scholarly journals The CUBIST Project

2013 ◽  
Vol 9 (4) ◽  
pp. 1-15 ◽  
Author(s):  
Simon Andrews
Keyword(s):  
Business Intelligence ◽  
Visual Analytics ◽  
Information Technologies ◽  
Formal Concept ◽  
Semantic Technologies ◽  
Space Industry ◽  
Description Framework ◽  
Intelligent Information ◽  
User Friendly ◽  
Resource Description

As a preface to this Special 'CUBIST' Edition of the International Journal of Intelligent Information Technologies (IJIIT), this article describes the European Framework Seven Combining and Unifying Business Intelligence with Semantic Technologies (CUBIST) project, which ran from October 2010 to September 2013. The project aimed to combine the best elements of traditional BI with the newer, semantic, technologies of the Sematic Web, in the form of the Resource Description Framework (RDF), and Formal Concept Analysis (FCA). CUBIST's purpose was to provide end-users with “conceptually relevant and user friendly visual analytics” to allow them to explore their data in new ways, discovering hidden meaning and solving hitherto difficult problems. To this end, three of the partners in CUBIST were use-cases: recruitment consultancy, computational biology and the space industry. Each use-case provided their own requirements and problems that were finally addressed by the prototype CUBIST visual-analytics developed in the project.

scholarly journals ANNOTATING DATA WITH MULTIDIMENSIONAL PROPERTIES

2019 ◽  
pp. 249-257
Author(s):  
Yassine Laadidi ◽  
Mohamed Bahaj
Keyword(s):  
Semantic Web ◽  
Business Intelligence ◽  
Data Sources ◽  
Multidimensional Data ◽  
Web Technologies ◽  
External Data ◽  
Description Framework ◽  
Resource Description ◽  
Different Sources ◽  
The Web

The evolution of web technologies and the data we are manipulating announce profound changes on Business Intelligence (BI) systems and open up important researches and innovations particularly in multidimensional data modeling and data integration. The emergence of the semantic Web highlights the need of including external data sources in the BI system. The semantic web came with Resource Description Framework (RDF) model to describe data over the Web by annotating resources with semantics and properties and consequently establishing reasoning mechanisms. However, integrating and/or analyzing information from Wide World Sources still a very challenging process because of their “unpredictability” and heterogeneity. Consequently, the transition to an open BI/SW system is required to handle automatic alteration on structures and enabling discovery of multidimensional entities over multiple Web sources. In this paper, we introduce our prospective approach and architecture for including external data sources in an open BI/SW system and we provide an automatic method aimed to define multidimensional entities and properties over different sources for data acquisition and data analysis requests.

scholarly journals An effective biomedical data migration tool from resource description framework to JSON

Database ◽  
2019 ◽  
Vol 2019 ◽  
Author(s):  
Jian Liu ◽  
Mo Yang ◽  
Lei Zhang ◽  
Weijun Zhou
Keyword(s):  
Resource Description Framework ◽  
Data Migration ◽  
Biomedical Data ◽  
Practical Applications ◽  
Mapping Tool ◽  
Single Nucleotide Polymorphism Database ◽  
Rdf Data ◽  
Description Framework ◽  
User Friendly ◽  
Resource Description

AbstractResource Description Framework (RDF) is widely used for representing biomedical data in practical applications. With the increases of RDF-based applications, there is an emerging requirement of novel architectures to provide effective supports for the future RDF data explosion. Inspired by the success of the new designs in National Center for Biotechnology Information dbSNP (The Single Nucleotide Polymorphism Database) for managing the increasing data volumes using JSON (JavaScript Object Notation), in this paper we present an effective mapping tool that allows data migrations from RDF to JSON for supporting future massive data explosions and releases. We firstly introduce a set of mapping rules, which transform an RDF format into the JSON format, and then present the corresponding transformation algorithm. On this basis, we develop an effective and user-friendly tool called RDF2JSON, which enables automating the process of RDF data extractions and the corresponding JSON data generations.

scholarly journals A Framework for Exploration and Visualization of SPARQL Endpoint Information

2020 ◽  
Vol 1 (1) ◽  
pp. 39-69
Author(s):  
Maria Krommyda
Keyword(s):  
Query Language ◽  
Sparql Query ◽  
Data Schema ◽  
Query Result ◽  
Main Challenge ◽  
Integrated Platform ◽  
Data Provision ◽  
Description Framework ◽  
User Friendly ◽  
Resource Description

