US20120268485A1 - Visualization of Query Results in Relation to a Map - Google Patents

Visualization of Query Results in Relation to a Map Download PDF

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Publication number
US20120268485A1
US20120268485A1 US13/092,609 US201113092609A US2012268485A1 US 20120268485 A1 US20120268485 A1 US 20120268485A1 US 201113092609 A US201113092609 A US 201113092609A US 2012268485 A1 US2012268485 A1 US 2012268485A1
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Prior art keywords
entities
boundary
map
interest
subset
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Abandoned
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US13/092,609
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English (en)
Inventor
Keiji Icho
Yuichi Kobayakawa
Ryota Tsukidate
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Panasonic Corp
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Panasonic Corp
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Priority to US13/092,609 priority Critical patent/US20120268485A1/en
Assigned to PANASONIC CORPORATION reassignment PANASONIC CORPORATION ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: TSUKIDATE, RYOTA, ICHO, KEIJI, KOBAYAKAWA, YUICHI
Priority to CN201280001739.3A priority patent/CN102959550B/zh
Priority to PCT/JP2012/002713 priority patent/WO2012144216A1/ja
Priority to US13/806,107 priority patent/US9183437B2/en
Priority to JP2012533822A priority patent/JP5955770B2/ja
Publication of US20120268485A1 publication Critical patent/US20120268485A1/en
Abandoned legal-status Critical Current

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/40—Document-oriented image-based pattern recognition
    • G06V30/42—Document-oriented image-based pattern recognition based on the type of document
    • G06V30/422—Technical drawings; Geographical maps
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/29—Geographical information databases

