scholarly journals Ontologies-based architecture for sociocultural knowledge co-construction systems

2018 ◽  
Vol 6 (1) ◽  
pp. 226-239
Author(s):  
Guidedi Kaladzavi ◽  
Papa Fary Diallo ◽  
Cedric Bere ◽  
Olivier Corby ◽  
Isabelle Minrel ◽  
...  
Keyword(s):  
Query Language ◽  
Interface Layer ◽  
Data Format ◽  
Persistence Layer ◽  
Semantic Data ◽  
Semantic Wiki ◽  
Natural Data ◽  
Description Framework ◽  
Resource Description ◽  
Semantic Layer

Considering the evolution of the semantic wiki engine on-based platforms, two main approaches could be distinguished: Ontologies for Wikis (OfW) and Wikis for Ontologies (WfO). OfW vision requires the existing ontologies to be imported. Most of them use the Resource Description Framework (RDF-based) systems in conjunction with the standard Structured Query Language (SQL) database to manage and query semantic data. But, relational database is not an ideal type of storage for semantic data. A more natural data model for Semantic MediaWiki (SMW) is RDF, a data format that organizes information in graphs rather than in fixed database tables. This paper presents an ontology on-based architecture, which aims to implement this idea. The Architecture mainly includes three-layered functional architecture: Web User Interface Layer, Semantic Layer, and Persistence Layer.

A Survey on JSON Mapping With XML/RDF

2019 ◽  
pp. 92-113
Author(s):  
Gbéboumé Crédo Charles Adjallah-Kondo ◽  
Zongmin Ma
Keyword(s):  
Resource Description Framework ◽  
Data Format ◽  
Web Resources ◽  
Description Framework ◽  
Resource Description ◽  
Exchange Data

As a data format, JSON is able to store and exchange data. It can be mapped with RDF (resource description framework), which is an ontology technology in the direction of web resources. This chapter replies to the question about which techniques or methods to utilize for mapping XML to JSON and RDF. However, a plethora of methods have been explored. Consequently, the goal of this survey is to give the whole presentation of the currents approaches to map JSON with XML and RDF by providing their differences.

scholarly journals An E-Commerce Platform for Industrialized Construction Procurement Based on BIM and Linked Data

2018 ◽  
Vol 10 (8) ◽  
pp. 2613
Author(s):  
Dandan He ◽  
Zhongfu Li ◽  
Chunlin Wu ◽  
Xin Ning
Keyword(s):  
Data Integration ◽  
Construction Industry ◽  
Resource Description Framework ◽  
Linked Data ◽  
Query Language ◽  
Rapid Development ◽  
Data Sources ◽  
Product Data ◽  
Description Framework ◽  
Resource Description

Industrialized construction has raised the requirements of procurement methods used in the construction industry. The rapid development of e-commerce offers efficient and effective solutions, however the large number of participants in the construction industry means that the data involved are complex, and problems arise related to volume, heterogeneity, and fragmentation. Thus, the sector lags behind others in the adoption of e-commerce. In particular, data integration has become a barrier preventing further development. Traditional e-commerce platform, which considered data integration for common product data, cannot meet the requirements of construction product data integration. This study aimed to build an information-integrated e-commerce platform for industrialized construction procurement (ICP) to overcome some of the shortcomings existing platforms. We proposed a platform based on Building Information Modelling (BIM) and linked data, taking an innovative approach to data integration. It uses industrialized construction technology to support product standardization, BIM to support procurement process, and linked data to connect different data sources. The platform was validated using a case study. With the development of an e-commerce ontology, industrialized construction component information was extracted from BIM models and converted to Resource Description Framework (RDF) format. Related information from different data sources was also converted to RDF format, and Simple Protocol and Resource Description Framework Query Language (SPARQL) queries were implemented. The platform provides a solution for the development of e-commerce platform in the construction industry.

scholarly journals PROVIDING GEOGRAPHIC DATASETS AS LINKED DATA IN SDI

2016 ◽  
Vol XLI-B2 ◽  
pp. 583-586 ◽  
Author(s):  
E. Hietanen ◽  
L. Lehto ◽  
P. Latvala
Keyword(s):  
Information Content ◽  
Linked Data ◽  
Web Browser ◽  
Data Format ◽  
Spatial Objects ◽  
Ontology Language ◽  
Geographic Datasets ◽  
Description Framework ◽  
Data Objects ◽  
Resource Description

