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tag is included as keyword or extra keyword in 0 datasets, 0 tools and 18 publications.
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|Title||Author(s)||Published in||Language||DateThis property is a special property in this wiki.||Abstract||R||C|
|A bookmark recommender system based on social bookmarking services and wikipedia categories||Yoshida T.
|SNPD 2013 - 14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing||English||2013||Social book marking services allow users to add bookmarks of web pages with freely chosen keywords as tags. Personalized recommender systems recommend new and useful bookmarks added by other users. We propose a new method to find similar users and to select relevant bookmarks in a social book marking service. Our method is lightweight, because it uses a small set of important tags for each user to find useful bookmarks to recommend. Our method is also powerful, because it employs the Wikipedia category database to deal with the diversity of tags among users. The evaluation using the Hatena bookmark service in Japan shows that our method significantly increases the number of relevant bookmarks recommended without notable increase of irrelevant bookmarks.||0||0|
|Metadata management of models for resources and environment based on Web 2.0 technology||Lu Y.M.
|Communications in Computer and Information Science||English||2013||The papers firstly introduce the standard framework of model metadata as well as its composition, content and meaning. It is held that model metadata should consist of an identifier, sphere of application, model parameters, principles, performances, run conditions, management information, references, and case information. Then we explained the virtual community for model metadata publishing, sharing and maintaining. Finally, we expatiated on the expression of model metadata standard based on XML schema Definition (XSD), the extended-metadata based on Tag and the publishing of model metadata based on Wiki. Based on Web 2.0 technology, the traditional model metadata which just create by modeler was extended to support extended-metadata created by model users or domain experts, which includes the feedback on model evaluation and suggestion. The user-metadata was refined from massive messy individual tags, which reflect the implicit knowledge of models.||0||0|
|News auto-tagging using Wikipedia||Eldin S.S.
|2013 9th International Conference on Innovations in Information Technology, IIT 2013||English||2013||This paper presents an efficient method for automatically annotating Arabic news stories with tags using Wikipedia. The idea of the system is to use Wikipedia article names, properties, and re-directs to build a pool of meaningful tags. Sophisticated and efficient matching methods are then used to detect text fragments in input news stories that correspond to entries in the constructed tag pool. Generated tags represent real life entities or concepts such as the names of popular places, known organizations, celebrities, etc. These tags can be used indirectly by a news site for indexing, clustering, classification, statistics generation or directly to give a news reader an overview of news story contents. Evaluation of the system has shown that the tags it generates are better than those generated by MSN Arabic news.||0||0|
|A method for cooperation support between discussion space and activity space in collaborative learning and its experimental evaluation||Tilwaldi D.
|Electronics and Communications in Japan||English||2012||This paper describes a prototype and the experimental evaluation of a chat system that offers cooperation support between a discussion space and an activity space in collaborative learning. In collaborative learning in the proposed system, the students are divided into groups, carry out discussions on a study topic through chats, and create online reports in a cooperative manner. The proposed cooperation support method aims at improving the level of cooperation among students and the effectiveness of learning by making group members aware of other members' learning circumstances through cooperation support in group member utterances and report creation. We use a Wiki as a tool for collaborative work in this research. Cooperation support displays the Wiki's update time and contents on the chat system with activity cooperation support, offering a space for distance collaborative learning and allowing each student to become aware of the other students' situations. In addition, the number of chat utterances is displayed, and other students' situation is easily grasped. © 2012 Wiley Periodicals, Inc. Electron Comm Jpn, 95(2): 25-38, 2012; Published online in Wiley Online Library (). DOI 10.1002/ecj.10366 Copyright||0||0|
|Building ontology for mashup services based on Wikipedia||Xiao K.
|Lecture Notes in Electrical Engineering||English||2011||Tagging as a useful way to organize online resources has attracted many attentions in the last few years. And many ontology building approaches are proposed using such tags. While tags usually associated with concepts in some databases, such as WordNet and online ontologies. However, these databases are stable, static and lack of consistence. In this paper, we build an ontology for a collection of mashup services using their affiliated tags by referring to the entries of Wikipedia. Core tags are filtered out and mapped to the corresponding Wikipedia entries (i.e., URIs). An experiment is given as an illustration. © 2011 Springer Science+Business Media B.V.||0||0|
|Extracting semantic relationships for web services based on Wikipedia||Xiao K.
