Abstract: Embodiments are directed towards providing a device and method of identifying media items from a media library maintained by a media server that are similar to a designated media item. The media server stores an ontology, which is represented as a hierarchically linked set of nodes wherein a node is either a concept or a placeholder, and a library of media items. Each media item corresponds to a record in the media library and the record includes at least one metadata field with assigned keywords. The media server receives a designation of a media item from a user computer, retrieves the corresponding keywords, obtains all related concepts from the ontology, computes node weights for the related concepts, queries the media library using the node weights, to identify similar media items and provides the results to the user computer.

Abstract: Embodiments are directed towards providing a device and method of identifying media items from a media library maintained by a media server that are similar to a designated media item. The media server stores a controlled vocabulary which is represented as a hierarchically linked set of nodes wherein a plurality of nodes correspond to concepts and a library of media items. Each media item corresponds to a record in the media library and the record includes at least one metadata field with assigned keywords. The media server receives a designation of a media item from a user computer, retrieves the keywords assigned to the media item, obtains all related concepts from the controlled vocabulary, computes a search weight for each related concept, and queries the media library to identify media items that match the designated media item and provides the results to the user computer.

Abstract: Embodiments are directed towards providing a device and method of identifying media items from a media library maintained by a media server that are similar to a designated media item. The media server stores a controlled vocabulary which is represented as a hierarchically linked set of nodes wherein a plurality of nodes correspond to concepts and a library of media items. Each media item corresponds to a record in the media library and the record includes at least one metadata field with assigned keywords. The media server receives a designation of a media item from a user computer, retrieves the keywords assigned to the media item, obtains all related concepts from the controlled vocabulary, computes a search weight for each related concept, and queries the media library to identify media items that match the designated media item and provides the results to the user computer.

Abstract: Multi-lingual search and retrieval of digital content. Embodiments are generally directed to methods and systems for creating an English language database that associates non-English terms with English terms in multiple categories of metadata. Language experts use an interface to create equivalencies between non-English terms and English terms, Boolean expressions, synonyms, and other forms of search terms. Language dictionaries and other sources also create equivalencies. The database is used to evaluate non-English search terms submitted by a user, and to determine English search terms that can be used to perform a search for content. The multiple categories of metadata may comprise structured data, such as keywords of a structured vocabulary, and/or unstructured data, such as captions, titles, descriptions, etc. Weighting and/or prioritization can be applied to the search terms, to the process of searching the multiple categories, and/or to the search results, to rank the search results.

Abstract: Multi-lingual search and retrieval of digital content. Embodiments are generally directed to methods and systems for creating an English language database that associates non-English terms with English terms in multiple categories of metadata. Language experts use an interface to create equivalencies between non-English terms and English terms, Boolean expressions, synonyms, and other forms of search terms. Language dictionaries and other sources also create equivalencies. The database is used to evaluate non-English search terms submitted by a user, and to determine English search terms that can be used to perform a search for content. The multiple categories of metadata may comprise structured data, such as keywords of a structured vocabulary, and/or unstructured data, such as captions, titles, descriptions, etc. Weighting and/or prioritization can be applied to the search terms, to the process of searching the multiple categories, and/or to the search results, to rank the search results.