Abstract: High-precision local search is performed on the Internet. A map image-rendering software provider embeds spatial keys into maps, which are then provided to producers of Internet content such as map providers. For example, a homeowner may post a message on a web bulletin board advertising his house for sale, and including a map showing the location of the house. When a search engine's web crawler encounters a page having a spatial key embedded in an image, the spatial key is indexed with the other content on the page. Because the spatial key identifies a small geographic area, indexing the content with the spatial key allows search queries to be limited by area and still provide useful results. Thus, a user of a search engine searching for “house for sale” in a specific area will be directed to web pages that meet the geographic and content search terms.

Abstract: Specified streets or intersections that are within a specified distance of a specified city can be found by a search, even when they are not actually in that city. For computational efficiency, some addresses are included in search results even when they exceed the specified distance from the specified city by a small amount (“false positives”). The search method guarantees that no instance of the street name within the specified distance of the specified city is erroneously missed (“false negatives”).

Abstract: A system includes a GPS module, user interface module, database and routing engine. To find nearby POIs in one embodiment the routing engine identifies POIs in the database located within a threshold distance from the planned route in Euclidean distance. The routing engine filters the results by exploring the road network to determine whether each of the POIs is within the threshold distance of the route in driving distance. The filtering may include exploring outward from the POI, until all roads within the threshold distance are explored or the route is reached; alternatively, distance to the POIs is checked by exploring outward from the route until all roads within the threshold distance of the route have been exposed. For those POIs reached in the exploration, the nearest point on the route and the distance to that point are known. Similar searches are performed based on driving time rather than distance.

Abstract: A system includes a GPS module, user interface module, database and routing engine. To find nearby POIs in one embodiment the routing engine identifies POIs in the database located within a threshold distance from the planned route in Euclidean distance. The routing engine filters the results by exploring the road network to determine whether each of the POIs is within the threshold distance of the route in driving distance. The filtering may include exploring outward from the POI, until all roads within the threshold distance are explored or the route is reached; alternatively, distance to the POIs is checked by exploring outward from the route until all roads within the threshold distance of the route have been exposed. For those POIs reached in the exploration, the nearest point on the route and the distance to that point are known. Similar searches are performed based on driving time rather than distance.

Abstract: A routing module identifies POIs that can be reached from a route with a cost less than distance m. A routing engine performs a reverse exploration on nodes in the planned route to locate POIs from which the route can be reached with a cost of less than a second cost n. POIs identified as being reachable from the route with a cost of less than m, and from which the route is reachable with a cost less than n are then further filtered to identify a subset of the POIs for which the sum of the time or distance from the route to the POI and the time or distance from the POI back to the route is less than a threshold time or distance, t.

Abstract: High-precision local search is performed on the Internet. A map image-rendering software provider embeds spatial keys into maps, which are then provided to producers of Internet content such as map providers. For example, a homeowner may post a message on a web bulletin board advertising his house for sale, and including a map showing the location of the house. When a search engine's web crawler encounters a page having a spatial key embedded in an image, the spatial key is indexed with the other content on the page. Because the spatial key identifies a small geographic area, indexing the content with the spatial key allows search queries to be limited by area and still provide useful results. Thus, a user of a search engine searching for “house for sale” in a specific area will be directed to web pages that meet the geographic and content search terms.

Abstract: High-precision local search is performed on the Internet. A map image-rendering software provider embeds spatial keys into maps, which are then provided to producers of Internet content such as map providers. For example, a homeowner may post a message on a web bulletin board advertising his house for sale, and including a map showing the location of the house. When a search engine's web crawler encounters a page having a spatial key embedded in an image, the spatial key is indexed with the other content on the page. Because the spatial key identifies a small geographic area, indexing the content with the spatial key allows search queries to be limited by area and still provide useful results. Thus, a user of a search engine searching for “house for sale” in a specific area will be directed to web pages that meet the geographic and content search terms.

Abstract: A routing module identifies POIs that can be reached from a route with a cost less than distance m. A routing engine performs a reverse exploration on nodes in the planned route to locate POIs from which the route can be reached with a cost of less than a second cost n. POIs identified as being reachable from the route with a cost of less than m, and from which the route is reachable with a cost less than n are then further filtered to identify a subset of the POIs for which the sum of the time or distance from the route to the POI and the time or distance from the POI back to the route is less than a threshold time or distance, t.

Abstract: A system includes a GPS module, user interface module, database and routing engine. To find nearby POIs in one embodiment the routing engine identifies POIs in the database located within a threshold distance from the planned route in Euclidean distance. The routing engine filters the results by exploring the road network to determine whether each of the POIs is within the threshold distance of the route in driving distance. The filtering may include exploring outward from the POI, until all roads within the threshold distance are explored or the route is reached; alternatively, distance to the POIs is checked by exploring outward from the route until all roads within the threshold distance of the route have been exposed. For those POIs reached in the exploration, the nearest point on the route and the distance to that point are known. Similar searches are performed based on driving time rather than distance.

Abstract: A routing module identifies POIs that can be reached from a route with a cost less than distance m. A routing engine performs a reverse exploration on nodes in the planned route to locate POIs from which the route can be reached with a cost of less than a second cost n. POIs identified as being reachable from the route with a cost of less than m, and from which the route is reachable with a cost less than n are then further filtered to identify a subset of the POIs for which the sum of the time or distance from the route to the POI and the time or distance from the POI back to the route is less than a threshold time or distance, t.

