scholarly journals SEMANTIC WEB TECHNOLOGIES MEET BIM FOR ACCESSING AND UNDERSTANDING CULTURAL HERITAGE

2019 ◽  
Vol XLII-2/W9 ◽  
pp. 381-388 ◽  
Author(s):  
E. Iadanza ◽  
F. Maietti ◽  
A. E. Ziri ◽  
R. Di Giulio ◽  
M. Medici ◽  
...  
Keyword(s):  
Semantic Web ◽  
Cultural Heritage ◽  
3D Models ◽  
Information Modeling ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Web Standards ◽  
Semantic Modelling ◽  
Building Information ◽  
Funded Project

<p><strong>Abstract.</strong> Within the EU funded project INCEPTION &amp;ndash; <i>Inclusive Cultural Heritage in Europe through 3D semantic modelling</i>, the key-targeted achievement is the development of a specific cloud based platform, in order to accomplish the main objectives of accessing, understanding and strengthening European Cultural Heritage by means of enriched 3D models. The whole INCEPTION project is based on the close connection between state-of-the-art architectural modeling technologies (BIM, Building Information Modeling) and the latest cutting-edge web technologies. The platform is grounded on semantic web technologies and makes extensive use of WebGL and RESTful APIs, in order to enrich heritage 3D models by using Semantic Web standards. The INCEPTION platform will be a space for interchange of information and for the dialogue among professionals, students, scholars, curators, non-expert users, etc. Furthermore, the Semantic Web structure interlinks the platform with external Cultural Heritage available linked data and makes it gradually enhanced by specific flexible data structures provided as project specific ontologies. The paper will describe solutions based on the match between BIM, Cloud and Semantic Web.</p>

scholarly journals Accessing biological data in R with semantic web technologies

2014 ◽  
Author(s):  
Egon Willighagen
Keyword(s):  
Semantic Web ◽  
Brca1 Gene ◽  
Database Systems ◽  
Biological Data ◽  
Biological Database ◽  
Semantic Web Technologies ◽  
Data Set ◽  
Web Technologies ◽  
Web Standards ◽  
Rdf Data

Background. Semantic Web technologies are increasingly used in biological database systems. The improved expressiveness show advantages in tracking provenance and allowing knowledge to be more explicitly annotated. The list of semantic web standards needs a complementary set of tools to handle data in those formats to use them in bioinformatics workflows. Methods. The approach proposed in this paper uses the Apache Jena library to create an environment where semantic web technologies can be use in the statistical environment R. The code is exposed as two R packages available from the Comprehensive R Archive Network (CRAN). The RJava library and a custom convenience class is used to bridge between R and the Jena library. Results. We here present two examples showing how the Resource Description Framework (RDF) and SPARQL query standards can be employed in R. The first example takes input on BRCA1 SNPs from a BioMart and converts this into a RDF data set. The second example runs a query on an experimental remote SPARQL end point provided by Uniprot, and searches textual annotations of proteins encoded by the BRCA1 gene. The third example shows how the package can be used to handle RDF returned by OpenTox web services. Discussion. The two provided library bring basic semantic web technologies to R. While only a subset of Apache Jena is currently exposed, it provides key methods to deal with RDF data and resources. The libraries are freely available from the CRAN under the Affero GNU Public License version 3: http://cran.r-project.org/web/packages/rrdf/.

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.

scholarly journals INTEGRATED DATA CAPTURING REQUIREMENTS FOR 3D SEMANTIC MODELLING OF CULTURAL HERITAGE: THE INCEPTION PROTOCOL

2017 ◽  
Vol XLII-2/W3 ◽  
pp. 251-257 ◽  
Author(s):  
R. Di Giulio ◽  
F. Maietti ◽  
E. Piaia ◽  
M. Medici ◽  
F. Ferrari ◽  
...  
Keyword(s):  
Cultural Heritage ◽  
3D Models ◽  
Web Based ◽  
Heritage Sites ◽  
Semantic Modelling ◽  
Complex Architectures ◽  
Data Capturing ◽  
Funded Project ◽  
Set Up ◽  
3D Digitization

The generation of high quality 3D models can be still very time-consuming and expensive, and the outcome of digital reconstructions is frequently provided in formats that are not interoperable, and therefore cannot be easily accessed. This challenge is even more crucial for complex architectures and large heritage sites, which involve a large amount of data to be acquired, managed and enriched by metadata. <br><br> In this framework, the ongoing EU funded project INCEPTION – <i>Inclusive Cultural Heritage in Europe through 3D semantic modelling</i> proposes a workflow aimed at the achievements of efficient 3D digitization methods, post-processing tools for an enriched semantic modelling, web-based solutions and applications to ensure a wide access to experts and non-experts. In order to face these challenges and to start solving the issue of the large amount of captured data and time-consuming processes in the production of 3D digital models, an Optimized Data Acquisition Protocol (DAP) has been set up. The purpose is to guide the processes of digitization of cultural heritage, respecting needs, requirements and specificities of cultural assets.