Definitions

  • the present disclosure relates to visualization of query results in relation to a map.
  • search results are in turn displayed to the user.
  • the search results will typically include a listing of the retailers that satisfy the search query along with a map of the area of interest. For retailers that satisfy the search query and fall within the boundary of the map, an indicia for such retailers may be displayed on the map. Due to space constraints of the display, the entire listing of retailers is not presented but rather a subset of the retailers is presented at any given time in the display area. Consequently, the number of retailers displayed from the listing of retailers does not correspond to the number of retailers indicated on the map.
  • a method for visualizing query results in relation to a map includes: specifying a geographic location of interest around which query results are to be clustered; querying a data source using a search query; constraining entities that satisfy the search query to form a subset of entities having a predefined number of entities that are geographically proximate to the specified location of interest; displaying an indicia for each of the entities in the subset of entities in a content area of a display; displaying a map of a geographic area on the display, where the geographic area includes the specified location of interest; and designating a boundary on the map whereby each of the entities in the subset of entities reside in the boundary and other entities that satisfy the search query reside outside the boundary.
  • FIG. 1 is a diagram of a system for visualizing query results in relation to a map
  • FIG. 2 is a flowchart depicting a method for visualizing query results in relation to a map
  • FIG. 3A is an exemplary display of a query tool illustrating a boundary on a map encircling the entities shown in the content area of the display;
  • FIG. 3B is another exemplary display for the query tool
  • FIG. 4A is an exemplary display of the query tool illustrating the user reducing the number of entities shown in the content area of the display;
  • FIG. 4B is an exemplary display of the query tool illustrating the user increasing the number of entities shown in the content area of the display;
  • FIG. 5A is an exemplary display of the query tool illustrating the user reducing the area encompassed by the boundary on the map;
  • FIG. 5B is an exemplary display of the query tool illustrating the user reducing the area encompassed by the boundary on the map;
  • FIGS. 6A-6C are exemplary displays of the query tool illustrating a scrollable listing of entities that satisfy a search query
  • FIG. 7 is an exemplary display of the query tool illustrating the user changing the geographic location of interest
  • FIG. 8 is an exemplary display of the query tool illustrating graduated boundaries for the area of interest
  • FIGS. 9A-9C illustrate an alternative embodiment for how the user could change the geographic location of interest
  • FIGS. 10A and 10B illustrate another embodiment for how the user could change the geographic location of interest
  • FIGS. 11A and 11B depict a coordinated visualization amongst multiple locations of interest on a display of the query tool.
  • FIG. 12 is a functional block diagram for an exemplary embodiment of the query tool.
  • a system for visualizing query results in relation to a map is provided and is generally referred to as system 10 .
  • the system 10 is comprised of a query tool 12 , a content database 13 , and a map database 14 .
  • the query tool 12 is a computer software program (i.e., computer executable instructions) executed by a processor of a computing device 16 .
  • the computing device 16 may employ a conventional computer architecture having a central processing unit (CPU), a random access memory, and other types of data stores coupled to a data bus.
  • the computing device may further include one or more user interface components, such as a display, keyboard or touchscreen, as well as an input/output (I/O) module to facilitate communication with external devices via any suitable means such as wired connection or wireless connection.
  • user interface components such as a display, keyboard or touchscreen
  • I/O input/output
  • Computing devices with other types of components and/or architectures are also contemplated by this disclosure.
  • the query tool 12 may be used to query the content database 13 .
  • the user may be searching for retailers located in a particular geographic area of interest.
  • the user will specify a geographic location of interest.
  • the user may specify a city and/or a zip code.
  • the user's computing device may be equipped with a global positioning system (GPS).
  • GPS global positioning system
  • the current global coordinates as reported by the GPS may be used to form the search criteria.
  • Other types of indicators for the geographic location of interest are also contemplated.
  • the query tool receives an indicator for a geographic location of interest to use in the search query. It is readily understood that the indicator for the geographic area of interest may be combined with other search criteria when forming the search query.
  • the query tool will then query the content database 13 using the search criteria.
  • the content database 13 contains the content to be searched.
  • the content database contains a listing of retailers.
  • Search results will be displayed in relation to a map as shown in FIG. 3A .
  • An exemplary display 30 is partitioned into different areas, including a content area 32 and a map area 34 .
  • a listing of the content that satisfies the search query or a subset thereof is displayed.
  • contact information such as name, address and phone number, may be presented in the listing for each of the retailers that satisfy the search query.
  • the map area a map that encompasses the geographic area of interest is displayed.
