Abstract: A method described herein includes receiving a query that is configured by an issuer of the query to be utilized to retrieve a portion of local search content, wherein the local search content comprises a first dataset and a second data set, wherein the first dataset comprises a first entity and the second dataset comprises a second entity, and wherein the query comprises a first token and a second token. The method also includes parsing the query such that the first token of the query is mapped to the first entity in the first dataset and the second token of the query is mapped to the second entity in the second dataset. The method also includes returning search results based at least in part upon the parsing of the query.

Abstract: A method described herein includes receiving a query that is configured by an issuer of the query to be utilized to retrieve a portion of local search content, wherein the local search content comprises a first dataset and a second data set, wherein the first dataset comprises a first entity and the second dataset comprises a second entity, and wherein the query comprises a first token and a second token. The method also includes parsing the query such that the first token of the query is mapped to the first entity in the first dataset and the second token of the query is mapped to the second entity in the second dataset. The method also includes returning search results based at least in part upon the parsing of the query.

Abstract: A method described herein includes receiving a query that is configured by an issuer of the query to be utilized to retrieve a portion of local search content, wherein the local search content comprises a first dataset and a second data set, wherein the first dataset comprises a first entity and the second dataset comprises a second entity, and wherein the query comprises a first token and a second token. The method also includes parsing the query such that the first token of the query is mapped to the first entity in the first dataset and the second token of the query is mapped to the second entity in the second dataset. The method also includes returning search results based at least in part upon the parsing of the query.

Abstract: “Experience Streams” (ESs) are used by a “rich interactive narrative” (RIN) data model as basic building blocks that are combined in a variety of ways to enable or construct a large number of RIN scenarios for presenting interactive narratives to the user. In general various ES types contain all the information required to define and populate a particular RIN, as well as the information (in the form of a series of navigable states) that charts an animated and interactive course through each RIN. In other words, combinations of various ES provide a scripted path through a RIN environment, as well as various UI controls and/or toolbars that enable user interaction with the interactive narrative provided by each RIN. Example ESs include, but are not limited, content browser experience streams, zoomable media experience streams, relationship graph experience streams, player-controls/toolbar experience streams, etc.

Abstract: A method described herein includes receiving a query that is configured by an issuer of the query to be utilized to retrieve a portion of local search content, wherein the local search content comprises a first dataset and a second data set, wherein the first dataset comprises a first entity and the second dataset comprises a second entity, and wherein the query comprises a first token and a second token. The method also includes parsing the query such that the first token of the query is mapped to the first entity in the first dataset and the second token of the query is mapped to the second entity in the second dataset. The method also includes returning search results based at least in part upon the parsing of the query.

Abstract: A method described herein includes receiving a query that is configured by an issuer of the query to be utilized to retrieve a portion of local search content, wherein the local search content comprises a first dataset and a second data set, wherein the first dataset comprises a first entity and the second dataset comprises a second entity, and wherein the query comprises a first token and a second token. The method also includes parsing the query such that the first token of the query is mapped to the first entity in the first dataset and the second token of the query is mapped to the second entity in the second dataset. The method also includes returning search results based at least in part upon the parsing of the query.

Abstract: Techniques for manipulation of user experience state are described. A user experience can include various types of content that a user may consume, such as video content, images, audio content, text documents, and so on. Further, a “composition” can be created using various combinations of user experiences, such as still images inset to video content, a navigable map presented with images of geographical locations associated with the map, and so on. In implementations, techniques enable user experiences included as part of a composition to interact such that behaviors associated with one user experience can affect another user experience, and vice-versa.

Abstract: A cross-lingual location search uses a combination of translation and transliteration of query tokens to develop a set of candidate matches for further searching. A query is broken up into individual tokens (e.g. address parts) and a list of transliterations and/or translations for each token is developed. The translated and transliterated results are keyed against a spatial database using both literal database keys and transliterated database keys. Matches from the resulting searches are selected when a spatial overlap, or constraint, occurs among subsequences of the query tokens.

