Metadata repository

About: Metadata repository is a research topic. Over the lifetime, 5841 publications have been published within this topic receiving 121778 citations.

A universal framework for managing metadata in the distributed Dragon Slayer system

Abstract: In the multimedia field, metadata are becoming increasingly important for efficiently cataloguing the abundant flood of information. (Metadata are data on information structures.) The number of electronic data files made accessible by metadata increases rapidly, however at the present retrieving textual, audio, video and/or mixed data files through metadata is definitely restricted. In particular, there is only a limited number of metadata formats at hand. Nevertheless, within the framework of testbeds, some efforts have been made not only to develop retrieval systems adjusted to the respective field of application, but also to unite several metadata formats into one system in order to obtain better search results. This paper describes specifications for developing an attribute service which, as part of the "Dragon Slayer" distributed file system, is intended to offer a uniform platform for different metadata formats, and to offer efficient information metadata retrieval. Via the interface provided by the Dragon Slayer file system, the user can assign metadata to files and reference them via these metadata. For each metadata format used, an external meta module is incorporated into the file system which, depending on its format, manages and searches for metadata in a database, according to their format.

Semantic sensor data search in a large-scale federated sensor network

Abstract: Sensor network deployments are a primary source of massive amounts of data about the real world that surrounds us, measuring a wide range of physical properties in real time However, in large-scale deployments it becomes hard to effectively exploit the data captured by the sensors, since there is no precise information about what devices are available and what properties they measure Even when metadata is available, users need to know low-level details such as database schemas or names of properties that are specific to a device or platform Therefore the task of coherently searching, correlating and combining sensor data becomes very challenging We propose an ontology-based approach, that consists in exposing sensor observations in terms of ontologies enriched with semantic metadata, providing information such as: which sensor recorded what, where, when, and in which conditions For this, we allow defining virtual semantic streams, whose ontological terms are related to the underlying sensor data schemas through declarative mappings, and can be queried in terms of a high level sensor network ontology

Secure proxying using network intermediaries

Abstract: Methods and apparatus for secure proxying using network intermediaries. A system may include one or more servers and a network intermediary. The network intermediary may generate security metadata associated with a client request, comprising an identification of a source of the client request, and transmit an encoded version of the security metadata and a backend request to a server. The server may determine whether the security metadata is valid. If the security metadata is validated, the server may perform one or more operations in accordance with the backend request and the security metadata.

Method and system for an object model with embedded metadata and mapping information

Abstract: Metadata is obtained from a database and provided to an object model that uses the database for persisting the state of its objects. The metadata provides the object model with constraints, size limits, or other limiting information about a database so that the object model can anticipate and handle potential errors that could occur at the database level. Rather than keeping the metadata embedded within the database, the object model obtains access to the metadata and can adopt policies for dealing with those constraints and limits. In addition, the object model is also provided with heuristics that can be applied to storage processing of attributes. In this manner, the object model becomes metadata-aware and can handle database operations more intelligently and thus propagate fewer errors to the client.

Metadata management for a data abstraction model

Abstract: A method, system and article of manufacture for managing metadata associated with a data abstraction model abstractly describing data in a database. One embodiment provides a method of managing metadata describing objects of a data abstraction model with logical fields that define abstract views of physical data in a database. The method comprises traversing a logical tree structure representing the data abstraction model. The logical tree structure has a plurality of nodes, each representing a logical field or a category of logical fields of the data abstraction model. The method further comprises identifying metadata describing logical fields or categories represented by the plurality of nodes. The identified metadata is stored in a queryable database. A user is allowed to query the database to identify objects in the data abstraction model that may be used to construct an abstract query.