Knowledgebase Representation for Royal Bengal Tiger In The Context of Bangladesh

Knowledgebase Representation for Royal Bengal Tiger In The Context of Bangladesh

Dr. Md.Sarwar Kamal

Contact

Sonia Farhana Nimmy

Contact

α BGC Trust University Bangladesh

Knowledgebase Representation for Royal Bengal Tiger In The Context of Bangladesh

Article Fingerprint

ReserarchID

CSTSDE145S1

Knowledgebase Representation for Royal Bengal Tiger In The Context of Bangladesh Banner

AI TAKEAWAY

Connecting with the Eternal Ground

Abstract

Royal Bengal Tiger is one of the penetrating threaten animal in Bangladesh forest at Sundarbans. In this work we have had concentrate to establish a robust Knowledgebase for Royal Bengal Tiger. We improve our previous work to achieve efficiency on knowledgebase representation. We have categorized the tigers from others animal from collected data by using Support Vector Machines(SVM) .Manipulating our collected data in a structured way by XML parsing on JAVA platform. Our proposed system generates n-triple by considering parsed data. We proceed on an ontology is constructed by Protégé which containing information about names, places, awards. A straightforward approach of this work to make the knowledgebase representation of Royal Bengal Tiger more reliable on the web. Our experiments show the effectiveness of knowledgebase construction. Complete knowledgebase construction of Royal Bengal Tigers how the efficient out-put. The complete knowledgebase construction helps to integrate the raw data in a structured way. The outcome of our proposed system contains the complete knowledgebase. Our experimental results show the strength of our system by retrieving information from ontology in reliable way.

References

38 Cites in Article

Reference Format

Benjamin's,J Contreras,O Corcho,A G_Omez-P_Erez (2004). Six Challenges for the Semantic Web.
T Berners-Lee,M Fischetti,M Dertouzos (1999). Weaving the Web: The Original Design and Ultimate Destiny of the World Wide Web.
C Caracciolo,J Euzenat,L Hollink,R Ichise,A Isaac,V Malais_E,C Meilicke,J Pane,P Shvaiko,H Stuckenschmidt,O _Sv_Ab-Zamazal,V Sv_Atek (2008). Results of the Ontology Alignment Evaluation Initiative.
Allan Collins,M Quillian (1969). Retrieval time from semantic memory.
Christopher Burges (1998). A Tutorial on Support Vector Machines for Pattern Recognition.
M Ehrig (2007). Ontology Alignment.
C Fellbaum (1998). WordNet: An Electronic Lexical Database.
Jérôme Euzenat,Christian Meilicke,Heiner Stuckenschmidt,Pavel Shvaiko,Cássia Trojahn (2009). Ontology Alignment Evaluation Initiative: Six Years of Experience.
Nello Cristianini,John Shawe-Taylor (2000). An Introduction to Support Vector Machines and Other Kernel-based Learning Methods.
Unknown Title.
B Grau,B Parsia,E Sirin,A Kalyanpur (2005). Modularizing OWL ontologies.
Tom Mitchell (1997). Machine Learning.
J Lewis (2004). Tutorial on SVM.
G Hirst,D St-Onge (1998). Lexical chains as representations of context for the detection and correction of malapropisms.
Wei Hu,Yuzhong Qu (2006). Falcon-AO: A Practical Ontology Matching System.
W Hu,Y Zhao,Y Qu (2006). Partition-based Block Matching of Large Class Hierarchies.
Wei Hu,Yuzhong Qu,Gong Cheng (2008). Matching large ontologies: A divide-and-conquer approach.
J Jiang,D Conrath (1997). Multi-word complex concept retrieval via lexical semantic similarity.
Rasmus Knappe,Henrik Bulskov,Troels Andreasen (2007). Perspectives on ontology-based querying.
G Kobilarov,C Bizer,S Auer,J Lehmann Dbpedia-a linked data hub and data source for web and enterprise applications.
D Lin (1998). An information-theoretic de_nition of similarity.
S Melnik,H Garcia-Molina,E Rahm (2002). Similarity Flooding: AVersatile Graph Matching Algorithm and its Application to Schema Matching.
George Miller,Walter Charles (1991). Contextual correlates of semantic similarity.
Annett Mitschick,Klaus Meissner (2008). Generation and Maintenance of Semantic Metadata for Personal Multimedia Document Management.
R Rada,H Mili,E Bicknell,M Blettner (1989). Development and application of a metric on semantic nets.
P Resnik (1995). Using information content to evaluate semantic similarity in a taxonomy.
P Resnik (1999). Semantic Similarity in a Taxonomy: An Information-Based Measure and its Application to Problems of Ambiguity in Natural Language.
J Rogers (2005). OpenGALEN: Making the Impossible Very Difficult.
Cornelius Rosse,José Mejino (2003). A reference ontology for biomedical informatics: the Foundational Model of Anatomy.
N Seco,T Veale,J Hayes (2004). An intrinsic information contentmetric for semantic similarity in WordNet.
M Seddiqui,M Aono (2008). Alignment Results of Anchor-Flood Algorithm for OAEI.
Md. Seddiqui,Masaki Aono (2009). An efficient and scalable algorithm for segmented alignment of ontologies of arbitrary size.
M Seddiqui,M Aono (2009). Anchor-Flood: Results for OAEI-2009.
J Seidenberg,A Rector (2006). Web Ontology Segmentation: Analysis, Classification and Use.
C Shannon,W Weaver (1948). A Mathematical Theory of Communication.
P Shvaiko,J Euzenat (2008). Ten challenges for ontology matching.
G Stoilos,G Stamou,S Kollias (2005). A String Metric for Ontology Alignment.
H Stuckenschmidt,M Klein (2004). Structurebased Partitioning of Large Concept Hierarchies.