Abstract: A method described herein includes receiving a query that is configured by an issuer of the query to be utilized to retrieve a portion of local search content, wherein the local search content comprises a first dataset and a second data set, wherein the first dataset comprises a first entity and the second dataset comprises a second entity, and wherein the query comprises a first token and a second token. The method also includes parsing the query such that the first token of the query is mapped to the first entity in the first dataset and the second token of the query is mapped to the second entity in the second dataset. The method also includes returning search results based at least in part upon the parsing of the query.

Abstract: A method described herein includes receiving a query that is configured by an issuer of the query to be utilized to retrieve a portion of local search content, wherein the local search content comprises a first dataset and a second data set, wherein the first dataset comprises a first entity and the second dataset comprises a second entity, and wherein the query comprises a first token and a second token. The method also includes parsing the query such that the first token of the query is mapped to the first entity in the first dataset and the second token of the query is mapped to the second entity in the second dataset. The method also includes returning search results based at least in part upon the parsing of the query.

Abstract: “Experience Streams” (ESs) are used by a “rich interactive narrative” (RIN) data model as basic building blocks that are combined in a variety of ways to enable or construct a large number of RIN scenarios for presenting interactive narratives to the user. In general various ES types contain all the information required to define and populate a particular RIN, as well as the information (in the form of a series of navigable states) that charts an animated and interactive course through each RIN. In other words, combinations of various ES provide a scripted path through a RIN environment, as well as various UI controls and/or toolbars that enable user interaction with the interactive narrative provided by each RIN. Example ESs include, but are not limited, content browser experience streams, zoomable media experience streams, relationship graph experience streams, player-controls/toolbar experience streams, etc.

Abstract: A method described herein includes receiving a query that is configured by an issuer of the query to be utilized to retrieve a portion of local search content, wherein the local search content comprises a first dataset and a second data set, wherein the first dataset comprises a first entity and the second dataset comprises a second entity, and wherein the query comprises a first token and a second token. The method also includes parsing the query such that the first token of the query is mapped to the first entity in the first dataset and the second token of the query is mapped to the second entity in the second dataset. The method also includes returning search results based at least in part upon the parsing of the query.

Abstract: A cross-lingual location search uses a combination of translation and transliteration of query tokens to develop a set of candidate matches for further searching. A query is broken up into individual tokens (e.g. address parts) and a list of transliterations and/or translations for each token is developed. The translated and transliterated results are keyed against a spatial database using both literal database keys and transliterated database keys. Matches from the resulting searches are selected when a spatial overlap, or constraint, occurs among subsequences of the query tokens.

Abstract: A method and system for execution in a graphical user interface environment are provided to incorporate digital image files in an email message. A template layout gallery is presented that includes a plurality of template layouts for digital image files for possible inclusion in the email message. When an indication is received that at least one digital image file is selected to be included in the email message and that one of the template layouts is to be applied to the at least one selected digital image file, the selected layout is created within the email message body according to the selected template. Prior to sending, the images are compressed.

Abstract: An image processing application employs the concept of integral pre-multiplied alpha channel, and combines the techniques of multi-resolution representation, graph-structured representation, and automatic and intelligent data type conversion in order to permit a computer user to mix and manipulate both raster and vector based images in a single user interface while remaining unaware of the different data types underlying the images.

Abstract: An image processing application employs the concept of integral pre-multiplied alpha channel, and combines the techniques of multi-resolution representation, graph-structured representation, and automatic and intelligent data type conversion in order to permit a computer user to mix and manipulate both raster and vector based images in a single user interface while remaining unaware of the different data types underlying the images.

Abstract: An image processing application employs the concept of integral pre-multiplied alpha channel, and combines the techniques of multi-resolution representation, graph-structured representation, and automatic and intelligent data type conversion in order to permit a computer user to mix and manipulate both raster and vector based images in a single user interface while remaining unaware of the different data types underlying the images.

Abstract: A method and system for execution in a graphical user interface environment are provided to incorporate digital image files in an email message. A template layout gallery is presented that includes a plurality of template layouts for digital image files for possible inclusion in the email message. When an indication is received that at least one digital image file is selected to be included in the email message and that one of the template layouts is to be applied to the at least one selected digital image file, the selected layout is created within the email message body according to the selected template. Prior to sending, the images are compressed.