A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Filters
Entity Disambiguation with Freebase
2012
2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology
Preserved Fulltext
Instead, we leverage two features of Freebase, namely the naturally disambiguated mention phrases (aka aliases) and the rich taxonomy, to perform disambiguation in an iterative manner. ...
Specifically, we explore both generative and discriminative models for each iteration. ...
taxonomy information as the RT methods. ...
doi:10.1109/wi-iat.2012.26
dblp:conf/webi/ZhengSLCZ12
fatcat:qpk4a5343baj7ovkxjunn3v7oq
Generating Information-Rich Taxonomy Using Wikipedia
Wikipedia を利用した上位下位関係の詳細化
2012
Journal of Natural Language Processing
Wikipedia を利用した上位下位関係の詳細化
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
In this paper, we propose a method of making (vague) hypernyms more specific ex- ploting Wikipedia. ...
However, the informativeness of acquired hypernyms has not been sufficiently discussed. ...
"Automatic Extraction of Hyponyms from Japanese Newspaper Using Lexico-syntactic Patterns." ...
doi:10.5715/jnlp.19.3
fatcat:7qhw4uhgxvejza3wfrdagpbibi
Building a Large-Scale Cross-Lingual Knowledge Base from Heterogeneous Online Wikis
[chapter]
2015
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Particularly, XLORE integrates four online wikis including English Wikipedia, Chinese Wikipedia, Baidu Baike and Hudong Baike to balance the knowledge volume in different languages, employs a link-discovery ...
method to augment the cross-lingual links, and introduces a pruning approach to refine taxonomy. ...
It extracts various kinds of structured information from Wikipedia and employs the multi-lingual characteristic of Wikipedia to generate 97 language versions of content. ...
doi:10.1007/978-3-319-25207-0_37
fatcat:n244qtdjibcplbwgznp5tcf63m
Comparing Taxonomies for Organising Collections of Documents
2012
International Conference on Computational Linguistics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
We use these taxonomies to organise items from a large online cultural heritage collection. We then present two human evaluations of the taxonomies. ...
This paper examines four existing taxonomies that have been manually created, along with two methods for deriving taxonomies automatically from data items. ...
Wikipedia Taxonomy Wikipedia Taxonomy (Ponzetto and Strube, 2011 ) is a taxonomy derived from Wikipedia categories. ...
dblp:conf/coling/FernandoHASCS12
fatcat:5753cgj6inhh5pnr6btau2l4v4
Large-Scale Taxonomy Mapping for Restructuring and Integrating Wikipedia
2009
International Joint Conference on Artificial Intelligence
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
The file type is application/pdf.
We present a knowledge-rich methodology for disambiguating Wikipedia categories with WordNet synsets and using this semantic information to restructure a taxonomy automatically generated from the Wikipedia ...
Besides, we assess these methods on automatically generated datasets and show that we are able to effectively enrich WordNet with a large number of instances from Wikipedia. ...
Recent years have witnessed a considerable amount of work in information extraction to generate structured semantic content from Wikipedia. ...
dblp:conf/ijcai/PonzettoN09
fatcat:tmow6sowjvadpkqppsh3akmary
LINDEN
2012
Proceedings of the 21st international conference on World Wide Web - WWW '12
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2012; you can also visit the original URL.
The file type is application/pdf.
In this paper, we propose LINDEN 1 , a novel framework to link named entities in text with a knowledge base unifying Wikipedia and Word-Net, by leveraging the rich semantic knowledge embedded in the Wikipedia ...
and the taxonomy of the knowledge base. ...
The main contributions of this paper are summarized as follows. • We present LINDEN, a novel framework which leverages the rich semantic information derived from Wikipedia and the taxonomy of the knowledge ...
doi:10.1145/2187836.2187898
dblp:conf/www/ShenWLW12
fatcat:sshcibzw2zabbpockzdbzxud6i
Towards the Natural Ontology of Wikipedia
2013
International Semantic Web Conference
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Hence, this ontology reflects the richness of terms used and agreed by the crowds, and can be updated periodically according to the evolution of Wikipedia. ...
In this paper we present preliminary results on the extraction of ORA: the Natural Ontology of Wikipedia. ...
Related work The DBpedia project [4] and YAGO [7] are the most relevant approaches at generating an ontology from semi-structured information in Wikipedia. ...
dblp:conf/semweb/NuzzoleseGPC13
fatcat:nnm4vq46abbpfabamar7z3cksi
XLORE2: Large-scale Cross-lingual Knowledge Graph Construction and Application
2019
Data Intelligence
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
We present XLORE2, an extension of the XLORE that is built automatically from Wikipedia, Baidu Baike and Hudong Baike. ...
Several projects construct KBs from Wikipedia, e.g., DBpedia [1], YAGO [2] and BabelNet [3]. Nevertheless, they have different focuses. ...
