > Chicago tectonic plate in Brazil Type terms classes Requires: class thesaurus API “Bodies of Water” “Water Bodies” 3. Gazetteer spatial synonyms Requires: gazetteer API; results ranking “Bodies of Water near Chicago” set of gazetteer queriesThe Light at the End of the Tunnel: The Light at the End of the Tunnel You submit: a document You get: a place Best Also-rans Alternatives What you do with this is your businessBrought To You By: Brought To You By UCSB Linda Hill Greg Janée Dave Valentine Satoshi Ikeda (Japan Patent Office) IIT Steven Beitzel Ophir Frieder David Grossman Eric Jensen Vasif Shaikh