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Metadata repository
About: Metadata repository is a research topic. Over the lifetime, 5841 publications have been published within this topic receiving 121778 citations.
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22 Oct 2008
TL;DR: Some evidence social tagging is effective in the current context, as the same terminology was used the retrieval process as in the process of assigning metadata.
Abstract: In this paper, we report on a study that explores the contribution of social tags, professional metadata and automatically generated metadata to the retrieval process. In this study, 194 participants tagged a total of 115 videos, while another 140 participants searched the video collection for answers to eight questions. The results show that in the current context, social tags yield effective retrieval process, whereas automatically generated metadata do not. To put this result in perspective, participants' search strategies were primarily guided by the search tasks, instead of metadata elements. We have found some evidence social tagging is effective, as the same terminology was used the retrieval process as in the process of assigning metadata.
29 citations
Patent•
20 Dec 2010TL;DR: In this article, a file that is compatible with a media player application that reads media files compliant with MP4 is created by including in the file a parent container containing child containers.
Abstract: A file that is compatible with a media player application that reads media files compliant with MP4, is created by including in the file a parent container containing child containers. The child containers include a metadata container containing metadata relating to the media presentation and a media data container containing media samples for multiple tracks of the media presentation. The metadata container contains multiple child containers containing metadata for the multiple tracks respectively. The metadata container contains at least one additional child container that reserves free space in the metadata container but does not contain metadata, whereby in the event of adding a track to the presentation the free space in the additional child container may be overwritten with metadata for the added track without affecting the size of the metadata container.
29 citations
Patent•
19 Dec 2007
TL;DR: In this article, the authors propose to cache data at the storage management client application and at the network storage management server to avoid sending unnecessary requests to the storage server, thereby reducing network latency.
Abstract: A management server maintains a set of metadata describing a storage structure of a storage server. In response to a change of the storage structure, the management server automatically updates the set of metadata. The management server also manages information indicating what portion of the set of metadata is cached locally at a storage management client application. If that portion of the set of metadata is updated in response to the change of the storage structure, the management server sends information to update the metadata cached locally at the storage management client application so that the cached metadata is consistent with the set of metadata at the management server. By caching data at the storage management client application and at the network storage management server, the present invention advantageously avoids sending unnecessary requests to the storage server, thereby reducing network latency.
29 citations
Patent•
15 Mar 2013
TL;DR: In this article, a self-learning system is used to discover topics that broadly describe the incoming data in real-time, and these topics can be used to gather and store metadata from various metadata sources such as social networks.
Abstract: Self-learning systems process incoming data from sources such broadcast, cable, or IP-driven television and can discover topics that broadly describe the incoming data in real-time. These topics can be used to gather and store metadata from various metadata sources such as social networks. Using the metadata, content delivery systems working in parallel with the self-learning systems can deliver highly contextualized supplementary content to client applications, such as mobile devices used as “second screen” devices.
29 citations
31 May 2015
TL;DR: A module of lemon is developed, named LIME Linguistic Metadata, which extends VoID with a vocabulary of metadata about the ontology-lexicon interface, which is unable by itself to represent the more specific metadata relevant to lemon.
Abstract: The OntoLex W3C Community Group has been working for more than three years on a shared lexicon model for ontologies, called lemon. The lemon model consists of a core model that is complemented by a number of modules accounting for specific aspects in the modeling of lexical information within ontologies. In many usage scenarios, the discovery and exploitation of linguistically grounded ontologies may benefit from summarizing information about their linguistic expressivity and lexical coverage by means of metadata. That situation is compounded by the fact that lemon allows the independent publication of ontologies, lexica and lexicalizations linking them. While the VoID vocabulary already addresses the need for general metadata about interlinked datasets, it is unable by itself to represent the more specific metadata relevant to lemon. To solve this problem, we developed a module of lemon, named LIME Linguistic Metadata, which extends VoID with a vocabulary of metadata about the ontology-lexicon interface.
29 citations