Widely accepted standards, such as the Resource Description Framework, have provided unified ways for data provision aiming to facilitate the exchange of information between machines. This information became of interest to a wider audience due to its volume and variety but the available formats are posing significant challenges to users with limited knowledge of the Semantic Web. The SPARQL query language alleviates this barrier by facilitating the exploration of this information and many data providers have created dedicated SPARQL endpoints for their data. Many efforts have been dedicated to the development of systems that will provide access and support the exploration of these endpoints in a semantically correct and user friendly way. The main challenge of such approaches is the diversity of the information contained in the endpoints, which renders holistic or schema specific solutions obsolete. We present here an integrated platform that supports the users to the querying, exploration and visualization of information contained in SPARQL endpoints. The platform handles each query result independently based only on its characteristics, offering an endpoint and data schema agnostic solution. This is achieved through a Decision Support System, developed based on a knowledge base containing information experimentally collected from many endpoints, that allows us to provide case-specific visualization strategies for SPARQL query results based exclusively on features extracted from the result.

Pidgin Metadata Framework as a Mediator for Metadata Interoperability

Libri ◽  
2021 ◽  
Vol 71 (4) ◽  
pp. 375-387
Author(s):  
Seungmin Lee
Keyword(s):  
Structural Characteristics ◽  
Semantic Association ◽  
Semantic Relationships ◽  
Semantic Categories ◽  
External Function ◽  
Layer 2 ◽  
Description Framework ◽  
Internal Function ◽  
Resource Description ◽  
Metadata Interoperability

Abstract A pidgin metadata framework based on the concept of pidgin metadata is proposed to complement the limitations of existing approaches to metadata interoperability and to achieve more reliable metadata interoperability. The framework consists of three layers, with a hierarchical structure, and reflects the semantic and structural characteristics of various metadata. Layer 1 performs both an external function, serving as an anchor for semantic association between metadata elements, and an internal function, providing semantic categories that can encompass detailed elements. Layer 2 is an arbitrary layer composed of substantial elements from existing metadata and performs a function in which different metadata elements describing the same or similar aspects of information resources are associated with the semantic categories of Layer 1. Layer 3 implements the semantic relationships between Layer 1 and Layer 2 through the Resource Description Framework syntax. With this structure, the pidgin metadata framework can establish the criteria for semantic connection between different elements and fully reflect the complexity and heterogeneity among various metadata. Additionally, it is expected to provide a bibliographic environment that can achieve more reliable metadata interoperability than existing approaches by securing the communication between metadata.

scholarly journals COMBINE Archive Specification Version 1

2015 ◽  
Vol 12 (2) ◽  
pp. 104-118 ◽  
Author(s):  
Frank T. Bergmann ◽  
Nicolas Rodriguez ◽  
Nicolas Le Novère
Keyword(s):  
Modeling And Simulation ◽  
Relevant Information ◽  
Essential Information ◽  
Media Type ◽  
Additional Information ◽  
Internet Media ◽  
Metadata File ◽  
Description Framework ◽  
Audit Trails ◽  
Resource Description

Summary Several standard formats have been proposed that can be used to describe models, simulations, data or other essential information in a consistent fashion. These constitute various separate components required to reproduce a given published scientific result.The Open Modeling EXchange format (OMEX) supports the exchange of all the information necessary for a modeling and simulation experiment in biology. An OMEX file is a ZIP container that includes a manifest file, an optional metadata file, and the files describing the model. The manifest is an XML file listing all files included in the archive and their type. The metadata file provides additional information about the archive and its content. Although any format can be used, we recommend an XML serialization of the Resource Description Framework.Together with the other standard formats from the Computational Modeling in Biology Network (COMBINE), OMEX is the basis of the COMBINE Archive. The content of a COMBINE Archive consists of files encoded in COMBINE standards whenever possible, but may include additional files defined by an Internet Media Type. The COMBINE Archive facilitates the reproduction of modeling and simulation experiments in biology by embedding all the relevant information in one file. Having all the information stored and exchanged at once also helps in building activity logs and audit trails.

Resource Description Framework

2017 ◽  
pp. 1-4
Author(s):  
Christian Bizer ◽  
Maria-Esther Vidal ◽  
Michael Weiss
Keyword(s):  
Resource Description Framework ◽  
Description Framework ◽  
Resource Description
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