  • the number of retailers displayed in the content area 32 at a given time will correspond to an area designated on the map in the map area 34 .
  • the query tool 12 selects a predefined number of content entities to present in the content area (e.g., 10) although this number may be configurable by the user.
  • a predefined number of content entities to present in the content area e.g., 10
  • indicia for ten (10) entities are presented in the content area 32 .
  • a boundary 36 is designated, such that each of the ten entities reside inside the boundary.
  • the entities displayed are those having the closest geographic proximity to the geographic location of interest.
  • Search results are constrained by the query tool to form a subset of entities having a predefined number of entities, where the predefined number of entities corresponds to the number of entities to be displayed in the content area.
  • the query tool may order the entities that satisfy the search query in accordance with geographic proximity to the specified location of interest (e.g., closest to furthest away) and select the entities closest to the location of interest to form the subset of entities.
  • the query tool selects the ten entities closest to the specified location of interest.
  • Indicia for each of the entities in the subset of entities are then displayed in the content area of the display.
  • Other criterion for forming the subset of entities is also contemplated by this disclosure.
  • the query tool will also query the map database to retrieve a map that includes the specified location of interest.
  • the retrieved map is displayed by the query tool in the map area.
  • the query tool will further designate a boundary on the map, whereby each of the entities in the subset of entities resides in the boundary and other entities that satisfy the search query reside outside the boundary.
  • the boundary is defined to only encompass the entities in the subset.
  • the number of entities in the subset may also be displayed on the map inside or adjacent to the boundary.
  • the boundary may be further defined as a circle having a center positioned on the map at or near the geographic location of interest and a circumference aligned with an entity in the subset that is located furthest from the geographic location of interest amongst the entities in the subset.
  • the query tool may optionally display an indicia on the map at the location where each entity in the subset resides on the map.
  • FIG. 3B illustrates a boundary having an amorphous shape.
  • the boundary may be defined by taking into account changes in elevation from the point of interest. Given the two-dimensional distance to the entity located furthest from the geographic location of interest, the boundary can be defined using the elevation change in any given direction from the geographic location of interest. Thus, a direction having a large amount of elevation change will have a closer boundary than a direction having nominal amount of elevation change.
  • the boundary may be defined by taking into account the amount of time is takes to drive from the point of interest. Given the time to reach the entity located furthest from the geographic location of interest, remainder of the boundary can be defined at a distance requiring the amount of drive time. Drive time metrics can be obtained from various sources as is known in the art. Other shapes for the boundary as well as other means for computing such shapes are also contemplated by this disclosure.
  • this methodology for visualizing query results as implemented by the query tool is summarized as follows. First, a geographic location of interest around which query results are to be clustered is received or otherwise specified at 21 to the query tool.
  • the geographic location of interest provides at least a portion of a search query constructed by the query tool.
  • the query tool will in turn query the content database or some other data source at 22 using the search query.
  • Entities satisfying the search query are constrained at 23 to form a subset of entities having a predefined number of entities that are geographically proximate to the specified location of interest.
  • Indicia for each of the entities in the subset of entities are displayed at 24 in a content area of a display.
  • a map is displayed at 25 , where the displayed geographic area includes the specified location of interest.
  • a boundary is designated at 26 on the map whereby each of the entities in the first subset of entities reside in the boundary and other entities that satisfy the search query reside outside the boundary.
  • the query tool may receive input from the user to decrease or increase the number of entities presented.
  • the user elects to reduce the number of entities presented from 10 to 3; whereas, in FIG. 4B , the user elects to increase the number of entities presented from 10 to 21.
  • the user may adjust the number of entities with a touch gesture captured by a touchscreen of the computing device.
  • the user may input a desired radius (e.g., 20 miles) from the specified location of interest. The query tool will in turn determine the number of entities that fall within the desired radius and adjust the display accordingly.
  • the query tool select the entities closest to the location of interest to form the subset of entities displayed in the content area.
  • the boundary on the map is resized to illustrate the area that encompasses the entities displayed in the content area.
  • the query tool may receive input from the user to decrease or increase the area encompassed by the boundary on the map as shown in FIGS. 5A and 5B .
  • the user elects to decrease the area; whereas, in FIG. 5B , the user elects to increase the area.
  • the user may adjust the area size with a touch gesture captured by a touchscreen of the computing device.
  • the user may input a desired radius (e.g., 20 miles) for the boundary on the map.
