1,721,142 research outputs found
From Data Quality to Big Data Quality: A Data Integration Scenario.
No full textBig data has made its appearance in many fields, including scientific research, business, public administration and so on. Although, it is acknowledged that there exist different aspects (e.g., acquisition of
data, extraction, pre-processing, analysis modelling and functionality, interpretation, etc.) that might
affect the benefit of such data, several authors identify data quality as the most decisive one. More
recently, a variety of data types have arisen from linguistic and visual information, used and diffused
through social networks, Internet of things, enterprise and public sector information systems as well
as the Web. The big data phenomenon has deeply impacted on the diversity of types of data. In our
previous work, we provided a deep investigation on how data quality concepts can be extended to such
vast set of data types, encompassing, e.g., semi-structured texts, maps, images and linked data. In this
work, we focus on Linked Data, a type of data that can be viewed as big data and study the effect of data
quality in a data integration scenario
Putting open data to the test of life: conceptual schemas as a means to compare and measure social value
No full textIn a previous paper, we have investigated the different di- mensions of a classificatory framework suitable to support the assess- ment and benchmarking of the social value of open data initiatives. In this paper, we propose a methodology that compares and evaluates open data social value, and we apply it to the specific domain of hospital care. Through this case study we advocate that social value can be analyzed within a spectrum of measures going from intensional completeness to subjective meaning. We first suggest that open data made available on- line by an organization can be modelled in terms of the corresponding integrated conceptual schema, as a uniform construct. Then, a global schema is created with the integrated schemas, and intensional as well as extensional social value on data can be defined. Valuable information is then extracted from queries based on such constructs, and which may result useful in the different contexts and related needs that users may experience in the domain of health. Finally, we propose a psycho-metric questionnaire to assess the perceived value of the information extracted from open data schemas through the above queries, and applied to dif- ferent scenarios. In this way, we propose to compare and measure the social value of different open data initiatives, as it results from the anal- ysis of the information that can be modelled and extracted from their conceptual schemas, from the quality of their instances, and from the subjective perception of their valuable information in different contexts and for different needs
INCOD: A System for Interactive Conceptual Data Base Design
No full textA description is given of the general structure of a computer aided system for Interactive Conceptual Design (INCOD) of Data Bases. First of all, motivations are given for a system as INCOD that allows the incremental definition of a conceptual schema of a Data Base according both to a top-down and a bottom-up strategy. Afterward, the general features, functions and architecture of the system are described
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