Personalizing News Services Using Semantic Web Technologies

2011 ◽  
pp. 261-289 ◽  
Author(s):  
Flavius Frasincar ◽  
Jethro Borsje ◽  
Frederik Hogenboom
Keyword(s):  
Semantic Web ◽  
Knowledge Base ◽  
Language Processing ◽  
Word Sense Disambiguation ◽  
Word Sense ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Web Standards ◽  
Processing Techniques ◽  
News Services

This chapter describes Hermes, a framework for building personalized news services using Semantic Web technologies. The Hermes framework consists of four phases: classification, which categorizes news items with respect to a domain ontology, knowledge base updating, which keeps the knowledge base up-to-date based on the news information, news querying, which allows the user to search the news with concepts of interest, and results presentation, which shows the news results of the search process. Hermes is supported by a framework implementation, the Hermes News Portal, a tool that enables users to have a personalized access to news items. The Hermes framework and its associated implementation aim at advancing the state-of-the-art of semantic approaches for personalized news services by employing Semantic Web standards, exploiting and keeping up-to-date domain information, using advanced natural language processing techniques (e.g., ontology-based gazetteering, word sense disambiguation, etc.), and supporting time-based queries for expressing the desired news items.

Interconnecting music repositories with semantic web technologies—an RDF- and schema.org-based approach

2020 ◽  
Author(s):  
Anna Neovesky ◽  
Frederic von Vlahovits
Keyword(s):  
Semantic Web ◽  
Research Data ◽  
Semantic Web Technologies ◽  
Metadata Standard ◽  
Web Technologies ◽  
Data Standard ◽  
Research Perspectives ◽  
Web Standards ◽  
Research Questions ◽  
New Research

Abstract The growing amount of openly available research data enables various possibilities of reuse. Data can be analyzed, visualized, or even further processed, enriched, and combined with other sources to enable new research questions and a different view on the material. Several catalogues and research tools aggregate collections on specific topics to make them searchable and reusable. To be able to bring together different collections, a common data standard is necessary. This article discusses how semantic web technologies can be used to connect digital as well as analogue music catalogues and music editions. The article first discusses how music can be searched using its characteristic melody and presents the approach of the open-source search engine for music incipits, IncipitSearch. Subsequently, the advantages of semantic web standards for musicology are highlighted. Then, the underlying RDF- and schema.org-based metadata standard, which is used to aggregate and distribute the data, is discussed. The article concludes with an outlook on research perspectives for digital musicology and musicology in general.

scholarly journals Accessing biological data with semantic web technologies

2013 ◽  
Author(s):  
Egon Willighagen
Keyword(s):  
Semantic Web ◽  
Brca1 Gene ◽  
Database Systems ◽  
Biological Data ◽  
Biological Database ◽  
Semantic Web Technologies ◽  
Data Set ◽  
Web Technologies ◽  
Web Standards ◽  
Rdf Data

Background. Semantic Web technologies are increasingly used in biological database systems. The improved expressiveness show advantages in tracking provenance and allowing knowledge to be more explicitly annotated. The list of semantic web standards needs a complementary set of tools to handle data in those formats to use them in bioinformatics workflows. Methods. The approach proposed in this paper uses the Apache Jena library to create an environment where semantic web technologies can be use in the statistical environment R. The code is exposed as two R packages available from the Comprehensive R Archive Network (CRAN). The RJava library and a custom convenience class is used to bridge between R and the Jena library. Results. We here present two examples showing how the Resource Description Framework (RDF) and SPARQL query standards can be employed in R. The first example takes input on BRCA1 SNPs from a BioMart and converts this into a RDF data set. The second example runs a query on an experimental remote SPARQL end point provided by Uniprot, and searches textual annotations of proteins encoded by the BRCA1 gene. Discussion. The two provided library bring basic semantic web technologies to R. While only a subset of Apache Jena is currently exposed, it provides key methods to deal with RDF data and resources. The libraries are freely available from the CRAN under the Affero GNU Public License version 3: http://cran.r-project.org/web/packages/rrdf/.

scholarly journals Accessing biological data in R with semantic web technologies

2014 ◽  
Author(s):  
Egon Willighagen
Keyword(s):  
Semantic Web ◽  
Brca1 Gene ◽  
Database Systems ◽  
Biological Data ◽  
Biological Database ◽  
Semantic Web Technologies ◽  
Data Set ◽  
Web Technologies ◽  
Web Standards ◽  
Description Framework

Background. Semantic Web technologies are increasingly used in biological database systems. The improved expressiveness shows advantages in tracking provenance and allowing knowledge to be more explicitly annotated. The list of semantic web standards needs a complementary set of tools to handle data in those formats to use them in bioinformatics workflows. Methods. The approach proposed in this paper uses the Apache Jena library to create an environment where semantic web technologies can be used in the statistical environment R. The code is exposed as two R packages available from the Comprehensive R Archive Network (CRAN). The RJava library and a custom convenience class is used to bridge between R and the Jena library. Results. We here present three examples showing how the Resource Description Framework (RDF) and SPARQL query standards can be employed in R. The first example takes input on BRCA1 SNPs from a BioMart and converts this into a RDF data set. The second example runs a query on an experimental remote SPARQL end point provided by Uniprot, and searches textual annotations of proteins encoded by the BRCA1 gene. The third example shows how the package can be used to handle RDF returned by OpenTox web services. Discussion. The two provided library bring basic semantic web technologies to R. This paper only shows examples from the biology domain, but we believe the approaches are generally applicable. It currently only exposes a subset of key Apache Jena, but the rrdf package makes it easy to make more of the library's functionality, such as the shortest path finding. The rrdf libraries are freely available from the CRAN under the Affero GNU Public License version 3: http://cran.r-project.org/web/packages/rrdf/.

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