Ontology

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Ontology is included as keyword or extra keyword in 0 datasets, 0 tools and 16 publications.

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Publications

Title Author(s) Published in Language DateThis property is a special property in this wiki. Abstract R C
The people's encyclopedia under the gaze of the sages: a systematic review of scholarly research on Wikipedia Chitu Okoli
Mohamad Mehdi
Mostafa Mesgari
Finn Årup Nielsen
Arto Lanamäki
English 2012 Wikipedia has become one of the ten most visited sites on the Web, and the world’s leading source of Web reference information. Its rapid success has inspired hundreds of scholars from various disciplines to study its content, communication and community dynamics from various perspectives. This article presents a systematic review of scholarly research on Wikipedia. We describe our detailed, rigorous methodology for identifying over 450 scholarly studies of Wikipedia. We present the WikiLit website (http wikilit dot referata dot com), where most of the papers reviewed here are described in detail. In the major section of this article, we then categorize and summarize the studies. An appendix features an extensive list of resources useful for Wikipedia researchers. 15 0
Building ontological models from Arabic Wikipedia: a proposed hybrid approach Nora I. Al-Rajebah
Hend S. Al-Khalifa
AbdulMalik S. Al-Salman
IiWAS English 2010 0 0
Frequent itemset based hierarchical document clustering using Wikipedia as external knowledge G. V. R. Kiran
Ravi Shankar
Vikram Pudi
KES English 2010 0 0
Ontology-driven generation of wiki content and interfaces Angelo Di Iorio
Alberto Musetti
Silvio Peroni
Fabio Vitali
New Rev. Hypermedia Multimedia English 2010 0 0
Semantic Web for E-Governance Using Wiki Technology Vidya Gavekar
Manisha A. Kumbhar
Anil D. Kumbhar
ICETET English 2010 0 0
Timely YAGO: harvesting, querying, and visualizing temporal knowledge from Wikipedia Yafang Wang
Mingjie Zhu
Lizhen Qu
Marc Spaniol
Gerhard Weikum
EDBT English 2010 0 0
"All You Can Eat" Ontology-Building: Feeding Wikipedia to Cyc Samuel Sarjant
Catherine Legg
Michael Robinson
Olena Medelyan
WI-IAT English 2009 In order to achieve genuine web intelligence, building some kind of large general machine-readable conceptual scheme (i.e. ontology) seems inescapable. Yet the past 20 years have shown that manual ontology-building is not practicable. The recent explosion of free user-supplied knowledge on the Web has led to great strides in automatic ontology-building, but quality-control is still a major issue. Ideally one should automatically build onto an already intelligent base. We suggest that the long-running Cyc project is able to assist here. We describe methods used to add 35K new concepts mined from Wikipedia to collections in ResearchCyc entirely automatically. Evaluation with 22 human subjects shows high precision both for the new concepts’ categorization, and their assignment as individuals or collections. Most importantly we show how Cyc itself can be leveraged for ontological quality control by ‘feeding’ it assertions one by one, enabling it to reject those that contradict its other knowledge. 0 0
Identifying document topics using the Wikipedia category network Peter Schönhofen Web Intelli. and Agent Sys. English 2009 In the last few years the size and coverage of Wikipedia, a community edited, freely available on-line encyclopedia has reached the point where it can be effectively used to identify topics discussed in a document, similarly to an ontology or taxonomy. In this paper we will show that even a fairly simple algorithm that exploits only the titles and categories of Wikipedia articles can characterize documents by Wikipedia categories surprisingly well. We test the reliability of our method by predicting categories of Wikipedia articles themselves based on their bodies, and also by performing classification and clustering on 20 Newsgroups and RCV1, representing documents by their Wikipedia categories instead of (or in addition to) their texts. 0 1
Mining meaning from Wikipedia Olena Medelyan
David N. Milne
Catherine Legg
Ian H. Witten
Int. J. Hum.-Comput. Stud. English 2009 0 4
Organización de información en herramientas wiki: aplicación de ontologías en wikis semánticos Jesús Tramullas
Piedad Garrido-Picazo
IX Congreso ISKO España, Nuevas perspectivas para la difusión y organización del conocimiento, Univ. Politécnica de Valencia Spanish 2009 This work checks the methods and techniques applied to software tools and platforms known as semantic wikis. It is carried out a revision of the available bibliography on the subject and the main features provided for the several tools have been pointed out. The analysis let us to confirm the variety of the semantic methods and techniques put into practice, and that the available products, in present-day status, they are not ready to be used by management information systems yet. 0 0
WikiOnto: A System for Semi-automatic Extraction and Modeling of Ontologies Using Wikipedia XML Corpus Lalindra Niranjan De Silva
Lakshman Jayaratne
ICSC English 2009 0 0
Ontology enhanced web image retrieval: aided by wikipedia \& spreading activation theory Huan Wang
Xing Jiang
Liang-Tien Chia
Ah-Hwee Tan
MIR English 2008 0 0
Wikipedia in Action: Ontological Knowledge in Text Categorization Maciej Janik
Krys J. Kochut
ICSC English 2008 0 0
YAGO: A Large Ontology from Wikipedia and WordNet F. Suchanek
G. Kasneci
G. Weikum
Web Semantics: Science, Services and Agents on the World Wide Web English 2008 This article presents YAGO, a large ontology with high coverage and precision. YAGO has been automatically derived from Wikipedia and WordNet. It comprises entities and relations, and currently contains more than 1.7 million entities and 15 million facts. These include the taxonomic Is-A hierarchy as well as semantic relations between entities. The facts for YAGO have been extracted from the category system and the infoboxes of Wikipedia and have been combined with taxonomic relations from WordNet. Type checking techniques help us keep YAGO’s precision at 95%—as proven by an extensive evaluation study. YAGO is based on a clean logical model with a decidable consistency. Furthermore, it allows representing n-ary relations in a natural way while maintaining compatibility with RDFS. A powerful query model facilitates access to YAGO’s data. 0 1
OntoWiki: Commuity-driven Ontology Engineering and Ontology Usage based on Wikis Martin Hepp
Daniel Bachlechner
Katharina Siorpaes
WikiSym English 2006 0 1
Wiki Communities in the Context of Work Processes Frank Fuchs-Kittowski
Andre Köhler
WikiSym English 2005 In this article we examine the integration of communities of practice supported by a wiki into work processes. Linear structures are often inappropriate for the execution of knowledge-intensive tasks and work processes. The latter are characterized by non-linear sequences and dynamic social interaction. Communities of practice, however, often lack the „guiding light” needed to structure their work. We discuss the primary requirements for the integration of formally described knowledge-intensive processes into the dynamic social processes of knowledge generation in communities of practice and use the wiki approach for their support. We present our approach for an appropriate interface to integrate wiki communities into process structures and an information retrieval algorithm based on it to connect the process-oriented structures with community-oriented wiki structures. We show the prototypical realization of the concept by a brief example. 0 1
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