The Architecture of Farsi Knowledge Graph System

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Sajadi Mohamad Bagher; MINAEI BIDGOLI BEHROUZ

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Iranian Journal of Information Processing & Management Year:2020 | Volume:35 | Issue:2 Page(s): 425-462

Download Full-Text

Persian Verion

View:

804

Download:

Cites:

Information Journal Paper

Title

The Architecture of Farsi Knowledge Graph System

Author(s)

Sajadi Mohamad Bagher | MINAEI BIDGOLI BEHROUZ | Issue Writer Certificate

Keywords

Knowledge BaseQ1

RDFQ1

Semantic WebQ1

Farsi LanguageQ1

Linked DataQ1

Abstract

The knowledge graph plays an important role in the Semantic Web and Natural Language Processing (NLP) tools. There are many Knowledge Bases in different languages, however lack of Farsi-specific Knowledge Base appears some defects in research and industrial applications. In this study, the most comprehensive Knowledge Base in Farsi Language is presented, which consists of more than 500K of entities and 7 million relations, which is accessible in an open source repository. Data is supplied from four sources: Farsi Wikipedia and its structured data such as infoboxes, web tables, Wiki tables, and a relation extraction module. A variety of challenges of triple extraction from web tables, especially wiki tables, is addressed and some solutions to tackle these challenges are offered. According to the Semantic Web, RDF data model and OWL2 ontology employed to implement the Farsi Knowledge Graph (FKG). Resources and their relations are stored in triple format, therefor access to the knowledge graph is provided by a SPARQL endpoint. The FKG consists of several main parts including triple extraction from raw text, triple extraction from structured data, Knowledge Base creation, a search system on the Knowledge Base, and an entity linking module. In this paper, overall architecture of these parts is discussed in detail. One of the major contribution of this work is mapping of the ontology to the FarsNet, the Persian WordNet, for research purposes. In this graph, there are a large amount of information on a variety of topics including famous people, important places, organizations and companies, literary and art works, physiology, biology, events, species, astronomy, etc. For evaluation purposes, a small part of triples were randomly collected to build a test dataset for manually inspection. Experimental results demonstrate that more than 94% of triples were obtained correctly through the process of extraction, conversion, mapping, transformation and store. Future of internet according to the Semantic Web will be a complex and huge global Knowledge Base, therefor the FKG can play a significant role in developing this emerging technology.

Cites

No record.

References

No record.

Cite

APA: Copy

Sajadi, Mohamad Bagher, & MINAEI BIDGOLI, BEHROUZ. (2020). The Architecture of Farsi Knowledge Graph System. IRANIAN JOURNAL OF INFORMATION PROCESSING & MANAGEMENT (INFORMATION SCIENCES AND TECHNOLOGY), 35(2 ), 425-462. SID. https://sid.ir/paper/131052/en

Vancouver: Copy

Sajadi Mohamad Bagher, MINAEI BIDGOLI BEHROUZ. The Architecture of Farsi Knowledge Graph System. IRANIAN JOURNAL OF INFORMATION PROCESSING & MANAGEMENT (INFORMATION SCIENCES AND TECHNOLOGY)[Internet]. 2020;35(2 ):425-462. Available from: https://sid.ir/paper/131052/en

IEEE: Copy

Mohamad Bagher Sajadi, and BEHROUZ MINAEI BIDGOLI, “The Architecture of Farsi Knowledge Graph System,” IRANIAN JOURNAL OF INFORMATION PROCESSING & MANAGEMENT (INFORMATION SCIENCES AND TECHNOLOGY), vol. 35, no. 2 , pp. 425–462, 2020, [Online]. Available: https://sid.ir/paper/131052/en

Related Journal Papers