Abstract: A hardware and software facility for classifying media content units using keywords from a structured vocabulary. Metadata associated with each media content unit is segmented into a series of descriptive phrases. The descriptive phrases are mapped to keywords in a structured vocabulary, and the identified keywords associated with the media content units. Descriptive phrases that are not found in the structured vocabulary are tracked as candidate phrases for later addition to the structured vocabulary. A keyword index to the media content units may be constructed. The index is used to identify specific media content units that are responsive to search queries in a reliable and accurate fashion.

Abstract: A method of presenting digital assets in response to a search query by a user to locate at least one digital asset from a database of digital assets is described. Each digital asset has at least one keyword associated with it, and each associated keyword is part of a hierarchical organization of keywords. A first set of digital assets that have associated keywords equivalent to the search query is identified as well as suggested keywords that have e.g., an ancestor, descendant or sibling relation to the search query. The digital assets and the suggested keywords are presented to the user. The user selects a suggested keyword, and a second set of digital assets that have associated keywords equivalent to the suggested keyword is identified. The second set of digital assets is presented to the user.

Abstract: A method of presenting digital assets in response to a search query by a user to locate at least one digital asset from a database of digital assets is described. Each digital asset has at least one keyword associated with it, and each associated keyword is part of a hierarchical organization of keywords. A first set of digital assets that have associated keywords equivalent to the search query is identified as well as suggested keywords that have e.g., an ancestor, descendant or sibling relation to the search query. The digital assets and the suggested keywords are presented to the user. The user selects a suggested keyword, and a second set of digital assets that have associated keywords equivalent to the suggested keyword is identified. The second set of digital assets is presented to the user.

Abstract: A method of presenting digital assets in response to a search query by a user to locate at least one digital asset from a database of digital assets is described. Each digital asset has at least one keyword associated with it, and each associated keyword is part of a hierarchical organization of keywords. A first set of digital assets that have associated keywords equivalent to the search query is identified as well as suggested keywords that have e.g., an ancestor, descendant or sibling relation to the search query. The digital assets and the suggested keywords are presented to the user. The user selects a suggested keyword, and a second set of digital assets that have associated keywords equivalent to the suggested keyword is identified. The second set of digital assets is presented to the user.

Abstract: A method of presenting digital assets in response to a search query by a user to locate at least one digital asset from a database of digital assets is described. Each digital asset has at least one keyword associated with it, and each associated keyword is part of a hierarchical organization of keywords. A first set of digital assets that have associated keywords equivalent to the search query is identified as well as suggested keywords that have e.g., an ancestor, descendant or sibling relation to the search query. The digital assets and the suggested keywords are presented to the user. The user selects a suggested keyword, and a second set of digital assets that have associated keywords equivalent to the suggested keyword is identified. The second set of digital assets is presented to the user.

Abstract: A hardware and software facility for classifying media content units using keywords from a structured vocabulary. Metadata associated with each media content unit is segmented into a series of descriptive phrases. The descriptive phrases are mapped to keywords in a structured vocabulary, and the identified keywords associated with the media content units. Descriptive phrases that are not found in the structured vocabulary are tracked as candidate phrases for later addition to the structured vocabulary. A keyword index to the media content units may be constructed. The index is used to identify specific media content units that are responsive to search queries in a reliable and accurate fashion.

Abstract: A hardware and software facility for classifying media content units using keywords from a structured vocabulary. Metadata associated with each media content unit is segmented into a series of descriptive phrases. The descriptive phrases are mapped to keywords in a structured vocabulary, and the identified keywords associated with the media content units. Descriptive phrases that are not found in the structured vocabulary are tracked as candidate phrases for later addition to the structured vocabulary. A keyword index to the media content units may be constructed. The index is used to identify specific media content units that are responsive to search queries in a reliable and accurate fashion.