Sustainable Linked Data Generation: The Case of DBpedia

2017 ◽  
pp. 297-313
Author(s):  
Wouter Maroy ◽  
Anastasia Dimou ◽  
Dimitris Kontokostas ◽  
Ben De Meester ◽  
Ruben Verborgh ◽  
...  
Keyword(s):  
Linked Data ◽  
Data Generation

scholarly journals ILastic: Linked Data Generation Workflow and User Interface for iMinds Scholarly Data

2018 ◽  
pp. 15-32
Author(s):  
Anastasia Dimou ◽  
Gerald Haesendonck ◽  
Martin Vanbrabant ◽  
Laurens De Vocht ◽  
Ruben Verborgh ◽  
...  
Keyword(s):  
User Interface ◽  
Linked Data ◽  
Data Generation ◽  
Scholarly Data

A case study for block-based linked data generation: Recipes as jigsaw puzzles

2019 ◽  
Vol 46 (3) ◽  
pp. 419-433 ◽  
Author(s):  
Övünç Öztürk ◽  
Tuğba Özacar
Keyword(s):  
Linked Data ◽  
Heterogeneous Systems ◽  
Data Repository ◽  
Data Generation ◽  
Text Input ◽  
Ontology Language ◽  
Data Generator ◽  
System Usability Scale ◽  
The Masses

This article is a proof-of-concept case study to evaluate the functionality of a block metaphor–based linked data generator. In this work, we chose to produce linked data repository of recipes, which provide a medium for people to share their regional and healthy recipes with the masses. However, the same approach can also be adapted easily to other domains. Therefore, the applicability of our approach extends well beyond the food domain that we are considering in this article. As a medium for information sharing and understanding between heterogeneous systems, ontologies will play an important role in the realisation of the Internet of things (IoT) vision. Therefore, an ontology-based recipe repository would also be one of the basic blocks of a smart kitchen environment. However, building ontologies is a challenging task, especially for users who are not conversant in the ontology building languages. This article proposes an approach that can be used even by non-experts and facilitates the sharing and searching of recipe data. In our case, we exploit the features of the block paradigm to publish recipes in Linked Data format. In this way, users do not have to know the OWL (Web Ontology Language) syntax and the text input is kept minimal. As far as we know, this article is the first study that produces linked data using Blockly in the literature. We also conducted a user-based evaluation of the proposed approach using the System Usability Scale (SUS) questionnaire.

scholarly journals Linked Data Generation for the University Data From Legacy Database

2011 ◽  
Vol 2 (3) ◽  
pp. 21-31 ◽  
Author(s):  
Arup Sarkar ◽  
Ujjal Marjit ◽  
Utpal Biswas
Keyword(s):  
Linked Data ◽  
Data Generation ◽  
The University

scholarly journals Polysemy and Synonymy Detection in Ontology Engineering

2020 ◽  
Vol 17 ◽  
Keyword(s):  
Linked Data ◽  
Semantic Analysis ◽  
Ontology Engineering ◽  
Data Generation ◽  
Knowledge Domain ◽  
Knowledge Resources ◽  
Knowledge Domains ◽  
Single Term ◽  
Semantic Associations ◽  
Value Decomposition

Polysemy, when a single term has multiple meanings, and synonymy, when multiple terms have the same meaning, are common phenomena in linguistics as well as in scientific knowledge. In ontology engineering, it is vital to detect the synonyms annotations and the multiple inheritances because of polysemy. The persistence of these issues in the semantic description of a knowledge domain causes problematic interoperability and data processing. The disambiguation of the entities, properties and relationships sense in a semantic web ontology significantly improves linked data generation and information retrieval. We explore the synonymy and polysemy in the setting of a cardiology terminology generated from textbooks on the basis of field coverage, professionals’ associations’ recommendations and bibliometrics, for the building of a cardiologic ontology. From 56,134 terms collected we found that 67.7% were unique. The indexed terms included single words, compound words and multi-word expressions. The frequency of their appearances in the combined master index was calculated and used as a marker of their significance. To cope with the linguistic polysemy and synonymy of terms, we examined them in WordNet, MeSH and BioPortal, as well as by latent semantic analysis (LSA) through singular value decomposition (SVD). Through these approaches we managed to identify and decipher semantic associations and relationships between the terms. We proposed a roadmap for ontology building from scratch by utilizing intrinsic and extrinsic knowledge resources and reuse of metadata. We anticipate that this approach is applicable in ontology engineering of different knowledge domains for relationships setting and linked data contextualization

scholarly journals Guidelines for Linked Data generation and publication: An example in building energy consumption

