Abstract: Ranking of geographic information includes receiving information about geographic features, identifying documents based on the information, each document being associated with one of the geographic features, and generating a rank score for each document based on one or more properties of the geographic feature associated with the document.

Abstract: Ranking of geographic information includes receiving information about geographic features, identifying documents based on the information, each document being associated with one of the geographic features, and generating a rank score for each document based on one or more properties of the geographic feature associated with the document.

Abstract: Ranking of geographic information includes receiving information about geographic features, identifying documents based on the information, each document being associated with one of the geographic features, and generating a rank score for each document based on one or more properties of the geographic feature associated with the document.

Abstract: Providing information includes identifying documents that are responsive to a query, some of the documents each being associated with a geographic feature, and providing a list of the documents in a sequence that is determined based on rank scores derived from one or more properties of the geographic features associated with the documents.

Abstract: Ranking of geographic information includes receiving information about geographic features, identifying documents based on the information, each document being associated with one of the geographic features, and generating a rank score for each document based on one or more properties of the geographic feature associated with the document.

Abstract: Techniques are disclosed for automatically generating and maintaining personal data, such as an address book, a financial portfolio, a discussion groups or blogs book, or other types of personal data stores, based on a person's structured search data and/or usage data (e.g., browsing) and/or other sources of personal data (e.g., emails the user receives). Related metadata can also be used in the generating and/or maintaining of the personal data. Dynamic personal data ranking and/or autocomplete functions are also provided, which can be used in conjunction with the automatic generation and maintenance of the user's personal data, to further ease the user's burden in managing and/or handling such data.

Abstract: To generate address components for a selected map feature, all polygonal map features containing or near the location of a selected map feature are identified. The error bounds of each identified polygon are modeled based on the quality of the boundary of the polygon. Then, the error bounds of the polygon are compared to the location of the selected map feature to determine the strength of the match. The address components corresponding to the identified polygons are suggested to be components of the address of the selected map feature based on the strength of the matches. In another embodiment, a risk of inaccuracy of a combination of address components in an edited map feature is determined from comparison to other map data and can be adjusted based in part on the magnitude of an inconsistency between address components.

Abstract: A semi-automatic generation of addresses of map features is performed. A geographic information system includes one or more databases comprising map features. Each map feature is indexed by location, and may include an address. Each address is composed of one or more address components, such as street, city, state, country, zip code, and the like. To generate address components for a selected map feature, all polygonal map features containing or near the location of a selected map feature are identified. The strength of the matches between the location of the selected map feature and the identified polygonal features is determined. The address components corresponding to the identified polygonal features are automatically compiled and suggested to the user to be components of the address of the selected map feature based on the strength of the matches.

Abstract: One or more interactive controls are displayed on an online map that allow a user to provide attributes about a photograph including the location from which the photograph was taken and the location of the subject in the photograph. The system receives the input and stores the information as associated with the photograph.

Abstract: Providing information includes identifying documents that are responsive to a query, some of the documents each being associated with a geographic feature, and providing a list of the documents in a sequence that is determined based on rank scores derived from one or more properties of the geographic features associated with the documents.

Abstract: Methods, systems, and apparatus, including computer program products, for identifying candidate synonyms of transliterated terms for query expansion. In one aspect, a method includes identifying multiple transliterated terms in a target language. For each transliterated term of the multiple transliterated terms in the target language, the transliterated term is mapped to one or more terms in a source language. For a first transliterated term of the multiple transliterated terms in the target language, one or more second transliterated terms of the multiple transliterated terms in the target language are identified as candidate synonyms of the first transliterated term, where each of the one or more second transliterated terms is mapped to at least one term in the source language that is also mapped from the first transliterated term.

Abstract: Ranking of geographic information includes receiving information about geographic features, identifying documents based on the information, each document being associated with one of the geographic features, and generating a rank score for each document based on one or more properties of the geographic feature associated with the document.