Abstract: A system includes a GPS module, user interface module, database and routing engine. To find nearby POIs in one embodiment the routing engine identifies POIs in the database located within a threshold distance from the planned route in Euclidean distance. The routing engine filters the results by exploring the road network to determine whether each of the POIs is within the threshold distance of the route in driving distance. The filtering may include exploring outward from the POI, until all roads within the threshold distance are explored or the route is reached; alternatively, distance to the POIs is checked by exploring outward from the route until all roads within the threshold distance of the route have been exposed. For those POIs reached in the exploration, the nearest point on the route and the distance to that point are known. Similar searches are performed based on driving time rather than distance.

Abstract: A routing module identifies POIs that can be reached from a route with a cost less than distance m. A routing engine performs a reverse exploration on nodes in the planned route to locate POIs from which the route can be reached with a cost of less than a second cost n. POIs identified as being reachable from the route with a cost of less than m, and from which the route is reachable with a cost less than n are then further filtered to identify a subset of the POIs for which the sum of the time or distance from the route to the POI and the time or distance from the POI back to the route is less than a threshold time or distance, t.

Abstract: Specified streets or intersections that are within a specified distance of a specified city can be found by a search, even when they are not actually in that city. For computational efficiency, some addresses are included in search results even when they exceed the specified distance from the specified city by a small amount (“false positives”). The search method guarantees that no instance of the street name within the specified distance of the specified city is erroneously missed (“false negatives”).

Abstract: A routing module identifies POIs that can be reached from a route with a cost less than distance m. A routing engine performs a reverse exploration on nodes in the planned route to locate POIs from which the route can be reached with a cost of less than a second cost n. POIs identified as being reachable from the route with a cost of less than m, and from which the route is reachable with a cost less than n are then further filtered to identify a subset of the POIs for which the sum of the time or distance from the route to the POI and the time or distance from the POI back to the route is less than a threshold time or distance, t.

Abstract: Specified streets or intersections that are within a specified distance of a specified city can be found by a search, even when they are not actually in that city. For computational efficiency, some addresses are included in search results even when they exceed the specified distance from the specified city by a small amount (“false positives”). The search method guarantees that no instance of the street name within the specified distance of the specified city is erroneously missed (“false negatives”).

Abstract: A system includes a GPS module, user interface module, database and routing engine. To find nearby POIs in one embodiment the routing engine identifies POIs in the database located within a threshold distance from the planned route in Euclidean distance. The routing engine filters the results by exploring the road network to determine whether each of the POIs is within the threshold distance of the route in driving distance. The filtering may include exploring outward from the POI, until all roads within the threshold distance are explored or the route is reached; alternatively, distance to the POIs is checked by exploring outward from the route until all roads within the threshold distance of the route have been exposed. For those POIs reached in the exploration, the nearest point on the route and the distance to that point are known. Similar searches are performed based on driving time rather than distance.

Abstract: High-precision local search is performed on the Internet. A map image-rendering software provider embeds spatial keys into maps, which are then provided to producers of Internet content such as map providers. For example, a homeowner may post a message on a web bulletin board advertising his house for sale, and including a map showing the location of the house. When a search engine's web crawler encounters a page having a spatial key embedded in an image, the spatial key is indexed with the other content on the page. Because the spatial key identifies a small geographic area, indexing the content with the spatial key allows search queries to be limited by area and still provide useful results. Thus, a user of a search engine searching for “house for sale” in a specific area will be directed to web pages that meet the geographic and content search terms.

Abstract: A system includes a GPS module, user interface module, database and routing engine. To find nearby POIs in one embodiment the routing engine identifies POIs in the database located within a threshold distance from the planned route in Euclidean distance. The routing engine filters the results by exploring the road network to determine whether each of the POIs is within the threshold distance of the route in driving distance. The filtering may include exploring outward from the POI, until all roads within the threshold distance are explored or the route is reached; alternatively, distance to the POIs is checked by exploring outward from the route until all roads within the threshold distance of the route have been exposed. For those POIs reached in the exploration, the nearest point on the route and the distance to that point are known. Similar searches are performed based on driving time rather than distance.

Abstract: A routing module identifies POIs that can be reached from a route with a cost less than distance m. A routing engine performs a reverse exploration on nodes in the planned route to locate POIs from which the route can be reached with a cost of less than a second cost n. POIs identified as being reachable from the route with a cost of less than m, and from which the route is reachable with a cost less than n are then further filtered to identify a subset of the POIs for which the sum of the time or distance from the route to the POI and the time or distance from the POI back to the route is less than a threshold time or distance, t.

Abstract: A routing module identifies POIs that can be reached from a route with a cost less than distance m. A routing engine performs a reverse exploration on nodes in the planned route to locate POIs from which the route can be reached with a cost of less than a second cost n. POIs identified as being reachable from the route with a cost of less than m, and from which the route is reachable with a cost less than n are then further filtered to identify a subset of the POIs for which the sum of the time or distance from the route to the POI and the time or distance from the POI back to the route is less than a threshold time or distance, t.