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 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 Schema-Based Mapping Approach for Data Transformation to Enrich Semantic Web

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Senthilselvan Natarajan ◽  
Subramaniyaswamy Vairavasundaram ◽  
Yuvaraja Teekaraman ◽  
Ramya Kuppusamy ◽  
Arun Radhakrishnan
Keyword(s):  
Relational Database ◽  
Resource Description Framework ◽  
Data Retrieval ◽  
Mapping Method ◽  
Data Conversion ◽  
Query Translation ◽  
On Demand ◽  
Conventional Methods ◽  
Description Framework ◽  
Resource Description

Modern web wants the data to be in Resource Description Framework (RDF) format, a machine-readable form that is easy to share and reuse data without human intervention. However, most of the information is still available in relational form. The existing conventional methods transform the data from RDB to RDF using instance-level mapping, which has not yielded the expected results because of poor mapping. Hence, in this paper, a novel schema-based RDB-RDF mapping method (relational database to Resource Description Framework) is proposed, which is an improvised version for transforming the relational database into the Resource Description Framework. It provides both data materialization and on-demand mapping. RDB-RDF reduces the data retrieval time for nonprimary key search by using schema-level mapping. The resultant mapped RDF graph presents the relational database in a conceptual schema and maintains the instance triples as data graph. This mechanism is known as data materialization, which suits well for the static dataset. To get the data in a dynamic environment, query translation (on-demand mapping) is best instead of whole data conversion. The proposed approach directly converts the SPARQL query into SQL query using the mapping descriptions available in the proposed system. The mapping description is the key component of this proposed system which is responsible for quick data retrieval and query translation. Join expression introduced in the proposed RDB-RDF mapping method efficiently handles all complex operations with primary and foreign keys. Experimental evaluation is done on the graphics designer database. It is observed from the result that the proposed schema-based RDB-RDF mapping method accomplishes more comprehensible mapping than conventional methods by dissolving structural and operational differences.

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 Pengembangan Sistem Ontologi untuk Morfologi Tumbuhan Obat

2016 ◽  
Vol 3 (2) ◽  
pp. 84 ◽  
Author(s):  
Hani Zulfia Zahro ◽  
Yeni Herdiyeni ◽  
Irman Hermadi
Keyword(s):  
Resource Description Framework ◽  
Query Language ◽  
Web Ontology Language ◽  
Ontology Language ◽  
Description Framework ◽  
Resource Description

Penelitian ini mengusulkan tentang desain baru dari ontologi untuk tanaman obat Indonesia berdasarkan konsep morfologi. Morfologi adalah studi yang mempelajari tentang karakteristik tumbuhan. Dalam penelitian ini menggunakan morfologi sebagai konsep pengetahuan. Ontologi merupakan model pengetahuan yang mendefinisikan hubungan dan klasifikasi dari beberapa konsep dalam domain tertentu. <em>Resource description framework</em> (RDF) dan <em>web ontology language</em> (OWL) digunakan dalam merepresentasikan ontologi. SPARQL protocol and <em>RDF query language</em> (SPARQL) digunakan untuk <em>query</em> data. Protégé 4.3 digunakan untuk memodelkan ontologi tanaman obat. Hasil dari pemodelan ontologi tumbuhan obat dapat diterapkan ke sistem semantik web tanaman obat Indonesia.<br /><br />Kata kunci: morfologi, ontologi, tumbuhan obat

Resource Description Framework

2017 ◽  
pp. 1-4
Author(s):  
Christian Bizer ◽  
Maria-Esther Vidal ◽  
Michael Weiss
Keyword(s):  
Resource Description Framework ◽  
Description Framework ◽  
Resource Description
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