Abstract: Techniques are disclosed for automatically generating and maintaining personal data, such as an address book, a financial portfolio, a discussion groups or blogs book, or other types of personal data stores, based on a person's structured search data and/or usage data (e.g., browsing) and/or other sources of personal data (e.g., emails the user receives). Related metadata can also be used in the generating and/or maintaining of the personal data. Dynamic personal data ranking and/or autocomplete functions are also provided, which can be used in conjunction with the automatic generation and maintenance of the user's personal data, to further ease the user's burden in managing and/or handling such data.

Abstract: Techniques are disclosed for automatically generating and maintaining personal data, such as an address book, a financial portfolio, a discussion groups or blogs book, or other types of personal data stores, based on a person's structured search data and/or usage data (e.g., browsing) and/or other sources of personal data (e.g., emails the user receives). Related metadata can also be used in the generating and/or maintaining of the personal data. Dynamic personal data ranking and/or autocomplete functions are also provided, which can be used in conjunction with the automatic generation and maintenance of the user's personal data, to further ease the user's burden in managing and/or handling such data.

Abstract: Techniques are disclosed for automatically generating and maintaining personal data, such as an address book, a financial portfolio, a discussion groups or blogs book, or other types of personal data stores, based on a person's structured search data and/or usage data (e.g., browsing) and/or other sources of personal data (e.g., emails the user receives). Related metadata can also be used in the generating and/or maintaining of the personal data. Dynamic personal data ranking and/or autocomplete functions are also provided, which can be used in conjunction with the automatic generation and maintenance of the user's personal data, to further ease the user's burden in managing and/or handling such data.

Abstract: Methods, systems, and apparatus, including computer program products, for identifying candidate synonyms of transliterated terms for query expansion. In one aspect, a method includes identifying multiple transliterated terms in a target language. For each transliterated term of the multiple transliterated terms in the target language, the transliterated term is mapped to one or more terms in a source language. For a first transliterated term of the multiple transliterated terms in the target language, one or more second transliterated terms of the multiple transliterated terms in the target language are identified as candidate synonyms of the first transliterated term, where each of the one or more second transliterated terms is mapped to at least one term in the source language that is also mapped from the first transliterated term.

Abstract: Techniques are disclosed for automatically generating and maintaining personal data, such as an address book, a financial portfolio, a discussion groups or blogs book, or other types of personal data stores, based on a person's structured search data and/or usage data (e.g., browsing) and/or other sources of personal data (e.g., emails the user receives). Related metadata can also be used in the generating and/or maintaining of the personal data. Dynamic personal data ranking and/or autocomplete functions are also provided, which can be used in conjunction with the automatic generation and maintenance of the user's personal data, to further ease the user's burden in managing and/or handling such data.

Abstract: In some of the embodiments described herein, a vehicle information system may be used to generate route map information, schedule information, estimated time of arrival information, or the like based upon location information received from passenger-carried or cargo-carried wireless devices, such as passengers' cellular phones. In such circumstances, a remote device (e.g., a display device at a vehicle station, a network-connected personal computer, or a cellular phone of a person who might board a mass transit vehicle) may access the route map information, schedule information, and other information related to one or more mass transit vehicles.

Abstract: Methods, systems, and apparatus, including computer program products, for performing transliteration between text in different scripts. In one aspect, a method includes generating a transliteration model based on statistical information derived from parallel text having first text in an input script and corresponding second text in an output script; and using the transliteration model to transliterate input characters in the input script to output characters in the output script. In another aspect, a method includes performing word level transliterations. In another aspect, a method includes using an entry-aligned dictionary of source and target script pairs, in which, whenever a particular source word is mapped to multiple target words, the dictionary includes an entry for each target word including the same source word repeated in each entry. In another aspect, a method includes using phonetic scores of words in different scripts to identify corresponding parallel text.

Abstract: In some of the embodiments described herein, a vehicle information system may be used to generate route map information, schedule information, estimated time of arrival information, or the like based upon location information received from passenger-carried or cargo-carried wireless devices, such as passengers' cellular phones. In such circumstances, a remote device (e.g., a display device at a vehicle station, a network-connected personal computer, or a cellular phone of a person who might board a mass transit vehicle) may access the route map information, schedule information, and other information related to one or more mass transit vehicles.