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.

Partition access control system and method for controlling partition access

Abstract: An access control system (10)is disclosed for controlling access to data stored on at least one data storage medium (14)of a computing system. The access control system (10)comprises authentication means (25) to authenticate users permitted to access data stored in the at least one data storage medium (14) and database means (29)arranged to store data access profiles. Each data access profile is associated with a user permitted to access data stored in the at least one data storage medium (14), each data access profile includes information indicative of the degree of access permitted by a user to data stored in the at least one data storage medium (14), and each data access profile includes a master data access profile (M)and a current data access profile (C). The current data access profile (C) is modifiable within parameters defined by the master data access profile (M).

Capturing and Querying Multiple Aspects of Semistructured Data

Abstract: Motivated to a large extent by the substantial and growing prominence of the World-Wide Web and the potential benefits that may be obtained by applying database concepts and techniques to web data management, new data models and query languages have emerged that contend with web data. These models organize data in graphs where nodes denote objects or values and edges are labeled with single words or phrases. Nodes are described by the labels of the paths that lead to them, and these descriptions serve as the basis for querying. This paper proposes an extensible framework for capturing and querying meta-data properties in a semistructured data model. Properties such as temporal aspects of data, prices associated with data access, quality ratings associated with the data, and access restrictions on the data are considered. Specifically, the paper defines an extensible data model and an accompanying query language that provides new facilities for matching, slicing, collapsing, and coalescing properties. It also briefly introduces an implemented, SQLlike query language for the extended data model that includes additional constructs for the effective querying of graphs with properties.

How To Kill Inventors: Testing The Massacrator© Algorithm For Inventor Disambiguation

Abstract: Inventor disambiguation is an increasingly important issue for users of patent data. We propose and test a number of refinements to the Massacrator© algorithm, originally proposed by Lissoni et al. (2006) and now applied to APE-INV, a free access database funded by the European Science Foundation. Following Raffo and Lhuillery (2009) we describe disambiguation as a 3-step process: cleaning&parsing, matching, and filtering. By means of sensitivity analysis, based on MonteCarlo simulations, we show how various filtering criteria can be manipulated in order to obtain optimal combinations of precision and recall (type I and type II errors). We also show how these different combinations generate different results for applications to studies on inventors\' productivity, mobility, and networking. The filtering criteria based upon information on inventors\' addresses are sensitive to data quality, while those based upon information on co-inventorship networks are always effective. Details on data access and data quality improvement via feedback collection are also discussed.

Object oriented data access and analysis system

Abstract: A system for accessing and analyzing data through a central processing unit. The system includes a non-modal user interface to provide a user access to the system. A number of application graphics objects allow the user to visually interact with a plurality of analysis objects through the non-modal user interface. The plurality of application analysis objects allow a user to interactively create an analysis network for analyzing one or more databases. A plurality of application data access objects interpret the analysis network and allow the system to access required databases and to generate structure query language required to access and analyze the databases as defined within the analysis network.

Systems and methods for validated secure data access

Abstract: Methods, systems, and techniques for securing access to stored data are provided. Example embodiments provide a Storage Management System (“SMS”) that is configured to facilitate protected information sharing. The SMS may restrict access to shared information based on one or more criteria that validate an entity's right to access the information. For example, the SMS may restrict access to entities that are located in a particular geographic region, that are using a particular type of hardware or software, that hold particular credentials, or the like. In some cases, the SMS may require that an entity's claim to meet on or more required criteria be validated by a trusted third party.