Zhe Wang

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Zhe Wang is an author.

Publications

Only those publications related to wikis are shown here.
Title Keyword(s) Published in Language DateThis property is a special property in this wiki. Abstract R C
Learning to compute semantic relatedness using knowledge from wikipedia Semantic relatedness
Supervised Learning
Wikipedia
Lecture Notes in Computer Science English 2014 Recently, Wikipedia has become a very important resource for computing semantic relatedness (SR) between entities. Several approaches have already been proposed to compute SR based on Wikipedia. Most of the existing approaches use certain kinds of information in Wikipedia (e.g. links, categories, and texts) and compute the SR by empirically designed measures. We have observed that these approaches produce very different results for the same entity pair in some cases. Therefore, how to select appropriate features and measures to best approximate the human judgment on SR becomes a challenging problem. In this paper, we propose a supervised learning approach for computing SR between entities based on Wikipedia. Given two entities, our approach first maps entities to articles in Wikipedia; then different kinds of features of the mapped articles are extracted from Wikipedia, which are then combined with different relatedness measures to produce nine raw SR values of the entity pair. A supervised learning algorithm is proposed to learn the optimal weights of different raw SR values. The final SR is computed as the weighted average of raw SRs. Experiments on benchmark datasets show that our approach outperforms baseline methods. 0 0
Boosting cross-lingual knowledge linking via concept annotation IJCAI International Joint Conference on Artificial Intelligence English 2013 Automatically discovering cross-lingual links (CLs) between wikis can largely enrich the cross-lingual knowledge and facilitate knowledge sharing across different languages. In most existing approaches for cross-lingual knowledge linking, the seed CLs and the inner link structures are two important factors for finding new CLs. When there are insufficient seed CLs and inner links, discovering new CLs becomes a challenging problem. In this paper, we propose an approach that boosts cross-lingual knowledge linking by concept annotation. Given a small number of seed CLs and inner links, our approach first enriches the inner links in wikis by using concept annotation method, and then predicts new CLs with a regression-based learning model. These two steps mutually reinforce each other, and are executed iteratively to find as many CLs as possible. Experimental results on the English and Chinese Wikipedia data show that the concept annotation can effectively improve the quantity and quality of predicted CLs. With 50,000 seed CLs and 30% of the original inner links in Wikipedia, our approach discovered 171,393 more CLs in four runs when using concept annotation. 0 0
Discovering missing semantic relations between entities in Wikipedia Infobox
Linked data
Wikipedia
Lecture Notes in Computer Science English 2013 Wikipedia's infoboxes contain rich structured information of various entities, which have been explored by the DBpedia project to generate large scale Linked Data sets. Among all the infobox attributes, those attributes having hyperlinks in its values identify semantic relations between entities, which are important for creating RDF links between DBpedia's instances. However, quite a few hyperlinks have not been anotated by editors in infoboxes, which causes lots of relations between entities being missing in Wikipedia. In this paper, we propose an approach for automatically discovering the missing entity links in Wikipedia's infoboxes, so that the missing semantic relations between entities can be established. Our approach first identifies entity mentions in the given infoboxes, and then computes several features to estimate the possibilities that a given attribute value might link to a candidate entity. A learning model is used to obtain the weights of different features, and predict the destination entity for each attribute value. 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 baseline methods in terms of both precision and recall. 0 0
Building a large scale knowledge base from Chinese Wiki Encyclopedia Knowledge base
Linked data
Ontology
Semantic web
Lecture Notes in Computer Science English 2012 DBpedia has been proved to be a successful structured knowledge base, and large scale Semantic Web data has been built by using DBpedia as the central interlinking-hubs of the Web of Data in English. But in Chinese, due to the heavily imbalance in size (no more than one tenth) between English and Chinese in Wikipedia, there are few Chinese linked data are published and linked to DBpedia, which hinders the structured knowledge sharing both within Chinese resources and cross-lingual resources. This paper aims at building large scale Chinese structured knowledge base from Hudong, which is one of the largest Chinese Wiki Encyclopedia websites. In this paper, an upper-level ontology schema in Chinese is first learned based on the category system and Infobox information in Hudong. Totally, there are 19542 concepts are inferred, which are organized in hierarchy with maximally 20 levels. 2381 properties with domain and range information are learned according to the attributes in the Hudong Infoboxes. Then, 802593 instances are extracted and described using the concepts and properties in the learned ontology. These extracted instances cover a wide range of things, including persons, organizations, places and so on. Among all the instances, 62679 of them are linked to identical instances in DBpedia. Moreover, the paper provides RDF dump or SPARQL to access the established Chinese knowledge base. The general upper-level ontology and wide coverage makes the knowledge base a valuable Chinese semantic resource. It not only can be used in Chinese linked data building, the fundamental work for building multi lingual knowledge base across heterogeneous resources of different languages, but also can largely facilitate many useful applications of large-scale knowledge base such as knowledge question-answering and semantic search. 0 0
Chinese word similarity computing 3D model
Hownet
Specific corpus
Wikipedia
