Topic
Metadata repository
About: Metadata repository is a research topic. Over the lifetime, 5841 publications have been published within this topic receiving 121778 citations.
Papers published on a yearly basis
Papers
More filters
••
TL;DR: Two photo clustering algorithms for generating meaningful photo groups are introduced: Hierarchical event clustering; and Clothing based person recognition, which assumes that people who wear similar clothing and appear in photos taken in one day are very likely to be the same person.
58 citations
•
13 Jun 2005
TL;DR: In this article, the authors present software and metadata structures for a data processing system and method, for applications such as marketing campaign management, speech recognition and signal processing, for which a control interface may modify the plurality of selectable parameters in response to received control information.
Abstract: The various embodiments of the invention provide software and metadata structures for a data processing system and method, for applications such as marketing campaign management, speech recognition and signal processing. An exemplary system embodiment includes a first data repository adapted to store a plurality of entity and attribute data; a second data repository adapted to store a plurality of entity linkage data; a metadata data repository adapted to store a plurality of metadata modules, with a first metadata module having a plurality of selectable parameters, received through a control interface, and having a plurality of metadata linkages to a first subset of metadata modules; and a multidimensional data structure. The control interface may modify the plurality of selectable parameters in response to received control information. A plurality of processing nodes are adapted to use the plurality of selectable parameters to assemble a first plurality of data from the first and second data repositories and from input data, to reduce the first plurality of data to form a second plurality of data, and to aggregate and dimension the second plurality of data for storage in the multidimensional data structure.
58 citations
•
07 May 2009TL;DR: In this article, a system and methods for leveraging proximity data in a web-based socially-enabled information networking environment are disclosed, which may be implemented on a system, of semantic advertising via semantic profiles.
Abstract: Systems and methods for leveraging proximity data in a web-based socially- enabled information networking environment are disclosed. In one aspect, embodiments of the present disclosure include a method, which may be implemented on a system, of semantic advertising via semantic profiles. One embodiment can include, receiving a model profile from an advertiser, enforcing a set of rules that govern accessibility of the web content, parsing the model profile to obtain a first set of model user metadata associated with the ideal set of user characteristics, comparing model user metadata of the first set of model user metadata with user metadata of a set of user metadata of a semantic user profile of a user, and generating a correlation index to indicate a degree of correlation between the model profile and the semantic user profile.
58 citations
••
01 Oct 1999TL;DR: This work introduces metadata implantation and stepwise evolution techniques to interrelate database elements in different databases, and to resolve conflicts on the structure and semantics of database elements (classes, attributes, and individual instances).
Abstract: A key aspect of interoperation among data-intensive systems involves the mediation of metadata and ontologies across database boundaries. One way to achieve such mediation between a local database and a remote database is to fold remote metadata into the local metadata, thereby creating a common platform through which information sharing and exchange becomes possible. Schema implantation and semantic evolution, our approach to the metadata folding problem, is a partial database integration scheme in which remote and local (meta)data are integrated in a stepwise manner over time. We introduce metadata implantation and stepwise evolution techniques to interrelate database elements in different databases, and to resolve conflicts on the structure and semantics of database elements (classes, attributes, and individual instances). We employ a semantically rich canonical data model, and an incremental integration and semantic heterogeneity resolution scheme. In our approach, relationships between local and remote information units are determined whenever enough knowledge about their semantics is acquired. The metadata folding problem is solved by implanting remote database elements into the local database, a process that imports remote database elements into the local database environment, hypothesizes the relevance of local and remote classes, and customizes the organization of remote metadata. We have implemented a prototype system and demonstrated its use in an experimental neuroscience environment.
57 citations
•
01 Apr 1998
TL;DR: In this article, a method of modifying a database structure requires firstly modifying metadata that describes the relevant database structure, and then the relevant DB structure is automatically modified to conform to the modified metadata.
Abstract: A method of modifying a database structure requires firstly modifying metadata that describes the relevant database structure. Thereafter, the relevant database structure is automatically modified to conform to the modified metadata. The step of modifying the metadata comprises modifying a description of a database object characteristic in a metadata object.
57 citations