In this study, a prototype service to provide data from Web Feature Service (WFS) as linked data is implemented. At first, persistent and unique Uniform Resource Identifiers (URI) are created to all spatial objects in the dataset. The objects are available from those URIs in Resource Description Framework (RDF) data format. Next, a Web Ontology Language (OWL) ontology is created to describe the dataset information content using the Open Geospatial Consortium’s (OGC) GeoSPARQL vocabulary. The existing data model is modified in order to take into account the linked data principles. The implemented service produces an HTTP response dynamically. The data for the response is first fetched from existing WFS. Then the Geographic Markup Language (GML) format output of the WFS is transformed on-the-fly to the RDF format. Content Negotiation is used to serve the data in different RDF serialization formats. This solution facilitates the use of a dataset in different applications without replicating the whole dataset. In addition, individual spatial objects in the dataset can be referred with URIs. Furthermore, the needed information content of the objects can be easily extracted from the RDF serializations available from those URIs. <br><br> A solution for linking data objects to the dataset URI is also introduced by using the Vocabulary of Interlinked Datasets (VoID). The dataset is divided to the subsets and each subset is given its persistent and unique URI. This enables the whole dataset to be explored with a web browser and all individual objects to be indexed by search engines.

scholarly journals Towards Interactive Analytics over RDF Graphs

Algorithms ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 34 ◽  
Author(s):  
Maria-Evangelia Papadaki ◽  
Nicolas Spyratos ◽  
Yannis Tzitzikas
Keyword(s):  
Query Language ◽  
Proposed Model ◽  
Aggregate Queries ◽  
Rdf Data ◽  
Description Framework ◽  
Rdf Graphs ◽  
High Level ◽  
Resource Description ◽  
Functional Algebra ◽  
Continuous Accumulation

The continuous accumulation of multi-dimensional data and the development of Semantic Web and Linked Data published in the Resource Description Framework (RDF) bring new requirements for data analytics tools. Such tools should take into account the special features of RDF graphs, exploit the semantics of RDF and support flexible aggregate queries. In this paper, we present an approach for applying analytics to RDF data based on a high-level functional query language, called HIFUN. According to that language, each analytical query is considered to be a well-formed expression of a functional algebra and its definition is independent of the nature and structure of the data. In this paper, we investigate how HIFUN can be used for easing the formulation of analytic queries over RDF data. We detail the applicability of HIFUN over RDF, as well as the transformations of data that may be required, we introduce the translation rules of HIFUN queries to SPARQL and we describe a first implementation of the proposed model.

scholarly journals PRIOR ONTOLOGY SELECTION AND QUERY TRANSLATION FOR INFORMATION SEARCH

2017 ◽  
Vol 10 (13) ◽  
pp. 499
Author(s):  
Poornima N ◽  
Shivam Agrawal ◽  
Shivam Agrawal ◽  
Saleena B ◽  
Saleena B
Keyword(s):  
Information Retrieval ◽  
Resource Description Framework ◽  
Information Search ◽  
Query Language ◽  
Retrieval Process ◽  
Query Translation ◽  
User Intention ◽  
Description Framework ◽  
Ontology Selection ◽  
Resource Description

Objective: Most of the current search engines follow informal keyword based search. Finding the user intention and improving the relevancy of results are the major issues faced by the current traditional keyword based search. Targeting to solve the problems of traditional search and to boost the retrieval process, a framework for semantic based information retrieval is planned. Methods: Social and wine ontologies are used to find the user intention and retrieving it. User’s natural language queries are translated into SPARQL (SPARQL Protocol and Resource Description Framework query language) query for finding related items from those ontologies.Results: The proposed method makes a significant improvement over traditional search in terms of some searches required for searching a particular number of pages using performance graph.Conclusion: Semantic based search can understand the user intention and gives better results than traditional search.

scholarly journals Semantic Representation and Optimized Querying of Cancer Data using Modified Shuffled Frog Leaping Algorithm

2019 ◽  
Vol 8 (3) ◽  
pp. 1306-1308
Keyword(s):  
Data Model ◽  
Query Language ◽  
Semantic Representation ◽  
Cancer Registries ◽  
Shuffled Frog Leaping Algorithm ◽  
Cancer Disease ◽  
Cancer Data ◽  
Semantic Data ◽  
Shuffled Frog Leaping ◽  
Description Framework

Cancer registries are most important to predict and treat the cancer disease. Numerous solutions are available in research to analyze the data in cancer registries. However, there is a lack of well defined data model since there is a link to external web pages. In order to overcome this issue a system is proposed to represent the cancer data using a semantic data model. The data model uses a Resource Description Framework (RDF) format to represent the data from the local cancer databases. It also uses an optimized Querying of the semantically represented data using SPARQL query language. The optimization of the queries is done with the Modified shuffled frog leaping algorithm(MSFL). This helps in treatment of cancer patients in an easy way.

Linked Data

2019 ◽  
pp. 87-113
Author(s):  
Leila Zemmouchi-Ghomari
Keyword(s):  
Linked Data ◽  
Query Language ◽  
Exciting Field ◽  
Data Resource ◽  
Simple Protocol ◽  
Web Of Data ◽  
Promising Solution ◽  
Description Framework ◽  
Resource Description ◽  
The Web

The data on the web is heterogeneous and distributed, which makes its integration a sine qua non-condition for its effective exploitation within the context of the semantic web or the so-called web of data. A promising solution for web data integration is the linked data initiative, which is based on four principles that aim to standardize the publication of structured data on the web. The objective of this chapter is to provide an overview of the essential aspects of this fairly recent and exciting field, including the model of linked data: resource description framework (RDF), its query language: simple protocol, and the RDF query language (SPARQL), the available means of publication and consumption of linked data, and the existing applications and the issues not yet addressed in research.

