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Semantic Relationship Extraction and Ontology Building using Wikipedia: A Comprehensive Survey

Nora I. Al- Rajebah, Hend S. Al- Khalifa
2010 International Journal of Computer Applications  
Wikipedia is considered as one of the important knowledge sources that have been used to extract semantic relations due to its characteristics as a semi-structured knowledge source that would facilitate  ...  In this paper we will focus on the current state of this challenging field by discussing some of the recent studies about Wikipedia and semantic extraction and highlighting their main contributions and  ...  ). 2) The quality of the extracted semantic relationships between its extracted concepts (Quality of structure).  ... 
doi:10.5120/1661-2236 fatcat:54cgxwxatnawdbtp2reynusqo4

Entity Linking based Graph Models for Wikipedia Relationships
English

Mattakoyya Aharonu, Mastan Rao Kale
2014 International Journal of Engineering Trends and Technoloy  
Measuring relationships between pairs of data objects in Wikipedia is challenging task in real world data.  ...  This proposed system concentrate on small datasets extracted from the Wikipedia database.  ...  Instead, we need to filter out unimportant links and extract semantically significant relationships from Wikipedia.  ... 
doi:10.14445/22315381/ijett-v18p276 fatcat:x26bosno7jeqrbydq25f7pmr3q

Rich Ontology Extraction and Wikipedia Expansion Using Language Resources [chapter]

Christian Schönberg, Helmuth Pree, Burkhard Freitag
2010 Lecture Notes in Computer Science  
We improve upon existing approaches by finding a host of additional relevant relationships between ontology classes, leveraging multi-lingual relations between categories and semantic relations between  ...  Using the well known Wikipedia as a showcase, we propose new and improved techniques for extracting ontology data from the wiki category structure.  ...  language versions and from semantic similarities between OWL classes.  ... 
doi:10.1007/978-3-642-14246-8_17 fatcat:63mdqr6hlffohntfnv7cnamjxq

TagTheWeb: Using Wikipedia Categories to Automatically Categorize Resources on the Web [chapter]

Jerry Fernandes Medeiros, Bernardo Pereira Nunes, Sean Wolfgand Matsui Siqueira, Luiz André Portes Paes Leme
2018 Lecture Notes in Computer Science  
, based on the generation of a fingerprint through the semantic relation between nodes of the Wikipedia Category Graph.  ...  To address this problem, this paper introduces a tool, called TagTheWeb, as a proposition of a generic classification method, that relies on the knowledge expressed by the taxonomic structure of Wikipedia  ...  Let G=(V , E) be a graph, where V is the set of nodes representing Wikipedia categories, and E is the set of edges representing the relationships between two categories.  ... 
doi:10.1007/978-3-319-98192-5_29 fatcat:ebepshfn3bax3pqzqp7npfw4ba

Towards Bridging the Web and the Semantic Web

Swarnim Kulkarni, Doina Caragea
2009 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology  
The Relationship Identifier (RI) component finds relationships between the extracted concepts and the given query and presents them to the user in the form of a graph.  ...  In this paper, we propose a Concept Extractor and Relationship Identifier (CE-RI) system, which acts as a bridge between Web and Semantic Web by providing a "semantic" way of presenting the search results  ...  We then search for the query concept and the related concept in the set of extracted categories and try to identify a relationship between them.  ... 
doi:10.1109/wi-iat.2009.112 dblp:conf/webi/KulkarniC09 fatcat:hkpgaxw4drbtxnbf4n6xwz7jy4

Round-trip semantics with sztakipedia and DBpedia spotlight

Mihály Héder, Pablo N. Mendes
2012 Proceedings of the 21st international conference companion on World Wide Web - WWW '12 Companion  
In the first step, structured data which is extracted from Wikipedia is used to construct automatic content enhancement engines.  ...  The suggestions offered by the tool focus on complementing knowledge and increasing the availability of structured data on Wikipedia.  ...  In Semantic MediaWiki 3 instances, users are able to further qualify links between pages in order to indicate the semantic relationship between the concepts represented by those pages.  ... 
doi:10.1145/2187980.2188048 dblp:conf/www/HederM12 fatcat:dm4juqcg4jbr7jbiagswfxqufa

Building ontology based-on heterogeneous data

Ta Duy Cong Chien, Phan Thi Tuoi
2015 Journal of Computer Science and Cybernetics  
In recent years, research relevant to ontology development has produced tangible results concerning semantic web, information extraction, etc.  ...  This ontology is built basing on three distinct sources of Wikipedia, WordNet and ACM Digital Library.  ...  In this layer, the sentences are also extracted from Wikipedia, as shown in Figure 3 . These sentences present the semantic relationship between words in sentences.  ... 
doi:10.15625/1813-9663/31/2/3971 fatcat:ehdev6gr55h2noy54j3artbtzm

NTNU: An Unsupervised Knowledge Approach for Taxonomy Extraction

Bamfa Ceesay, Wen Juan Hou
2015 Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)  
relationship between two terms.  ...  Given a set of terms in a particular domain, the approach in this study uses Wikipedia and WordNet as knowledge sources and applies the information extraction methods to analyze and establish the hyponym-hypernym  ...  However, semantic relatedness between concepts in a domain is an important clue to extracting their taxonomy relationships.  ... 
doi:10.18653/v1/s15-2156 dblp:conf/semeval/CeesayH15 fatcat:lczpfylr4fe4fohqzi4pcwmzhu

