ONTOLOGY POPULATION AND SEMANTIC ANNOTATION OF PERSIAN TEXTS IN POPTA

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.

SHAMSFARD MEHRNOUSH; SARRAFZADEH BAHAREH

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

Journal Paper

Paper Information

Journal: THE CSI JOURNAL ON COMPUTER SCIENCE AND ENGINEERING Year:2008 | Volume:6 | Issue:3 (A) Page(s): 40-52

Download Full-Text

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

Persian Verion

View:

1,078

Download:

Cites:

Information Journal Paper

Title

ONTOLOGY POPULATION AND SEMANTIC ANNOTATION OF PERSIAN TEXTS IN POPTA

Author(s)

SHAMSFARD MEHRNOUSH | SARRAFZADEH BAHAREH | Issue Writer Certificate

Keywords

ONTOLOGY POPULATIONQ3

SEMANTIC ANNOTATIONQ3

PERSIAN TEXT PROCESSINGQ2

SEMANTIC WEBQ3

WIKIPEDIAQ2

Abstract

ONTOLOGY POPULATION refers to extracting the instances of classes (concepts) of an ontology from text. On the other hand SEMANTIC WEB provides structured content by adding annotations to documents. SEMANTIC ANNOTATION tags class instances and map them into classes in an ontology. Thus annotation and population are two sides of a coin. This paper introduces an inter-language population and annotation system called POPTA. It annotates Persian texts according to an English ontology and populates the English ontology by instances extracted from Persian texts. POPTA exploits a combination of statistical and pattern based approaches besides web based methods, search engines, online encyclopedia and WIKIPEDIA to perform the annotation and population tasks.

Cites

No record.

References

No record.

Cite

APA: Copy

SHAMSFARD, MEHRNOUSH, & SARRAFZADEH, BAHAREH. (2008). ONTOLOGY POPULATION AND SEMANTIC ANNOTATION OF PERSIAN TEXTS IN POPTA. THE CSI JOURNAL ON COMPUTER SCIENCE AND ENGINEERING, 6(3 (A)), 40-52. SID. https://sid.ir/paper/70660/en

Vancouver: Copy

SHAMSFARD MEHRNOUSH, SARRAFZADEH BAHAREH. ONTOLOGY POPULATION AND SEMANTIC ANNOTATION OF PERSIAN TEXTS IN POPTA. THE CSI JOURNAL ON COMPUTER SCIENCE AND ENGINEERING[Internet]. 2008;6(3 (A)):40-52. Available from: https://sid.ir/paper/70660/en

IEEE: Copy

MEHRNOUSH SHAMSFARD, and BAHAREH SARRAFZADEH, “ONTOLOGY POPULATION AND SEMANTIC ANNOTATION OF PERSIAN TEXTS IN POPTA,” THE CSI JOURNAL ON COMPUTER SCIENCE AND ENGINEERING, vol. 6, no. 3 (A), pp. 40–52, 2008, [Online]. Available: https://sid.ir/paper/70660/en

Related Journal Papers