About: Data element definition is a research topic. Over the lifetime, 312 publications have been published within this topic receiving 6134 citations.
TL;DR: The type of information in metadata for one type of file differs from the type of metadata for another type of a file as discussed by the authors, and the metadata from files created by several different software applications are captured and the captured metadata is searched.
Abstract: Systems and methods for managing data, such as metadata. In one exemplary method, metadata from files created by several different software applications are captured, and the captured metadata is searched. The type of information in metadata for one type of file differs from the type of information in metadata for another type of file. Other methods are described and data processing systems and machine readable media are also described.
TL;DR: In this article, a method, system, and program for query processing is described, and a data structure stored in the computer-readable medium includes data for use by the program.
Abstract: Disclosed is a method, system, and program for query processing. Metadata for a facts metadata object and one or more dimension metadata objects that are associated with the facts metadata object is stored. A view with columns for one or more measures in the facts metadata object and one or more attributes in the one or more dimension metadata objects is constructed. Additional metadata that describes roles of columns in the fact and dimension metadata objects is generated. Also disclosed is a computer-readable medium for storing data for access by a program. A data structure stored in the computer-readable medium includes data for use by the program. The data includes a cube model metadata object that includes a facts metadata object, one or more dimension metadata objects, and one or more join metadata objects that describe how one or more tables in the facts metadata object and one or more tables in the one or more dimension metadata objects are joined. The data also includes a cube metadata object that represents a subset of the cube model metadata object and comprises a view with columns for one or more measures of one of the facts metadata objects and one or more attributes of one or more of the dimension metadata objects and a document that describes roles of columns in the facts metadata object and the one or more dimension metadata objects.
TL;DR: In this paper, a system and method for integrating and accessing multiple data sources within a data warehouse architecture is described, where four types of information are represented by the metadata: abstract concepts, databases, transformations and mappings.
Abstract: A system and method is disclosed for integrating and accessing multiple data sources within a data warehouse architecture. The metadata formed by the present method provide a way to declaratively present domain specific knowledge, obtained by analyzing data sources, in a consistent and useable way. Four types of information are represented by the metadata: abstract concepts, databases, transformations and mappings. A mediator generator automatically generates data management computer code based on the metadata. The resulting code defines a translation library and a mediator class. The translation library provides a data representation for domain specific knowledge represented in a data warehouse, including “get” and “set” methods for attributes that call transformation methods and derive a value of an attribute if it is missing. The mediator class defines methods that take “distinguished” high-level objects as input and traverse their data structures and enter information into the data warehouse.
TL;DR: In this article, a system for associating content data, context data, and an event is described, which allows for a user to search for content data based upon context data.
Abstract: Methods and systems for managing metadata are described. The method comprises steps of receiving a request from an application to access a metadata attribute corresponding to a piece of content, determining whether the application is authorized to access the metadata attribute, retrieving the metadata attribute upon determining that the application is authorized to access the metadata attribute, and transmitting the metadata attribute to the application. A metadata storage medium may be accessed and searched for the metadata attribute. A system for associating content data, context data, and an event is also described. The system allows for a user to search for content data based upon context data. Another method for associating data is described. The method includes steps of initiating a mufti-media call session, initiating an application independent of the mufti-media call session, and associating collected metadata from the application and the mufti-media call session.
TL;DR: In this article, the authors propose a system for generating and maintaining virtual and physical metadata layers in a MetaBase metadata repository in order to simplify and optimize the retrieval of data from a plurality of disparate information sources.
Abstract: The present invention relates to a system (10) for generating and maintaining virtual and physical metadata layers in a MetaBase metadata repository (110b) in order to simplify and optimize the retrieval of data from a plurality of disparate information sources (130a-130c). The system stores in a physical metadata layer of a MetaBase metadata repository a plurality of physical metadata elements, wherein each one of the physical metadata elements corresponds to the metadata elements in the plurality of information sources. Logical metadata elements are stored in the virtual metadata layer and are linked to the physical metadata elements in order to maintain the relationships therebetween. By maintaining the relationships between the physical metadata elements, users can initiate a data query request for data corresponding to a logical metadata element, and the system is configurated to retrieve the desired data from the relevant information sources, even in the event that relevant information sources maintain the data in fields having different data field names, that the information sources employ incompatible data formats, and that the relevant information sources employ different query languages.