scholarly journals Re-constructing Hidden Semantic Data Models by Querying SPARQL Endpoints

2016 ◽  
pp. 405-415
Author(s):  
María Jesús García-Godoy ◽  
Esteban López-Camacho ◽  
Ismael Navas-Delgado ◽  
José F. Aldana-Montes
Keyword(s):  
Data Models ◽  
Semantic Data

A Meta-Analysis Comparing Relational and Semantic Models

2013 ◽  
pp. 394-409
Author(s):  
Keng Siau ◽  
Fiona F.H. Nah ◽  
Qing Cao
Keyword(s):  
Statistical Power ◽  
Meta Analysis ◽  
Data Modeling ◽  
Systems Development ◽  
Data Models ◽  
The Past ◽  
Semantic Data ◽  
Semantic Models ◽  
Semantic Data Modeling

Data modeling is the sine quo non of systems development and one of the most widely researched topics in the database literature. In the past three decades, semantic data modeling has emerged as an alternative to traditional relational modeling. The majority of the research in data modeling suggests that the use of semantic data models leads to better performance; however, the findings are not conclusive and are sometimes inconsistent. The discrepancies that exist in the data modeling literature and the relatively low statistical power in the studies make meta-analysis a viable choice in analyzing and integrating the findings of these studies.

Model Transformations in Designing the ASSO Methodology

2011 ◽  
pp. 283-302 ◽  
Author(s):  
Elvira Locuratolo
Keyword(s):  
Formal Method ◽  
Dynamic Modelling ◽  
Data Models ◽  
Model Transformations ◽  
Conceptual Schema ◽  
Behavioural Modelling ◽  
Semantic Data ◽  
Object Models ◽  
Consistency Proofs ◽  
Formal Mapping

ASSO, an innovative conceptual methodology which combines features of database design with the formal method B, has been defined in order to ensure the flexibility of semantic data models, the efficiency of object models and design correctness. Starting from a directed acyclic graph of classes supported by semantic data models, a formal mapping generates classes supported by object models. The classes supported by semantic data models are then extended with aspects of behavioural modelling: a relationship with the B model is established and the consistency proofs of the whole schema are reduced to small obligations of B. This chapter evidences how ASSO is based on model transformations. These have been introduced with various purposes: to map semantic data models to object models, to integrate static and dynamic modelling, to link formal and informal notations and to relate the conceptual schema and the logical schema of the methodology.

scholarly journals Aggregation of Linked Data in the Cultural Heritage Domain: A Case Study in the Europeana Network

Information ◽  
2019 ◽  
Vol 10 (8) ◽  
pp. 252 ◽  
Author(s):  
Nuno Freire ◽  
René Voorburg ◽  
Roland Cornelissen ◽  
Sjors de Valk ◽  
Enno Meijers ◽  
...  
Keyword(s):  
Cultural Heritage ◽  
Digital Libraries ◽  
Linked Data ◽  
Data Models ◽  
Point Of View ◽  
Functional Requirements ◽  
Major Activity ◽  
Semantic Data ◽  
Metadata Aggregation

Online cultural heritage resources are widely available through digital libraries maintained by numerous organizations. In order to improve discoverability in cultural heritage, the typical approach is metadata aggregation, a method where centralized efforts such as Europeana improve the discoverability by collecting resource metadata. The redefinition of the traditional data models for cultural heritage resources into data models based on semantic technology has been a major activity of the cultural heritage community. Yet, linked data may bring new innovation opportunities for cultural heritage metadata aggregation. We present the outcomes of a case study that we conducted within the Europeana cultural heritage network. In this study, the National Library of The Netherlands contributed by providing the role of data provider, while the Dutch Digital Heritage Network contributed as an intermediary aggregator that aggregates datasets and provides them to Europeana, the central aggregator. We identified and analyzed the requirements for an aggregation solution for the linked data, guided by current aggregation practices of the Europeana network. These requirements guided the definition of a workflow that fulfils the same functional requirements as the existing one. The workflow was put into practice within this study and has led to the development of software applications for administrating datasets, crawling the web of data, harvesting linked data, data analysis and data integration. We present our analysis of the study outcomes and analyze the effort necessary, in terms of technology adoption, to establish a linked data approach, from the point of view of both data providers and aggregators. We also present the expertise requirements we identified for cultural heritage data analysts, as well as determining which supporting tools were required to be designed specifically for semantic data.

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