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Context Based Wikipedia Linking [chapter]

Michael Granitzer, Christin Seifert, Mario Zechner
2009 Lecture Notes in Computer Science  
Automatically linking Wikipedia pages can be done either content based by exploiting word similarities or structure based by exploiting characteristics of the link graph.  ...  The relevance calculation is based on the context, i.e. the surrounding text of a link candidate.  ...  Conclusion In this paper we have outlined context based methods for automatically detecting links between Wikipedia pages.  ... 
doi:10.1007/978-3-642-03761-0_36 fatcat:g42nai73d5dqpjiawtujg5w7fq

Analysing Entity Context in Multilingual Wikipedia to Support Entity-Centric Retrieval Applications [chapter]

Yiwei Zhou, Elena Demidova, Alexandra I. Cristea
2015 Lecture Notes in Computer Science  
We discuss alternative ways such contexts can be built, including graph-based and article-based contexts.  ...  Furthermore, we analyse the similarities and the differences in these contexts in a case study including 80 entities and five Wikipedia language editions.  ...  We use Wikipedia as a knowledge base to build such language-specific entity contexts.  ... 
doi:10.1007/978-3-319-27932-9_17 fatcat:vshzpjqpmvdalmgmscjhgrjsii

Entity Disambiguation with Web Links

Andrew Chisholm, Ben Hachey
2015 Transactions of the Association for Computational Linguistics  
We explore whether web links can replace a curated encyclopaedia, obtaining entity prior, name, context, and coherence models from a corpus of web pages with links to Wikipedia.  ...  Experiments compare web link models to Wikipedia models on well-known conll and tac data sets. Results show that using 34 million web links approaches Wikipedia performance.  ...  They address the problem by building a topic model based on Wikipedia mention link contexts.  ... 
doi:10.1162/tacl_a_00129 fatcat:gsykvrjypzg4fpsnwdq5uew4ma

CPRel: Semantic Relatedness Computation Using Wikipedia based Context Profiles

Shahida Jabeen, Xiaoying Gao, Peter Andreae
2013 Research in Computing Science  
Proposed research makes use of Wikipedia to represent the context of a word in the high dimensional space of Wikipedia labels.  ...  Semantic relatedness of a word pair is then assessed by comparing their corresponding context profiles based on three different weighting schemes using traditional Cosine similarity metrics.  ...  Milne and Witten [22] used Wikipedia hyperlink structure to compute semantic relatedness based on in-link and out-link overlaps.  ... 
doi:10.13053/rcs-70-1-5 fatcat:bujar6a3xncj3eax3on5rhmqd4

AIDArabic A Named-Entity Disambiguation Framework for Arabic Text

Mohamed Amir Yosef, Marc Spaniol, Gerhard Weikum
2014 Proceedings of the EMNLP 2014 Workshop on Arabic Natural Language Processing (ANLP)  
knowledge base distilled from Wikipedia.  ...  as disambiguation context.  ...  Figure 1: AIDArabic Architecture Table 2 : 2 Entities Context Sources Context Source Arabic Wikipedia English Wikipedia Anchor Text + - Categories + + Title of Incoming Links + +  ... 
doi:10.3115/v1/w14-3626 dblp:conf/wanlp/YosefSW14 fatcat:c5nwuwcwazeglkiowgfi427oya


Marek Ciglan, Kjetil Nørvåg
2010 Proceedings of the 19th ACM international conference on Information and knowledge management - CIKM '10  
The WikiPop system allows a user to define a context by stating a set of Wikipedia articles describing topics of interest.  ...  The system is then able to search, for the given date, for popular topics related to the user defined context.  ...  The novelty of our approach is the utilization of the knowledge base (Wikipedia link graph) to identify the topics that might be of interest to the user based on a defined user context.  ... 
doi:10.1145/1871437.1871769 dblp:conf/cikm/CiglanN10 fatcat:pxvzw7lhuze3rkexd57d4mkuu4

Linking Web Resources in Web of Data to Encyclopedic Knowledge Base

Farzam Matinfar
2020 Open Computer Science  
Given an input web resource, the designed system identifies the topic of the web resource and links it to the corresponding Wikipedia article.  ...  the web of data can be linked to this encyclopedia.  ...  to link RDF pages in the web of data to the corresponding pages in the Wikipedia knowledge base.  ... 
doi:10.1515/comp-2020-0102 fatcat:7dnrb2c2cfhsdgzymhjxfynrbe

What's New? Analysing Language-Specific Wikipedia Entity Contexts to Support Entity-Centric News Retrieval [chapter]

Yiwei Zhou, Elena Demidova, Alexandra I. Cristea
2017 Lecture Notes in Computer Science  
First, we discuss alternative ways such contexts can be built, including Graph-based and Article-based approaches.  ...  Second, we analyse the similarities and the differences in these contexts in a case study including 220 entities and five Wikipedia language editions.  ...  The context-based information retrieval model using all the contexts, no matter they are Article-based or Graph-based, no matter they are extracted from English Wikipedia or German Wikipedia, achieved  ... 
doi:10.1007/978-3-319-59268-8_10 fatcat:gkeuf6fhm5ctzglpsh4x4qjnjm

