scholarly journals Linked Data Driven Information Systems as an Enabler for Integrating Financial Data

2011 ◽  
pp. 239-270 ◽  
Author(s):  
Seán O’Riain ◽  
Andreas Harth ◽  
Edward Curry
Keyword(s):  
Semantic Web ◽  
Data Integration ◽  
Information Integration ◽  
Financial Services ◽  
Linked Data ◽  
Financial Data ◽  
Data Sources ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Multiple Data

With increased dependence on efficient use and inclusion of diverse corporate and Web based data sources for business information analysis, financial information providers will increasingly need agile information integration capabilities. Linked Data is a set of technologies and best practices that provide such a level of agility for information integration, access, and use. Current approaches struggle to cope with multiple data sources inclusion in near real-time, and have looked to Semantic Web technologies for assistance with infrastructure access, and dealing with multiple data formats and their vocabularies. This chapter discusses the challenges of financial data integration, provides the component architecture of Web enabled financial data integration and outlines the emergence of a financial ecosystem, based upon existing Web standards usage. Introductions to Semantic Web technologies are given, and the chapter supports this with insight and discussion gathered from multiple financial services use case implementations. Finally, best practice for integrating Web data based on the Linked Data principles and emergent areas are described.

Enabling the Matchmaking of Organizations and Public Procurement Notices by Means of Linked Open Data

2013 ◽  
pp. 105-131 ◽  
Author(s):  
Jose María Alvarez Rodríguez ◽  
José Emilio Labra Gayo ◽  
Patricia Ordoñez de Pablos
Keyword(s):  
Semantic Web ◽  
Linked Data ◽  
Public Procurement ◽  
Open Data ◽  
Specific Information ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Domain Specific ◽  
The Status ◽  
Financial Transactions

The aim of this chapter is to present a proposal and a case study to describe the information about organizations in a standard way using the Linked Data approach. Several models and ontologies have been provided in order to formalize the data, structure and behaviour of organizations. Nevertheless, these tries have not been fully accepted due to some factors: (1) missing pieces to define the status of the organization; (2) tangled parts to specify the structure (concepts and relations) between the elements of the organization; 3) lack of text properties, and other factors. These divergences imply a set of incomplete approaches to formalize data and information about organizations. Taking into account the current trends of applying semantic web technologies and linked data to formalize, aggregate, and share domain specific information, a new model for organizations taking advantage of these initiatives is required in order to overcome existing barriers and exploit the corporate information in a standard way. This work is especially relevant in some senses to: (1) unify existing models to provide a common specification; (2) apply semantic web technologies and the Linked Data approach; (3) provide access to the information via standard protocols, and (4) offer new services that can exploit this information to trace the evolution and behaviour of the organization over time. Finally, this work is interesting to improve the clarity and transparency of some scenarios in which organizations play a key role, like e-procurement, e-health, or financial transactions.

Web Data Quality

2014 ◽  
Vol 10 (2) ◽  
pp. 1-6 ◽  
Author(s):  
Amrapali Zaveri ◽  
Andrea Maurino ◽  
Laure-Berti Equille
Keyword(s):  
Semantic Web ◽  
Data Quality ◽  
Linked Data ◽  
Web Data ◽  
Semantic Web Technologies ◽  
Future Directions ◽  
Web Technologies ◽  
Current State ◽  
Web Of Data ◽  
The Web

The standardization and adoption of Semantic Web technologies has resulted in an unprecedented volume of data being published as Linked Data (LD). However, the “publish first, refine later” philosophy leads to various quality problems arising in the underlying data such as incompleteness, inconsistency and semantic ambiguities. In this article, we describe the current state of Data Quality in the Web of Data along with details of the three papers accepted for the International Journal on Semantic Web and Information Systems' (IJSWIS) Special Issue on Web Data Quality. Additionally, we identify new challenges that are specific to the Web of Data and provide insights into the current progress and future directions for each of those challenges.