  • the query tool will in turn determine the number of entities that fall within the desired area and adjust the display accordingly.
  • the number of entities displayed in the content area is changed to match the number of entities encompassed by the boundary on the map.
  • the entities in the content area may be presented in a scrollable listing.
  • the ten entities closest to the geographic location of interest are presented in the content area.
  • a boundary encompassing each of the entities is designated on the map as discussed above in relation to FIG. 3A .
  • the boundary on the map may be modified as the user scrolls through the listing of entities. For example, upon scrolling down the listing, the next ten entities (i.e., entities 11 - 20 ) closest to the geographic location of interest may be presented in the content area as shown in FIG. 6B .
  • the boundary on the map is resized to encompass the twenty entities closest to the geographic location of interest (not shown). The number twenty may be displayed on the map inside or adjacent to the boundary.
  • the boundary encompassing the first ten entities remains on the map but a second boundary is added to the map as shown in FIG. 6B , where the second boundary encompasses the first twenty entities.
  • the number ten may be displayed on the map inside or adjacent to the second boundary to signify the number of entities encompassed inside the second boundary but outside of the first boundary.
  • the boundaries on the map may be further modified.
  • the user may scroll down further in the listing to present the next ten entities (i.e., entities 21 - 30 ).
  • a third boundary encompassing the entirety of the thirty entities may be added to the map as shown in FIG. 6C .
  • the number ten may be displayed on the map inside or adjacent to the third boundary to signify the number of entities encompassed inside the third boundary but outside of the second boundary. Additionally, the first boundary and/or second may be removed from the map.
  • the query tool may receive input from the user to change the specified geographic location of interest.
  • the user begins by touching a touchscreen of the computing device to designate a geographic location of interest.
  • the user may touch a point in the state of Washington as indicated at 71 to obtain search results centered around this location of interest.
  • the query tool will in turn determine a predefined number of entities (e.g., 10) located closest to this point of interest and display these entities in the manner described above in relation to FIG. 3A .
  • the user may then touch another point on the map.
  • the user touches a point in the state of Oklahoma as indicated at 72 .
  • the query tool will determine the predefined number of entities located closest to this new point of interest and then display these entities on the display. More specifically, indicia for the entities closest to the new point of interest are presented in the content area and a boundary encompassing these entities is presented on the map. Of note, the boundary encompassing the entities at the first location is retained on the map so that user may compare the size of the two areas.
  • the user may identify a third point of interest as indicated at 73 and the query tool will modify the display accordingly. To identify points of interest, the user may elect to slide a finger on the map. In this case, the size of the boundary could be dynamically adjusted to signify the number of entities at a given location. Other techniques for inputting geographic location of interest are also contemplated.
  • each boundary may encapsulate increments other than twenty five.
  • FIGS. 9A-9C Another embodiment that enables the user to change the geographic location of interest is depicted in FIGS. 9A-9C .
  • the user designates a geographic location of interest by touching the touchscreen.
  • the user may touch a point in the state of Washington as indicated at 91 of FIG. 9A .
  • the query tool will in turn determine a predefined number of entities (e.g., 10) located closest to this point of interest and display these entities.
  • the user may change the point of interest as indicated at 92 .
  • the user applies gesture motions to the touchscreen to move the map while maintaining the position of the circle on the display.
  • the positioning of the map may be changed using arrow inputs as indicated at 93 .
  • the size of the circle boundary can be dynamically adjusted to signify the area encompassing the predefined number of entities as seen at 94 in FIG. 9C .
  • FIGS. 10A and 10B illustrate a related embodiment that enables the user to change the geographic location of interest.
  • user again designates a geographic location of interest, for example, by touching the touchscreen.
  • the query tool will in turn determine a predefined number of entities (e.g., 10) located closest to this point of interest and display these entities.
  • the user specifies another geographic location of interest.
  • the second geographic location of interest may be changed by moving the point of interest (as described in relation to FIG. 7 ), moving the position of the map (as described in relation to FIGS. 9A-9C ), or some other means for specifying the location of interest.
  • the size of the boundary i.e., circle
  • the scale of the map changes between the two views.
  • the second location of interest is more densely populated than the first location of interest.
  • the scale of the map decreases so that the circle encompasses a smaller geographic area as best seen in FIG. 10B .
  • FIGS. 11A and 11B illustrate another feature supported by the query tool.
  • the user would first specify two locations of interest, for example, by touching the touchscreen. For example, the user may be interested in entities located in both Atlanta and Denver.