|Proceedings - 2011 International Conference on Cloud and Service Computing, CSC 2011||English||2011||Service semantic annotation is advancing quickly in recent years. However, the task of yielding semantics knowledge becomes a bottleneck of semantic annotation. In this paper, we present a new method for extracting tags from WSDL files and mining semantic relationships between tags. It is foundation of building ontology, which can be used to annotate web service. Core tags of domain are extracted, and their semantic relationships are extracted from Wikipedia category graph.||0||0|
|Oh! Web 2.0, Virtual Reference Service 2.0, Tools & Techniques (I): A Basic Approach||Arya H.B.
|Journal of Library and Information Services in Distance Learning||English||2011||This study targets librarians and information professionals who use Web 2.0 tools and applications with a view to providing snapshots on how Web 2.0 technologies are used. It also aims to identify values and impact that such tools have exerted on libraries and their services, as well as to detect various issues associated with the implementation of Web 2.0 applications in libraries. Offering Web 2.0 tools and technologies to library patrons is also suggested.||0||0|
|Web 2.0 in the professional LIS literature: An exploratory analysis||Noa Aharony||Journal of Librarianship and Information Science||English||2011||This paper presents a statistical descriptive analysis and a thorough content analysis of descriptors and journal titles extracted from the Library and Information Science Abstracts (LISA) database, focusing on the subject of Web 2.0 and its main applications: blog, wiki, social network and tags.The primary research questions include: whether the phenomenon of Web 2.0 with its various applications is significantly expressed in the professional LIS literature; which kind of journals deal with Web 2.0 and its applications; and what are the emerging issues or trends expressed in the professional LIS literature. The findings reveal that the percentage of peer-reviewed articles concerning Web 2.0 is quite low, and a close link between Web 2.0 and library issues. This tendency may suggest the potential of Web 2.0 and its implications for libraries, as presented in the professional LIS literature.||0||0|
|An Efficient Method for Tagging a Query with Category Labels Using Wikipedia towards Enhancing Search Engine Results||Milad Alemzadeh
|Annotate Wikipedia with Flickr images: Concepts and case study||Jie Xiao
|Proceedings of the 2nd International Conference on Internet Multimedia Computing and Service, ICIMCS'10||English||2010||Wikipedia, as an open editable resource, provides reliable knowledge and taxonomy. Contrast to the rich literal information, Wikipedia is lack of visual illustrations, like images and animations. Can we visually annotate Wikipedia concept and provide representative images according to its taxonomy? The huge amount of online social media, such as the tagged images in Flickr, is a good visual resource. Nevertheless, the noisy nature of the tags hinders itself. Based on the observation that images are often collected by the groups with common interest or topic, we propose a framework to visually annotate Wikipedia via social community. The contribution of our work is two-fold: (i) we diversely enrich Wikipedia with images based on its taxonomy; (ii) we introduce community effort to overcome the noisy nature of tags in harvesting images. This work shows our concept and community data collection of the proposed system. Copyright 2010 ACM.||0||0|
|A cooperation support method between discussion space and activity space in collaborative learning and its experimental evaluation||Tilwaldi D.
|IEEJ Transactions on Electronics, Information and Systems||Japanese; English||2009||This paper describes a prototype and its experimental evaluation of the chat system that offers cooperation support between discussion space and activity space in collaborative learning. In collaborative learning in the proposed system.students are divided into groups, carry out discussion on a study theme by chats, and create on-line reports in cooperative manner. The proposed cooperation support method aims at improving the level of cooperation among students and the effectiveness of the study by making group members grasp other member's study situation mutually through cooperation support in group member's utterance and report creation. We use Wiki as a tool for collaborative work in this research. Cooperation support displays the Wiki's updating time and contents on the chat system with activity cooperation support that offers a space for remote collaborative learning and allows a student to know about other students 'condition. In addition, the number of chat utterances was displayed, and other students' condition is easily grasped.||0||0|
|Deep thought;web based system for managing and presentation of research and student projects||Gregar T.