Extraction, analysis and publication of bibliographical references within an institutional repository

2016 ◽  
Vol 34 (2) ◽  
pp. 259-267 ◽  
Author(s):  
Götz Hatop
Keyword(s):  
Semantic Web ◽  
Citation Analysis ◽  
Open Source Software ◽  
Linked Data ◽  
Software Components ◽  
Institutional Repository ◽  
Semantic Web Technologies ◽  
Content Type ◽  
Web Technologies ◽  
Reference Information

Purpose – The academic tradition of adding a reference section with references to cited and otherwise related academic material to an article provides a natural starting point for finding links to other publications. These links can then be published as linked data. Natural language processing technologies are available today that can perform the task of bibliographical reference extraction from text. Publishing references by the means of semantic web technologies is a prerequisite for a broader study and analysis of citations and thus can help to improve academic communication in a general sense. The paper aims to discuss these issues. Design/methodology/approach – This paper examines the overall workflow required to extract, analyze and semantically publish bibliographical references within an Institutional Repository with the help of open source software components. Findings – A publication infrastructure where references are available for software agents would enable additional benefits like citation analysis, e.g. the collection of citations of a known paper and the investigation of citation sentiment.The publication of reference information as demonstrated in this article is possible with existing semantic web technologies based on established ontologies and open source software components. Research limitations/implications – Only a limited number of metadata extraction programs have been considered for performance evaluation and reference extraction was tested for journal articles only, whereas Institutional Repositories usually do contain a large number of other material like monographs. Also, citation analysis is in an experimental state and citation sentiment is currently not published at all. For future work, the problem of distributing reference information between repositories is an important problem that needs to be tackled. Originality/value – Publishing reference information as linked data are new within the academic publishing domain.

scholarly journals The 3rd DBCLS BioHackathon: improving life science data integration with Semantic Web technologies

2013 ◽  
Vol 4 (1) ◽  
pp. 6 ◽  
Author(s):  
Toshiaki Katayama ◽  
Mark D Wilkinson ◽  
Gos Micklem ◽  
Shuichi Kawashima ◽  
Atsuko Yamaguchi ◽  
...  
Keyword(s):  
Semantic Web ◽  
Data Integration ◽  
Life Science ◽  
Science Data ◽  
Semantic Web Technologies ◽  
Web Technologies

scholarly journals DISPONIBILIZAÇÃO DE METADADOS EM LINKED DATA PARA REPOSITÓRIOS DIGITAIS

2019 ◽  
Vol 22 (2) ◽  
Author(s):  
Felipe Augusto Arakaki ◽  
Caio Saraiva Coneglian ◽  
Plácida Leopoldina Ventura Amorim da Costa Santos ◽  
José Eduardo Santarem Segundo
Keyword(s):  
Semantic Web ◽  
Linked Data ◽  
Scientific Production ◽  
Data Availability ◽  
Exploratory Research ◽  
Digital Information ◽  
Digital Repository ◽  
Semantic Web Technologies ◽  
Digital Repositories ◽  
Web Technologies

Considerando la expansión de la producción científica en ambientes informacionales digitales y las nuevas formas de disponibilización de datos siguiendo los principios Linked Data, se objetivó discutir posibilidades de relacionamiento de datasets y enriquecimiento semántico de metadatos en repositorios digitales. Adicionalmente, presentar un modelo de conversión de registros en RDF. Es una investigación teórica y exploratoria, que realizó una revisión bibliográfica sobre repositorios digitales y Linked Data. Se demostraron posibilidades del proceso de conversión, con la identificación de bases de datos, vocabularios y estándares que deben ser adoptados para que los datos generados sean enriquecidos semánticamente. El trabajo presenta un modelo que refleja los pasos a ser aplicados durante el proceso de disponibilización de metadatos de un repositorio digital en Linked Data. Se concluye que la integración entre repositorios digitales y las tecnologías de la Web Semántica permite la disponibilización de datos en Linked Data, la cual proporciona nuevos medios para la divulgación y la integración de los recursos en la Web. Considering the expansion of scientific production in digital information environments and the new forms of data availability following the principles of Linked Data, the objective is to discuss possibilities of relationships of datasets and semantic enrichment of metadata in digital repositories and present a model of conversion of records in RDF. It is a theoretical and exploratory research, performing a bibliographic review on digital repositories and Linked Data. In this way, we have demonstrated possibilities of the conversion process, identifying databases, vocabularies and standards that must be adopted so that the generated data is enriched semantically. The work presented a model that reflects the steps that must be taken in the process of making available the metadata of a digital repository in Linked Data. It is concluded that the integration between digital repositories and Semantic Web technologies allows the availability of data in Linked Data, which provides new means for the dissemination and integration of resources on Web.