Proceedings - 2012 3rd IEEE International Conference on Network Infrastructure and Digital Content, IC-NIDC 2012 English 2012 This paper studies Chinese word similarity computing. A 3D model is proposed for representing word meaning based on different points of view. The first one is the view of primitive from Hownet, the second one is the view of words' occurrence in sentences from a specific corpus, and the third one is the view of well known background knowledge from online resources. A Chinese content word is represented in a 3D model. Similarity of two words is computed according to it. Experiments on Chinese news have shown that this method could perform better than existed ones based only on one point of view. 0 0
Cross-lingual knowledge linking across wiki knowledge bases Cross-language
Knowledge linking
Knowledge sharing
Wiki knowledge base
WWW'12 - Proceedings of the 21st Annual Conference on World Wide Web English 2012 Wikipedia becomes one of the largest knowledge bases on the Web. It has attracted 513 million page views per day in January 2012. However, one critical issue for Wikipedia is that articles in different language are very unbalanced. For example, the number of articles on Wikipedia in English has reached 3.8 million, while the number of Chinese articles is still less than half million and there are only 217 thousand cross-lingual links between articles of the two languages. On the other hand, there are more than 3.9 million Chinese Wiki articles on Baidu Baike and Hudong.com, two popular encyclopedias in Chinese. One important question is how to link the knowledge entries distributed in different knowledge bases. This will immensely enrich the information in the online knowledge bases and benefit many applications. In this paper, we study the problem of cross-lingual knowledge linking and present a linkage factor graph model. Features are defined according to some interesting observations. Experiments on the Wikipedia data set show that our approach can achieve a high precision of 85.8% with a recall of 88.1%. The approach found 202,141 new cross-lingual links between English Wikipedia and Baidu Baike. 0 0
Approach of Web2.0 application pattern applied to the information teaching Blogs
Information Teaching
Web 2.0
Wiki
Communications in Computer and Information Science English 2011 This paper firstly focuses on the development and function of Web2.0 from an educational perspective. Secondly, it introduces the features and theoretical foundation of Web 2.0. Consequently, The application pattern used in the information teaching based on the introduction described above is elaborated and proved to be an effective way of increasing educational productivity. Lastly, this paper presents the related cases and teaching resources for reference. 0 0
Collaborative learning in wikis Collaborative learning
Constructive learning
Wiki
Education for Information English 2010 Wikis are a supporting tool for pupils' learning and collaboration. Tasks such as cooperative authoring, joined workbooks creation, document review, group assignments, reflection notes and others have been tried out using wikis as a facilitating tool [1]. However, few studies have reported how students actually perceive some well-claimed benefits. This study investigated the perception of earning activities facilitated by wikis, and the effectiveness of several roles wikis might play in constructive and collaborative learning. This study tried to answer the following questions. How do students perceive a wiki as a learning tool? How does a wiki support constructive learning skills? How does a wiki support student's collaborative learning skills? How does collaboration in wiki facilitate students' content learning and project work? The study was conducted using a survey method to examine the perception of wiki usage and collaborative and constructive learning. In the reported study, a questionnaire was used to gather data from 92 graduate students. The results suggest that using wikis were perceived to enhance collaborative knowledge building among students, but it did not contribute much to learning the subject matter although students were more involved in the learning process than with conventional teaching methods. In other words, it indicates that students may not obtain better return of investment on the time spent in using wiki as a learning tool. While wiki did contribute to enrich the learning experience, further study is needed to investigate how to link the learning process with learning outcomes using this type of collaboration tools. © 2010/2011 - IOS Press and the authors. All rights reserved. 0 0
Integration of Wikipedia and a geography digital library Geography digital libraries
Integration
Web-based encyclopedia
Lecture Notes in Computer Science English 2006 In this paper, we address the problem of integrating Wikipedia, an online encyclopedia, and G-Portal, a web-based digital library, in the geography domain. The integration facilitates the sharing of data and services between the two web applications that are of great value in learning. We first present an overall system architecture for supporting such an integration and address the metadata extraction problem associated with it. In metadata extraction, we focus on extracting and constructing metadata for geo-political regions namely cities and countries. Some empirical performance results will be presented. The paper will also describe the adaptations of G-Portal and Wikipedia to meet the integration requirements. 0 0
Understanding User Perceptions on Usefulness and Usability of an Integrated Wiki-G-Portal Digital Libraries: Achievements, Challenges and Opportunities English 2006 This paper describes a pilot study on Wiki-G-Portal, a project integrating Wikipedia, an online encyclopedia, into G-Portal, a Web-based digital library, of geography resources. Initial findings from the pilot study seemed to suggest positive perceptions on usefulness and usability of Wiki-G-Portal, as well as subjects’ attitude and intention to use. 0 0
Understanding user perceptions on usefulness and usability of an integrated Wiki-G-Portal Lecture Notes in Computer Science English 2006 This paper describes a pilot study on Wiki-G-Portal, a project integrating Wikipedia, an online encyclopedia, into G-Portal, a Web-based digital library, of geography resources. Initial findings from the pilot study seemed to suggest positive perceptions on usefulness and usability of Wiki-G-Portal, as well as subjects' attitude and intention to use. 0 0