Exploring Wikipedia and DMoz as Knowledge Bases for Engineering a User Interests Hierarchy for Social Network Applications [chapter]

Mandar Haridas, Doina Caragea
2009 Lecture Notes in Computer Science  
The second approach uses the Wikipedia Category Graph to extract relationships between interests, while the third approach uses Directory Mozilla to extract relationships between interests.  ...  The proposed approaches make use of two popular knowledge bases, Wikipedia and Directory Mozilla, to extract interest definitions and/or relationships between interests.  ...  Such relationships between categories are extracted from the WCG. The WCG based approach serves the purpose of assigning semantics to newly formed clusters in the hierarchy.  ... 
doi:10.1007/978-3-642-05151-7_35 fatcat:ybs2bxhqyjgj3bs7bwsx7p32oe

An Efficient Approach For Semantically-Enhanced Document Clustering By Using Wikipedia Link Structure

Iyad AlAgha, Rami Nafee
2014 International Journal of Artificial Intelligence & Applications  
Traditional techniques of document clustering do not consider the semantic relationships between words when assigning documents to clusters.  ...  Second, it is more time efficient as it applies an algorithm for phrase extraction from documents prior to matching terms with Wikipedia.  ...  Rather than relying on domain specific and limited coverage ontologies, some approaches have used Wikipedia concepts and category information to enrich document representation and handle the semantic relationships  ... 
doi:10.5121/ijaia.2014.5605 fatcat:adhak2f6gbgcnf22wfkflijaom

Building a biomedical semantic network in Wikipedia with Semantic Wiki Links

B. M. Good, E. L. Clarke, S. Loguercio, A. I. Su
2012 Database: The Journal of Biological Databases and Curation  
Structuring semantic relationships Whenever a SWL is inserted into a Wikipedia article, the article containing it is assigned to a Wikipedia category indicating the relationship type employed (e.g.  ...  DBpedia is a Web-accessible RDF database constructed automatically by extracting data from the few consistently structured parts of Wikipedia pages such as categories and 'infoboxes'.  ... 
doi:10.1093/database/bar060 pmid:22434829 pmcid:PMC3308151 fatcat:uab5c5vdsnahpk2csmh5jchupm

Exploring semantically-related concepts from Wikipedia: the case of SeRE [article]

Daniel Hienert, Dennis Wegener, Siegfried Schomisch
2015 arXiv   pre-print
We use the Wikipedia full text body to compute the semantic relatedness for extracted terms, which results in a list of entities that are most relevant for a topic.  ...  For any given query, the user interface of SeRE visualizes these related concepts, ordered by semantic relatedness; with snippets from Wikipedia articles that explain the connection between those two entities  ...  Wikipedia and the semantic databases built on it (notably DBpedia and YAGO) have been frequently used for the visualization of relationships between concepts or the hierarchical access via facets.  ... 
arXiv:1504.07071v1 fatcat:lcs77knjr5azdpvhqzhxebizcq

Autopedia

Conglei Yao, Xu Jia, Sicong Shou, Shicong Feng, Feng Zhou, Hongyan Liu
2011 Proceedings of the 20th international conference companion on World wide web - WWW '11  
between the input concept and its sibling concepts, performs the best.  ...  Experimental results on 4, 526 concepts validate the effectiveness of Autopedia, and the wikipedia template selection approach which takes into account both the template quality and the semantic relatedness  ...  After that, for each sibling concept, we can get its categories in Wikipedia, and establish the relation between it and the hidden templates of these categories.  ... 
doi:10.1145/1963192.1963274 dblp:conf/www/YaoJSFZL11 fatcat:y7deducax5h2nhw7sw747lxrqi

Creating a Phrase Similarity Graph from Wikipedia

Lubomir Stanchev
2014 2014 IEEE International Conference on Semantic Computing  
The paper addresses the problem of modeling the relationship between phrases in English using a similarity graph.  ...  Both structured data from Wikipedia, such as that the Wikipedia page with title "Dog" belongs to the Wikipedia category "Domesticated animals", and textual descriptions, such as that the Wikipedia page  ...  We also extracted the text from every Wikipedia page and created links between Wikipedia pages, Wikipedia categories, and word forms from WordNet.  ... 
doi:10.1109/icsc.2014.22 dblp:conf/semco/Stanchev14 fatcat:jozxi2nwqjgs5hymbk6vih5lju

Using Semantic Resources in Image Retrieval

Adrian Iftene, Baboi Alexandra-Mihaela
2016 Procedia Computer Science  
In this paper, we present a system designed to perform diversification in an image retrieval system, using semantic resources like YAGO, Wikipedia and WordNet.  ...  If the extracted subject cannot be matched to any WordNet concept or if the WordNet concept is not linked to any Wikipedia category class by a subClassOf relationship, the query expansion will not be possible  ...  YAGO links Wikipedia entities by a type (instanceOf) relationship to Wikipedia leaf category classes (e.g., the article about Max Plank is in the category of Optical Physicists, so he is an optical physicist  ... 
doi:10.1016/j.procs.2016.08.093 fatcat:uc5qwzwqinh7dfddtr6uejyyaq
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