Using Wikipedia as an External Knowledge Source for Supporting Contextual Disambiguation

Shahida Jabeen, Xiaoying Gao, Peter Andreae
2012 Journal of Software Engineering and Applications  
We experimented with the semantically rich Wikipedia senses and hyperlinks for context disambiguation.  ...  The main focus of this research is on using Wikipedia as the external knowledge source to decipher the true meaning of each term using a single term as the context.  ...  using Wikipedia hyperlink based 1) Context Extraction: We start with identification of all possible contexts corresponding to each input term based on Wikipedia senses.  ... 
doi:10.4236/jsea.2012.512b034 fatcat:pvo26k5tifd5njbzychgrekdmm


Peng Jiang, Huiman Hou, Lijiang Chen, Shimin Chen, Conglei Yao, Chengkai Li, Min Wang
2013 Proceedings of the sixth ACM international conference on Web search and data mining - WSDM '13  
We exploit article link feature and category structure in Wikipedia, followed by introducing Wiki3C, an unsupervised and domain independent concept categorization approach based on context.  ...  Wikipedia is an important human generated knowledge base containing over 21 million articles organized by millions of categories.  ...  The relatedness measuring is based on the comparison of link structures 2 in Wikipedia articles.  ... 
doi:10.1145/2433396.2433441 dblp:conf/wsdm/JiangHCCYLW13 fatcat:ma2y3c5ebzbzlfeqb5lhgjkqoq

Discovering Missing Semantic Relations between Entities in Wikipedia [chapter]

Mengling Xu, Zhichun Wang, Rongfang Bie, Juanzi Li, Chen Zheng, Wantian Ke, Mingquan Zhou
2013 Lecture Notes in Computer Science  
However, quite a few hyperlinks have not been anotated by editors in infoboxes, which causes lots of relations between entities being missing in Wikipedia.  ...  We evaluated our approach on the English Wikipedia data, the experimental results show that our approach can effectively find the missing relations between entities, and it significantly outperforms the  ...  [11] proposed a learning based approach for linking entities in text to Wikipedia.  ... 
doi:10.1007/978-3-642-41335-3_42 fatcat:gdcjpxlb2vbatds5gspctccfc4

HITS' Cross-lingual Entity Linking System at TAC 2011: One Model for All Languages

Angela Fahrni, Michael Strube
2011 Text Analysis Conference  
A multilingual knowledge base derived from Wikipedia is at the core of the system.  ...  We approach the task in three stages: (1) context disambiguation to obtain a language-independent representation, (2) entity disambiguation, (3) clustering of the queries that have not been linked in the  ...  context are extracted and stored together with the linked Wikipedia article and the respective idf values in an index.  ... 
dblp:conf/tac/Fahrni011 fatcat:2no7z56dyzgcppt2y674z3iouy

Semantic Relatedness Metric for Wikipedia Concepts Based on Link Analysis and its Application to Word Sense Disambiguation

Denis Turdakov, Pavel Velikhov
2008 Spring Young Researchers Colloquium on Databases and Information Systems  
Wikipedia has grown into a high quality up-todate knowledge base and can enable many knowledge-based applications, which rely on semantic information.  ...  We propose to use a simple measure of similarity between Wikipedia concepts, based on Dice's measure, and provide very efficient heuristic methods to compute top k ranking results.  ...  the context and the term in Wikipedia.  ... 
dblp:conf/syrcodis/TurdakovV08 fatcat:m7unlk5gwbhbzbmyne6lvvmrhq

UKP-UBC Entity Linking at TAC-KBP

Nicolai Erbs, Iryna Gurevych, Torsten Zesch, Eneko Agirre, Aitor Soroa, Ander Barrena, Ugaitz Etxebarria
2012 Text Analysis Conference  
This paper describes our system for the entity linking task at TAC KBP 2012. We developed a supervised system using dictionarybased, similarity-based, and graph-based features.  ...  We use two Wikipedia versions with different timestamps to enrich the knowledge base and develop an algorithm for mapping between the two Wikipedia versions.  ...  The context is transformed from a list of words to lists of Wikipedia articles. Wikipedia incoming links As a baseline approach, we use the number of incoming links between two articles in Wikipedia.  ... 
dblp:conf/tac/ErbsGZASBE12 fatcat:bkrbbczsgrhvff3bpgt6zgoai4

Combining Heuristics and Learning for Entity Linking [chapter]

Hien T. Nguyen
2014 Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering  
exploiting some heuristics based on the contexts and coreference relations among name strings.  ...  Entity linking refers to the task of mapping name strings in a text to their corresponding entities in a given knowledge base.  ...  The method exploits some heuristics based on the contexts and coreference relations, and learns coherence among co-occurrence entities within the text based on Wikipedia's link structure.  ... 
doi:10.1007/978-3-319-14227-2_36 fatcat:dk5sezoqb5brzhlzo264h7g6hy
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