Storing massive Resource Description Framework (RDF) data: a survey

2016 ◽  
Vol 31 (4) ◽  
pp. 391-413 ◽  
Author(s):  
Zongmin Ma ◽  
Miriam A. M. Capretz ◽  
Li Yan
Keyword(s):  
Data Storage ◽  
Resource Description Framework ◽  
Relational Databases ◽  
Query Language ◽  
Current State ◽  
Rdf Data ◽  
Description Framework ◽  
Resource Description ◽  
Flexible Model ◽  
The Web

AbstractThe Resource Description Framework (RDF) is a flexible model for representing information about resources on the Web. As a W3C (World Wide Web Consortium) Recommendation, RDF has rapidly gained popularity. With the widespread acceptance of RDF on the Web and in the enterprise, a huge amount of RDF data is being proliferated and becoming available. Efficient and scalable management of RDF data is therefore of increasing importance. RDF data management has attracted attention in the database and Semantic Web communities. Much work has been devoted to proposing different solutions to store RDF data efficiently. This paper focusses on using relational databases and NoSQL (for ‘not only SQL (Structured Query Language)’) databases to store massive RDF data. A full up-to-date overview of the current state of the art in RDF data storage is provided in the paper.

scholarly journals Desain Sistem Semantic Data Warehouse dengan Metode Ontology dan Rule Based untuk Mengolah Data Akademik Universitas XYZ di Bali

2016 ◽  
Vol 15 (1) ◽  
pp. 8
Author(s):  
Made Pradnyana Ambara ◽  
Made Sudarma ◽  
I Nyoman Satya Kumara
Keyword(s):  
Data Warehouse ◽  
Resource Description Framework ◽  
Black Box ◽  
Rule Based ◽  
Semantic Data ◽  
Black Box Testing ◽  
Description Framework ◽  
Resource Description

Data warehouse pada umumnya yang sering dikenal data warehouse tradisional mempunyai beberapa kelemahan yang mengakibatkan kualitas data yang dihasilkan tidak spesifik dan efektif. Sistem semantic data warehouse merupakan solusi untuk menangani permasalahan pada data warehouse tradisional dengan kelebihan antara lain: manajeman kualitas data yang spesifik dengan format data seragam untuk mendukung laporan OLAP yang baik, dan performance pencarian informasi yang lebih efektif dengan kata kunci bahasa alami. Pemodelan sistem semantic data warehouse menggunakan metode ontology menghasilkan model resource description framework schema (RDFS) logic yang akan ditransformasikan menjadi snowflake schema. Laporan akademik yang dibutuhkan dihasilkan melalui metode nine step Kimball dan pencarian semantic menggunakan metode rule based. Pengujian dilakukan menggunakan dua metode uji yaitu pengujian dengan black box testing dan angket kuesioner cheklist. Dari hasil penelitian ini dapat disimpulkan bahwa sistem semantic data warehouse dapat membantu proses pengolahan data akademik yang menghasilkan laporan yang berkualitas untuk mendukung proses pengambilan keputusan. DOI: 10.24843/MITE.1501.02

scholarly journals gst-store: Querying Large Spatiotemporal RDF Graphs

2017 ◽  
Vol 1 (2) ◽  
pp. 84-103 ◽  
Author(s):  
Dong Wang ◽  
Lei Zou ◽  
Dongyan Zhao
Keyword(s):  
Query Language ◽  
Data Management System ◽  
Rdf Graph ◽  
Spatiotemporal Information ◽  
Simple Protocol ◽  
Rdf Data ◽  
Description Framework ◽  
Query Algorithm ◽  
Rdf Graphs ◽  
Resource Description

Abstract The Simple Protocol and RDF Query Language (SPARQL) query language allows users to issue a structural query over a resource description framework (RDF) graph. However, the lack of a spatiotemporal query language limits the usage of RDF data in spatiotemporal-oriented applications. As the spatiotemporal information continuously increases in RDF data, it is necessary to design an effective and efficient spatiotemporal RDF data management system. In this paper, we formally define the spatiotemporal information-integrated RDF data, introduce a spatiotemporal query language that extends the SPARQL language with spatiotemporal assertions to query spatiotemporal information-integrated RDF data, and design a novel index and the corresponding query algorithm. The experimental results on a large, real RDF graph integrating spatial and temporal information (> 180 million triples) confirm the superiority of our approach. In contrast to its competitors, gst-store outperforms by more than 20%-30% in most cases.

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