Download References

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. Md.Sarwar Kamal. 2012. \u201cKnowledgebase Representation for Royal Bengal Tiger In The Context of Bangladesh\u201d. Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 12 (GJCST Volume 12 Issue C10): .

More Citation Formats

Select Citation Style:

Download Citation

Download Article

GJCST Volume 12 Issue C10
Pg. 1- 8

Explore Journals Explore Volume Read This Issue

Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Linked data N-triples Ontology Royal Bengal Tiger Web Semantics XML parsing

Submission ReceivedDecember 16, 2011
Peer Review Double Blind
Handling Editor
Accepted December 31, 2011
Published January 15, 2012

Version of record

v1.2

Issue date

June 7, 2012

Language

Experiance in AR

Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.

View in VR

Read in 3D

Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.

View in 3D

Article Matrices

Total Score: 107

Country: Bangladesh

Subject: Global Journal of Computer Science and Technology - C: Software & Data Engineering

Authors: Dr. Md.Sarwar Kamal, Sonia Farhana Nimmy (PhD/Dr. count: 1)

View Count (all-time): 303

Total Views (Real + Logic): 10565

Total Downloads (simulated): 2616

Publish Date: 2012 06, Thu

Monthly Totals (Real + Logic):

Month 1: 30 views
Month 2: 22 views
Month 3: 29 views
Month 4: 49 views
Month 5: 52 views
Month 6: 22 views
Month 7: 33 views
Month 8: 39 views
Month 9: 46 views
Month 10: 31 views
Month 11: 33 views
Month 12: 26 views
Month 13: 33 views
Month 14: 28 views
Month 15: 14 views
Month 16: 36 views
Month 17: 29 views
Month 18: 20 views
Month 19: 38 views
Month 20: 38 views
Month 21: 29 views
Month 22: 31 views
Month 23: 36 views
Month 24: 38 views
Month 25: 32 views
Month 26: 31 views
Month 27: 33 views
Month 28: 32 views
Month 29: 21 views
Month 30: 29 views
Month 31: 17 views
Month 32: 36 views
Month 33: 20 views
Month 34: 28 views
Month 35: 31 views
Month 36: 32 views
Month 37: 23 views
Month 38: 35 views
Month 39: 31 views
Month 40: 33 views
Month 41: 43 views
Month 42: 21 views
Month 43: 34 views
Month 44: 28 views
Month 45: 24 views
Month 46: 26 views
Month 47: 37 views
Month 48: 42 views
Month 49: 19 views
Month 50: 34 views
Month 51: 42 views
Month 52: 18 views
Month 53: 21 views
Month 54: 31 views
Month 55: 24 views
Month 56: 25 views
Month 57: 40 views
Month 58: 32 views
Month 59: 23 views
Month 60: 31 views
Month 61: 27 views
Month 62: 27 views
Month 63: 33 views
Month 64: 21 views
Month 65: 33 views
Month 66: 25 views
Month 67: 26 views
Month 68: 47 views
Month 69: 37 views
Month 70: 23 views
Month 71: 43 views
Month 72: 49 views
Month 73: 46 views
Month 74: 34 views
Month 75: 37 views
Month 76: 41 views
Month 77: 29 views
Month 78: 39 views
Month 79: 14 views
Month 80: 21 views
Month 81: 16 views
Month 82: 41 views
Month 83: 21 views
Month 84: 29 views
Month 85: 37 views
Month 86: 28 views
Month 87: 20 views
Month 88: 45 views
Month 89: 35 views
Month 90: 13 views
Month 91: 21 views
Month 92: 44 views
Month 93: 33 views
Month 94: 29 views
Month 95: 34 views
Month 96: 34 views
Month 97: 25 views
Month 98: 34 views
Month 99: 32 views
Month 100: 28 views
Month 101: 31 views
Month 102: 47 views
Month 103: 48 views
Month 104: 37 views
Month 105: 22 views
Month 106: 21 views
Month 107: 28 views
Month 108: 37 views
Month 109: 41 views
Month 110: 29 views
Month 111: 33 views
Month 112: 32 views
Month 113: 33 views
Month 114: 43 views
Month 115: 34 views
Month 116: 39 views
Month 117: 24 views
Month 118: 30 views
Month 119: 44 views
Month 120: 43 views
Month 121: 31 views
Month 122: 36 views
Month 123: 26 views
Month 124: 39 views
Month 125: 36 views
Month 126: 24 views
Month 127: 26 views
Month 128: 14 views
Month 129: 23 views
Month 130: 36 views
Month 131: 40 views
Month 132: 35 views
Month 133: 18 views
Month 134: 22 views
Month 135: 17 views
Month 136: 29 views
Month 137: 17 views
Month 138: 40 views
Month 139: 39 views
Month 140: 15 views
Month 141: 43 views
Month 142: 39 views
Month 143: 35 views
Month 144: 24 views
Month 145: 37 views
Month 146: 33 views
Month 147: 24 views
Month 148: 31 views
Month 149: 15 views
Month 150: 29 views
Month 151: 15 views
Month 152: 36 views
Month 153: 30 views
Month 154: 22 views
Month 155: 22 views
Month 156: 41 views
Month 157: 26 views
Month 158: 35 views
Month 159: 44 views
Month 160: 43 views
Month 161: 36 views
Month 162: 40 views
Month 163: 50 views
Month 164: 50 views
Month 165: 24 views
Month 166: 39 views
Month 167: 32 views
Month 168: 30 views

Total Views: 10565

Total Downloads: 2616

2026 Trends

Published Article

Our website is actively being updated, and changes may occur frequently. Please clear your browser cache if needed. For feedback or error reporting, please email [email protected]