The taxonomy directly derived from Wikipedia usually contains many mistakenly imported subClassOf and instanceOf relations. ...
doi:10.1162/dint_a_00003
dblp:journals/dint/JinLZHLZ19
fatcat:zdcq2gfyirc2ba4s6scxtytsna
Collaboratively built semi-structured content and Artificial Intelligence: The story so far
2013
Artificial Intelligence
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
The results show that an open information extraction system can benefit greatly from a general-purpose, self-supervised extractor using dependency parse-level information (thus supporting related findings ...
These include taxonomies, as well as their generalization to fully-structured knowledge models, i.e., ontologies. ...
doi:10.1016/j.artint.2012.10.002
fatcat:mwk5o254urb2dejsh7c224uu3q
Learning to Discover Subsumptions between Software Engineering Concepts in Wikipedia
2016
Proceedings of the 28th International Conference on Software Engineering and Knowledge Engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Wikipedia contains large-scale concepts and rich semantic information. A number of knowledge base construction projects such as WikiTaxonomy, DBpedia, and YAGO have acquired data from Wikipedia. ...
Compared with the taxonomies which are extracted from general-purpose knowledge bases such as WikiTaxonomy, YAGO and Schema.org, our dataset has a larger scale in software engineering domain. ...
Second, in order to get structural information from Wikipedia, we dump the Wikipedia XML file (https://dumps.wikimedia.org/enwiki/20150901/) and obtain a large-scale set which contains 5,027,000+ concepts ...
doi:10.18293/seke2016-021
dblp:conf/seke/DongCZS16
fatcat:f226amaa35eafndsk4yksktmhy
SEMANTIC SIMILARITY MEASUREMENT FOR MALAY WORDS USING WORDNET BAHASA AND WIKIPEDIA BAHASA MELAYU: ISSUES AND PROPOSED SOLUTIONS
2020
International Journal of Software Engineering and Computer Systems
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
WordNet Bahasa (WB) and Wikipedia Bahasa Melayu (WikiBM) are the example of lexical resources for Malay language. However, these lexical resources are still ongoing and limited semantic information. ...
Knowledge-based lexical resources like WordNet and Wikipedia are useful for this task. ...
Semantic information provided by WordNet Bahasa can be presented in semantic taxonomic form. Hypernym relations (IS-A) are used to generate semantic taxonomy. ...
doi:10.15282/ijsecs.6.1.2020.4.0067
fatcat:74rnf2kvonce5onhwseqnuhhm4
YAGO 4: A Reason-able Knowledge Base
[chapter]
2020
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
In this resource paper, we present its latest version, YAGO 4, which reconciles the rigorous typing and constraints of schema.org with the rich instance data of Wikidata. ...
The main idea of YAGO was to harvest information about entities from the infoboxes and categories of Wikipedia, and to combine this data with an ontological backbone derived from classes in WordNet [4 ...
-Shapes: The SHACL constraints used to generate YAGO 4. Table 2
shows statistics for the three YAGO 4 variants, generated from the Wikidata
N-Triples dump of November 25, 2019. ...
doi:10.1007/978-3-030-49461-2_34
fatcat:tawaoe3onbfljerzc6jq2iimfi
Taxonomy and clustering in collaborative systems: The case of the on-line encyclopedia Wikipedia
2007
Europhysics letters
Preserved Fulltext
The Internet Archive has a preservation copy of this work in our general collections.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2007 pre-print arXiv:0710.3058v1 fatcat:zbhdlcfeezf3djrpxhaskjhixq
In this paper we investigate the nature and structure of the relation between imposed classifications and real clustering in a particular case of a scale-free network given by the on-line encyclopedia Wikipedia ...
Regardless the statistically similar behaviour the two methods provide a rather different division of the articles, thereby signaling that the nature and presence of power laws is a general feature for ...
Another well-known example of information network is the on-line, user-generated encyclopedias Wikipedia available at http://www.wikipedia.org in several languages. ...
doi:10.1209/0295-5075/81/28006
fatcat:55eo5gmirnfnrcucdhe7zlpzaq
Taxonomy induction based on a collaboratively built knowledge repository
2011
Artificial Intelligence
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
We propose to derive a taxonomy from the system of categories in Wikipedia. ...
This allows us to generate a taxonomy from the Wikipedia category graph by performing the following task: for each pair of categories Subcat, Supercat where Subcat 3 is categorized into Supercat, decide ...
The first author has been supported by a PhD scholarship from KTF (09.003.2004). ...
doi:10.1016/j.artint.2011.01.003
fatcat:lqpmsockpjaedbtwruvn6fsxxq
Coupling Wikipedia Categories with Wikidata Statements for Better Semantics
2021
International Semantic Web Conference
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
is possible from a technical perspective thanks to the flexible data models of Wikipedia Categories and Wikidata statements and to the programmatic options provided by the Wikimedia Community. ...
We also outline how such a combination can bring an added value to the development of Wikipedia Projects as well as to the enhancement of knowledge-based systems. ...
) of the other one and consequently to eliminate non-transitive relations from the Wikipedia Category Graph for the generation of an "is a" taxonomy that can be used to drive semantic applications. ...
dblp:conf/semweb/TurkiTA21
fatcat:fk2d6c2cr5ekxdqud7f22lq2de
« Previous
Showing results 1 — 15 out of 5,576 results