  • the query tool will in turn determine a predefined number of entities (e.g., 50) located closest to each point of interest and display a corresponding boundary that encompasses the entities on the map.
  • the display may exclude the content area 32 as shown or may include a content area for each area of interest. It is noted that the size of the circles may vary between the two locations. While only two locations of interest are described, it is understood that the query tool may support visualization for three or more locations of interest.
  • the user may modify one or more area for comparison.
  • the total number of entities encompassed by the two areas remains fixed (e.g., 100).
  • the size of the other area of interest is adjusted accordingly as shown in FIG. 11B .
  • the area associated with Denver is increased to encompass 70 entities, thereby maintaining total number of entities displayed at one hundred.
  • FIG. 12 the computer programming used to implement embodiments of the query tool and its method will now be discussed. Specifically, this figure shows the software components and manner of programming to effect content searching and visualization of query results in the manner discussed above.
  • the software components may be loaded into memory and are then acted upon by CPU to produce the above-described behaviors. These components may be incorporated into or associated with the operating system of the computing device.
  • Functional block 100 provides the content searching and visualization of query results functions.
  • This functional block 100 includes a search user interface 102 that supports interactions with the user of the system.
  • the search user interface 102 receives search criteria, including a geographic area of interest, from the user and performs queries of the content database and the map database in accordance with the search query.
  • the search user interface 102 in turn interfaces with a display of the computing device to output the results of the search query.
  • Other types of interactions between the user and system are also supported by the search user interface 102 .
  • Ongoing user interactions with the display are also handled by this functional block.
  • these interactions are passed on to the on-map operation detecting module 103 for subsequent processing.
  • the changeable area determining module 104 determines when a user is resizing the bounded area on the map (as shown in FIGS. 5A and 5B ).
  • the in-area contents situation determining module 107 can determine the content entities that fall within the new boundary.
  • the on-map movable current position detecting module 105 determines when the user is changing the specific geographic location of interest (e.g., as shown in FIG. 7 ).
  • the center-based contents search module 106 When the location of interest changes, the center-based contents search module 106 performs a new query of the contents database using the new location of interest. Search result from the center-based contents search module 106 are passed along to the in-area contents situation determining module 107 whose function is again to determine content needed for the content area based on the number of entities presently shown in the content area. In either example, given the output from the in-area contents situation determining module 107 , the dynamic area visualizing module 108 adjusts the map displayed in the map area; whereas, the dynamic contents situation interfacing 110 adjusts the content displayed in the content area.
  • the on-map operation detecting module 103 may also handle more conventional map interactions such as zooming in or out the displayed map.
  • the changeable content size determining module 114 determines when a user is adjusting the number of content entities presented in the content area (as shown in FIGS. 4A and 4B ).
  • the displayable contents counting module 116 determines the number of content entities to present in the content area.
  • the scroll position determining module 118 determines when a user is scrolling through a listing of content entities (as shown in FIGS. 6A-6C ).
  • the displayable contents situation determining module 120 determines the content needed to update the content area. Given the output from the displayable contents situation determining module 120 , the in-view contents displaying module 122 updates the content area; whereas, the dynamic contents situation interfacing 110 adjusts the map accordingly.
  • Example embodiments are provided so that this disclosure will be thorough, and will fully convey the scope to those who are skilled in the art. Numerous specific details are set forth such as examples of specific components, devices, and methods, to provide a thorough understanding of embodiments of the present disclosure. It will be apparent to those skilled in the art that specific details need not be employed, that example embodiments may be embodied in many different forms and that neither should be construed to limit the scope of the disclosure. In some example embodiments, well-known processes, well-known device structures, and well-known technologies are not described in detail.

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US13/092,609 2011-04-22 2011-04-22 Visualization of Query Results in Relation to a Map Abandoned US20120268485A1 (en)

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US13/092,609 US20120268485A1 (en) 2011-04-22 2011-04-22 Visualization of Query Results in Relation to a Map
CN201280001739.3A CN102959550B (zh) 2011-04-22 2012-04-19 区域检索装置和区域检索方法
PCT/JP2012/002713 WO2012144216A1 (ja) 2011-04-22 2012-04-19 領域検索装置および領域検索方法
US13/806,107 US9183437B2 (en) 2011-04-22 2012-04-19 Area search device and area search method
JP2012533822A JP5955770B2 (ja) 2011-04-22 2012-04-19 領域検索装置および領域検索方法

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US20130094718A1 (en) 2013-04-18
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WO2012144216A1 (ja) 2012-10-26

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