Data access

About: Data access is a research topic. Over the lifetime, 13141 publications have been published within this topic receiving 172859 citations. The topic is also known as: Data access.

A transient hypergraph-based model for data access

Abstract: Two major methods of accessing data in current database systems are querying and browsing. The more traditional query method returns an answer set that may consist of data values (DBMS), items containing the answer (full text), or items referring the user to items containing the answer (bibliographic). Browsing within a database, as best exemplified by hypertext systems, consists of viewing a database item and linking to related items on the basis of some attribute or attribute value.A model of data access has been developed that supports both query and browse access methods. The model is based on hypergraph representation of data instances. The hyperedges and nodes are manipulated through a set of operators to compose new nodes and to instantiate new links dynamically, resulting in transient hypergraphs. These transient hypergraphs are virtual structures created in response to user queries, and lasting only as long as the query session. The model provides a framework for general data access that accommodates user-directed browsing and querying, as well as traditional models of information and data retrieval, such as the Boolean, vector space, and probabilistic models. Finally, the relational database model is shown to provide a reasonable platform for the implementation of this transient hypergraph-based model of data access.

Programming model for application and data access and synchronization within virtual environments

Abstract: Applications executing on computer systems may execute in a virtual environment, such as a web application executing in a web browser. An application may access the actual computing environment (such as the filesystem), but this accessing may be complicated; e.g., the computing environment may be deployed across many computers and devices, and may be synchronized for offline access via a local cache. A computing environment component may service the complex computing environment (e.g., by managing the cache and retrieving remotely stored data objects) and expose it as a well-organized set of data objects. A virtual environment interface (e.g., a web browser plug-in) may allow applications hosted in the virtual environment to access the computing environment through the computing environment component. Programmatic interfaces may also be implemented to permit such accessing via familiar programming languages and techniques, such as JavaScript libraries exposed to web applications in the web browser.

Planning support : Hardware and software in search of a system

Abstract: Urban planning has adopted a variety of modeling and data manipulation technologies over the last 30 years Computer products such as traffic modelers, geographic information systems, and multimedia have been brought into planning organisations to perform specific tasks More recently, the developers of software that support planning have begun to look towards integration of various operations and have begun referring to their products as planning support systems (PSS) In general, however, PSS remain a specific purpose tool, or a set of tools, loosely coupled to provide for a small range of operations In general there is little system This paper reviews current trends in spatial hardware and software development, and suggests that at this stage we have considerable utility but little system It goes on to suggest that the potential for the emergence of true `systems' does exist The key is effective integration which gives the system operator common access to data and smooth transition between systems modules

A Survey of Context-Aware Access Control Mechanisms for Cloud and Fog Networks: Taxonomy and Open Research Issues.

Abstract: Over the last few decades, the proliferation of the Internet of Things (IoT) has produced an overwhelming flow of data and services, which has shifted the access control paradigm from a fixed desktop environment to dynamic cloud environments. Fog computing is associated with a new access control paradigm to reduce the overhead costs by moving the execution of application logic from the centre of the cloud data sources to the periphery of the IoT-oriented sensor networks. Indeed, accessing information and data resources from a variety of IoT sources has been plagued with inherent problems such as data heterogeneity, privacy, security and computational overheads. This paper presents an extensive survey of security, privacy and access control research, while highlighting several specific concerns in a wide range of contextual conditions (e.g., spatial, temporal and environmental contexts) which are gaining a lot of momentum in the area of industrial sensor and cloud networks. We present different taxonomies, such as contextual conditions and authorization models, based on the key issues in this area and discuss the existing context-sensitive access control approaches to tackle the aforementioned issues. With the aim of reducing administrative and computational overheads in the IoT sensor networks, we propose a new generation of Fog-Based Context-Aware Access Control (FB-CAAC) framework, combining the benefits of the cloud, IoT and context-aware computing; and ensuring proper access control and security at the edge of the end-devices. Our goal is not only to control context-sensitive access to data resources in the cloud, but also to move the execution of an application logic from the cloud-level to an intermediary-level where necessary, through adding computational nodes at the edge of the IoT sensor network. A discussion of some open research issues pertaining to context-sensitive access control to data resources is provided, including several real-world case studies. We conclude the paper with an in-depth analysis of the research challenges that have not been adequately addressed in the literature and highlight directions for future work that has not been well aligned with currently available research.

Identity-centric data access

Abstract: A model for accessing data in an identity-centric manner. An identity may be a user, a group of users, or an organization. Instead of data being maintained on an application-by-application basis, the data associated with a particular identity is stored by one or more data services accessible by many applications. The data is stored in accordance with a schema that is recognized by a number of different applications and the data service. When a user is to perform an operation on the identity's data, the corresponding application generates a message that has a structure that is recognized by the data service. The message represents a request to perform an operation on the data structure corresponding to the identity. The data service receives and interprets the message. If authorized, the data service then performs the operation.