scholarly journals A hands-on introduction to querying evolutionary relationships across multiple data sources using SPARQL

F1000Research ◽  
2019 ◽  
Vol 8 ◽  
pp. 1822 ◽  
Author(s):  
Ana Claudia Sima ◽  
Christophe Dessimoz ◽  
Kurt Stockinger ◽  
Monique Zahn-Zabal ◽  
Tarcisio Mendes de Farias
Keyword(s):  
Query Language ◽  
Data Sources ◽  
Multiple Sources ◽  
Semantic Web Technologies ◽  
Genome Database ◽  
Web Technologies ◽  
Multiple Data ◽  
Hands On ◽  
Description Framework ◽  
Different Sources

The increasing use of Semantic Web technologies in the life sciences, in particular the use of the Resource Description Framework (RDF) and the RDF query language SPARQL, opens the path for novel integrative analyses, combining information from multiple sources. However, analyzing evolutionary data in RDF is not trivial, due to the steep learning curve required to understand both the data models adopted by different RDF data sources, as well as the SPARQL query language. In this article, we provide a hands-on introduction to querying evolutionary data across multiple sources that publish orthology information in RDF, namely: The Orthologous MAtrix (OMA), the European Bioinformatics Institute (EBI) RDF platform, the Database of Orthologous Groups (OrthoDB) and the Microbial Genome Database (MBGD). We present four protocols in increasing order of complexity. In these protocols, we demonstrate through SPARQL queries how to retrieve pairwise orthologs, homologous groups, and hierarchical orthologous groups. Finally, we show how orthology information in different sources can be compared, through the use of federated SPARQL queries.

Capturing the Semantics of Simulation Learning with Linked Data

Gamification ◽  
2015 ◽  
pp. 273-295 ◽  
Author(s):  
Irene Celino ◽  
Daniele Dell'Aglio
Keyword(s):  
Semantic Web ◽  
Learning Environments ◽  
Serious Games ◽  
Linked Data ◽  
Daily Practice ◽  
Learning System ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Simulation Learning ◽  
Learning Data

Knowledge-rich learning environments like simulation learning sessions call for the adoption of knowledge technologies to effectively manage information and data related to the learning supply and to the observation analysis. In this chapter, the authors illustrate the benefits and the challenges from the adoption of Linked Data and Semantic Web technologies to model, store, update, collect, and interpret learning data in simulation environments. The experience gained in applying this approach to a Simulation Learning system based on Serious Games proves the feasibility and the advantages of knowledge technologies in addressing and solving the issues faced by trainers and teachers in their daily practice.

scholarly journals Editorial: Special issue on Semantic Web for Cultural Heritage

Semantic Web ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 163-167
Author(s):  
Antonis Bikakis ◽  
Eero Hyvönen ◽  
Stéphane Jean ◽  
Béatrice Markhoff ◽  
Alessandro Mosca
Keyword(s):  
Semantic Web ◽  
Cultural Heritage ◽  
Linked Data ◽  
Wide Spectrum ◽  
Special Issue ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Editorial Special Issue ◽  
Major Application ◽  
Application Fields

Cultural Heritage and Digital Humanities have become major application fields of Linked Data and Semantic Web technologies. This editorial introduces the special issue of the Semantic Web (SWJ) journal on Semantic Web for Cultural Heritage. In total 30 submissions for the call of papers were received, of which 11 were selected for publication. The papers cover a wide spectrum of modelled topics related to language, reading and writing, narratives, historical events and cultural artefacts, while describing reusable methodologies and tools for cultural data management. This issue indicates and demonstrates the high potential of Semantic Web technologies for applications in the Cultural Heritage domain.

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