2015 ◽  
Vol 57 ◽  
pp. 178-187 ◽  
Author(s):  
Filip Radulovic ◽  
María Poveda-Villalón ◽  
Daniel Vila-Suero ◽  
Víctor Rodríguez-Doncel ◽  
Raúl García-Castro ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Linked Data ◽  
Building Energy ◽  
Data Generation ◽  
Building Energy Consumption

BIM-linked data integration for asset management

2019 ◽  
Vol 9 (4) ◽  
pp. 489-502 ◽  
Author(s):  
Karim Farghaly ◽  
F.H. Abanda ◽  
Christos Vidalakis ◽  
Graham Wood
Keyword(s):  
Data Integration ◽  
Asset Management ◽  
Linked Data ◽  
Data Generation ◽  
Participatory Action ◽  
Content Type ◽  
Building Information ◽  
Management Context ◽  
Transfer Of Information ◽  
Methodological Guidelines

Purpose The purpose of this paper is to investigate the transfer of information from the building information modelling (BIM) models to either conventional or advanced asset management platforms using Linked Data. To achieve this aim, a process for generating Linked Data in the asset management context and its integration with BIM data is presented. Design/methodology/approach The research design employs a participatory action research (PAR) approach. The PAR approach utilized two qualitative data collection methods, namely; focus group and interviews to identify and evaluate the required standards for the mapping of different domains. Also prototyping which is an approach of Software Development Methodology is utilized to develop the ontologies and Linked Data. Findings The proposed process offers a comprehensive description of the required standards and classifications in construction domain, related vocabularies and object-oriented links to ensure the effective data integration between different domains. Also the proposed process demonstrates the different stages, tools, best practices and guidelines to develop Linked Data, armed with a comprehensive use case Linked Data generation about building assets that consume energy. Originality/value The Linked Data generation and publications in the domain of AECO is still in its infancy and it also needs methodological guidelines to support its evolution towards maturity in its processes and applications. This research concentrates on the Linked Data applications with BIM to link across domains where few studies have been conducted.

scholarly journals Tabular Data Cleaning and Linked Data Generation with Grafterizer

2016 ◽  
pp. 134-139 ◽  
Author(s):  
Dina Sukhobok ◽  
Nikolay Nikolov ◽  
Antoine Pultier ◽  
Xianglin Ye ◽  
Arne Berre ◽  
...  
Keyword(s):  
Linked Data ◽  
Data Cleaning ◽  
Data Generation ◽  
Tabular Data

scholarly journals RMLx : Mapping Interface for Integrating Open Data with Linked Data Exploration Environment

2017 ◽  
Author(s):  
Peb Ruswono Aryan ◽  
Fajar Juang Ekaputra ◽  
Kabul Kurniawan ◽  
Elmar Kiesling ◽  
A Min Tjoa
Keyword(s):  
Linked Data ◽  
Large Scale ◽  
Open Data ◽  
Data Exploration ◽  
Data Sources ◽  
Data Generation ◽  
Web Interface ◽  
Rdf Data ◽  
Exploration Environment ◽  
Mapping Language

Recent advances in linked data generation through mapping such as RML (RDF mapping language) allows for providing large-scale RDF data in a more automatic way.However, considerable amount of data in open data portals remain inaccessible as linked data.This is due to the nature of data portals having large number of small-size dataset which makes writing mapping description becomes tedious and error-prone. Moreover, these data sources requires additional preprocessing before To solve this challenge, We introduce extensions to RML to support required tasks and developed RMLx, a visual web-interface to create RML mappings.Using this interface, the process of creating mapping description can become faster and less error-prone.Furthermore, the process of linked data generation can be wrapped as to enable integration with other data in a linked data exploration environment. We explore on four different use cases to identify the requirements followed by describing how these are solved.

Ontology Authoring and Linked Data Generation from Web Applications

2017 ◽  
Vol 8 (4) ◽  
pp. 52-66 ◽  
Author(s):  
Benamar Bouougada ◽  
Djelloul Bouchiha ◽  
Abdelghani Bouziane ◽  
Mimoun Malki
Keyword(s):  
Web Application ◽  
Linked Data ◽  
Relational Databases ◽  
Web Applications ◽  
Source Code ◽  
Data Generation ◽  
Domain Expert ◽  
Engineering Process ◽  
Original Design ◽  
Forward Engineering

One of the fundamental problems in the development of the semantic web is what is known as the ontology authoring. This process allows the domain expert to create ontologies and their instances by dedicated tools from relational databases and/or web applications. In this article is presented an approach that allows building OWL ontologies and RDF instances from web applications. The proposed approach starts with a reverse engineering process that aims to recover the original design from the web application source code by using program understanding techniques. Then, a forward engineering process is applied to create an OWL ontology from the recovered diagrams, based on a set of mapping rules. The proposed approach is concertized by a PHP2OWLGen tool and is evaluated with a set of web applications. The obtained results were encouraging and showed the efficiency of the proposed approach.

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