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master's thesis
Knowledge Extraction from Wikipedia Using Complex Network Analysis
2015. urn:nbn:hr:186:053261
Matas, Neven
University of Rijeka
Faculty of Humanities and Social Sciences

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Matas, N. (2015). Knowledge Extraction from Wikipedia Using Complex Network Analysis (Master's thesis). Rijeka: University of Rijeka, Faculty of Humanities and Social Sciences. Retrieved from https://urn.nsk.hr/urn:nbn:hr:186:053261

Matas, Neven. "Knowledge Extraction from Wikipedia Using Complex Network Analysis." Master's thesis, University of Rijeka, Faculty of Humanities and Social Sciences, 2015. https://urn.nsk.hr/urn:nbn:hr:186:053261

Matas, Neven. "Knowledge Extraction from Wikipedia Using Complex Network Analysis." Master's thesis, University of Rijeka, Faculty of Humanities and Social Sciences, 2015. https://urn.nsk.hr/urn:nbn:hr:186:053261

Matas, N. (2015). 'Knowledge Extraction from Wikipedia Using Complex Network Analysis', Master's thesis, University of Rijeka, Faculty of Humanities and Social Sciences, accessed 15 November 2024, https://urn.nsk.hr/urn:nbn:hr:186:053261

Matas N. Knowledge Extraction from Wikipedia Using Complex Network Analysis [Master's thesis]. Rijeka: University of Rijeka, Faculty of Humanities and Social Sciences; 2015 [cited 2024 November 15] Available at: https://urn.nsk.hr/urn:nbn:hr:186:053261

N. Matas, "Knowledge Extraction from Wikipedia Using Complex Network Analysis", Master's thesis, University of Rijeka, Faculty of Humanities and Social Sciences, Rijeka, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:186:053261

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Metadata
TitleKnowledge Extraction from Wikipedia Using Complex Network Analysis
AuthorNeven Matas
MentorAna Meštrović (mentor)
Committee memberSanda Martinčić-Ipšić (predsjednik povjerenstva)
Committee memberAna Meštrović (član povjerenstva)
Committee memberMarija Marinović (član povjerenstva)
GranterUniversity of Rijeka
Faculty of Humanities and Social Sciences
Rijeka
Defense date and country2015-09-22, Croatia
Scientific / art field,
discipline and subdiscipline		HUMANISTIC SCIENCES
Philology
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Abstract
In this paper I describe a complex network analysis of Wikipedia. I conduct two experiments. In the first 10 different networks are constructed from Wikipedia entries related to the chosen domain. The goal of the first experiment is to extract domain knowledge in terms of identifying entries that are centrally positioned and entries that are strongly related. I apply complex networks analysis on all acquired networks and examine the networks’ structure. Additionally, centrality measures are employed in order to find centrally positioned entries in the network. And finally, I identify communities and find which entries are densely connected according to the network structure. In the second experiment I construct two different types of networks – superset and subset networks in which nodes are connected amongst themselves on the basis of keyword similarities between the texts of the respective entries representing nodes. These networks are then compared with the original network, of the type used in the first experiment, and through this process centrality measures are reviewed according to their ability to extract concepts semantically related to the text. I also present and analyze the extracted keywords used in the experiment.
Keywords
Languageenglish
URN:NBNurn:nbn:hr:186:053261
Study programmeTitle: English Language and Literature (double major); specializations in: Teaching Track
Course: Teaching Track
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra edukacije engleskog jezika i književnosti (magistar/magistra edukacije engleskog jezika i književnosti)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Public noteDrugi studijski program je informatika.
Created on2020-06-25 06:48:18