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: Searching for assets, such as media assets, that are available according to desired usage criteria. Assets are associated with usage rights specified by rights holders. The usage rights are represented by rights codes, identifying domains of uses and categories of uses within each domain. Domains may comprise advertising rights, editorial rights, internal organization rights, personal use rights, and the like. An interface enables a user to enter key words and to specify desired usage criteria such as geographic location of use, duration of use, a purpose of use, and an industry for use, and exclusive use. The key words are mapped to vocabulary terms that are associated with the cataloged assets. The vocabulary terms are used to search for assets. The assets are also filtered based on the usage criteria relative to the rights codes associated with the assets. Assets matching the vocabulary terms and rights codes are displayed.

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.