|CSEDU 2009 - Proceedings of the 1st International Conference on Computer Supported Education||English||2009||There are plenty of projects solved each day at academic venues -small in-term students' projects without any real usability, bachelor and diploma thesis, large interdisciplinary or internationally supported projects. Each of them has its own set of requirements how to manage it. Aim of our paper is to describe these requirements, and to show how we tried to satisfy them. As a result of further analysis we designed and implemented system Deep Thought (under development since autumn 2007), which united the management of distinct categories of projects in one portal. System is based on open-source technology, it is modular and hence it is capable to integrate heterogeneous tools such as version control system, wiki, project presenting and managing. This paper also introduces aims of the future development of the system, such as interoperability with other management systems or better connection with the lecture content and teaching process.||0||0|
|Lightweight document semantics processing in e-learning||Gregar T.
|Proceedings of I-KNOW 2009 - 9th International Conference on Knowledge Management and Knowledge Technologies and Proceedings of I-SEMANTICS 2009 - 5th International Conference on Semantic Systems||English||2009||There are plenty of projects aimed at incorporating semantic information into present day document processing. The main problem is their real-world usability. E-learning is one of the areas which can take advantage of the semantically described documents. In this paper we would like to introduce a framework of cooperating tools which can help extract, store, visualize semantics in this area.||0||0|
|Collaborative classification of growing collections with evolving facets||Wu H.
|ACM Conference on Hypertext and Hypermedia||English||2007||There is a lack of tools for exploring large non-textual collections. One challenge is the manual effort required to add metadata to these collections. In this paper, we propose an architecture that enables users to collaboratively build a faceted classification for a large, growing collection. Besides a novel wiki-like classification interface, the proposed architecture includes automated document classification and facet schema enrichment techniques. We have implemented a prototype for the American Political History multimedia collection from usa.gov. Copyright 2007 ACM.||0||0|
|Library 2.0: An overview||Connor E.||Medical Reference Services Quarterly||English||2007||Web 2.0 technologies focus on peer production, posting, subscribing, and tagging content; building and inhabiting social networks; and combining existing and emerging applications in new and creative ways to impart meaning, improve search precision, and better represent data. The Web 2.0 extended to libraries has been called Library 2.0, which has ramifications for how librarians, including those who work in medical settings, will interact and relate to persons who were born digital, especially related to teaching and learning, and planning future library services and facilities.||0||0|
|Medical Librarian 2.0||Connor E.||Medical Reference Services Quarterly||English||2007||Web 2.0 refers to an emerging social environment that uses various tools to create, aggregate, and share dynamic content in ways that are more creative and interactive than transactions previously conducted on the Internet. The extension of this social environment to libraries, sometimes called Library 2.0, has profound implications for how librarians will work, collaborate, and deliver content. Medical librarians can connect with present and future generations of users by learning more about the social dynamics of Web 2.0's vast ecosystem, and incorporating some of its interactive tools and technologies (tagging, peer production, and syndication) into routine library practice. © 2007 by The Haworth Press, Inc. All rights reserved.||0||0|
|Semantic Wikipedia - Checking the Premises||Rainer Hammwohner||The Social Semantic Web 2007 - Proceedings of the 1st Conference on Social Semantic Web, 2007.||2007||Enhancing Wikipedia by means of semantic representations seems to be a promising issue. From a formal or technical point of view there are no major obstacles in the way. Nevertheless, a close look at Wikipedia, its structure and contents reveals that some questions have to be answered in advance. This paper will deal with these questions and present some first results based on empirical findings.||0||0|
|Library 2.0 theory: Web 2.0 and its implications for libraries||Maness J.M.||Webology||English||2006||This article posits a definition and theory for "Library 2.0". It suggests that recent thinking describing the changing Web as "Web 2.0" will have substantial implications for libraries, and recognizes that while these implications keep very close to the history and mission of libraries, they still necessitate a new paradigm for librarianship. The paper applies the theory and definition to the practice of librarianship, specifically addressing how Web 2.0 technologies such as synchronous messaging and streaming media, blogs, wikis, social networks, tagging, RSS feeds, and mashups might intimate changes in how libraries provide access to their collections and user support for that access. Copyright © 2006, Jack M. Maness.||0||1|