Computing Semantic Relatedness of Textual Concepts in Knowledge Graphs

April 2018
Vol-4, Issue-2
Paper ID: 8206
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Engineering
Keywords
Semantic similarity Information content Knowledge graph WordNet DBpedia
Abstract
This venture displays An system for measuring the semantic comparability the middle of ideas over information Graphs (KGs) for example, such that WordNet Furthermore DBpedia. Past fill in with respect to semantic similitude techniques have kept tabs ahead whichever those structure of the semantic system the middle of ideas (e. G. , way length Also depth), alternately main on the data substance (IC) for ideas. We recommend a semantic similitude method, to be specific wpath, will consolidate these two approaches, utilizing Ic to weight the most brief way length the middle of ideas. Traditional corpus-based Ic is registered starting with the circulations of ideas through text based corpus, which may be required to get ready An area corpus holding annotated ideas and need secondary computational cosset. Concerning illustration instances are officially concentrated from printed corpus What's more annotated Eventually Tom's perusing ideas On KGs, graph-based Ic will be suggested with figure Ic In light of those circulations for ideas again instances.

Author Information

# Name Institute / Affiliation
1 B.Yeshwanth Nandha Engineering College
2 E.Padma Nandha Engineering College

How to Cite

Use the following formats to cite this article in your research.

APA Style
B.Yeshwanth & E.Padma (2018). Computing Semantic Relatedness of Textual Concepts in Knowledge Graphs. International Journal of Advance Research and Innovative Ideas In Education, 4(2), 3941-3947.
MLA Style
B.Yeshwanth, and E.Padma. "Computing Semantic Relatedness of Textual Concepts in Knowledge Graphs." International Journal of Advance Research and Innovative Ideas In Education, vol. 4, no. 2, 2018, pp. 3941-3947.
IEEE Style
B.Yeshwanth and E.Padma, "Computing Semantic Relatedness of Textual Concepts in Knowledge Graphs," International Journal of Advance Research and Innovative Ideas In Education, vol. 4, no. 2, pp. 3941-3947, 2018.
Vancouver Style
B.Yeshwanth, E.Padma. Computing Semantic Relatedness of Textual Concepts in Knowledge Graphs. International Journal of Advance Research and Innovative Ideas In Education. 2018;4(2):3941-3947.
Harvard Style
B.Yeshwanth & E.Padma (2018) 'Computing Semantic Relatedness of Textual Concepts in Knowledge Graphs', International Journal of Advance Research and Innovative Ideas In Education, 4(2), pp. 3941-3947.
Chicago Style
B.Yeshwanth and E.Padma. "Computing Semantic Relatedness of Textual Concepts in Knowledge Graphs." International Journal of Advance Research and Innovative Ideas In Education 4, no. 2 (2018): 3941-3947.
Turabian Style
B.Yeshwanth and E.Padma. "Computing Semantic Relatedness of Textual Concepts in Knowledge Graphs." International Journal of Advance Research and Innovative Ideas In Education 4, no. 2 (2018): 3941-3947.

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