Hyeoncheol Kim

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Hyeoncheol Kim 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
Accessing information sources using ontologies Education
Ontology
Wikipedia
International Journal of Computers, Communications and Control English 2011 In this paper, we present a system that helps users access various types of information sources using ontologies. An ontology consists of a set of concepts and their relationships in a domain of interests. The system analyzes an ontology provided by a user so that the user can search and browse Wikipedia [1], DBpedia [4], PubMed [5], and the Web by utilizing the information in the ontology. In particular, terms defined in the ontology are mapped to Wikipedia pages and the navigation history of a user is saved so that it can serve as a personalized ontology. In addition, users can create and edit ontologies using the proposed system. We show that the proposed system can be used in an educational environment. 0 0
FolksoViz: A semantic relation-based folksonomy visualization using the Wikipedia corpus Collaborative tagging
Folksonomy
Semantic Relation
Visualisation
Web 2.0
Wikipedia
10th ACIS Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2009, In conjunction with IWEA 2009 and WEACR 2009 English 2009 Tagging is one of the most popular services in Web 2.0 and folksonomy is a representation of collaborative tagging. Tag cloud has been the one and only visualization of the folksonomy. The tag cloud, however, provides no information about the relations between tags. In this paper, targeting del.icio.us tag data, we propose a technique, FolksoViz, for automatically deriving semantic relations between tags and for visualizing the tags and their relations. In order to find the equivalence, subsumption, and similarity relations, we apply various rules and models based on the Wikipedia corpus. The derived relations are visualized effectively. The experiment shows that the FolksoViz manages to find the correct semantic relations with high accuracy. 0 0
Personal knowledge management for knowledge workers using social semantic technologies Folksonomy
Personal knowledge management
PKM
Semantic web
Semantic wiki
Social tagging
International Journal of Intelligent Information and Database Systems English 2009 Knowledge workers have different applications and resources in heterogeneous environments for doing their knowledge tasks and they often need to solve a problem through combining several resources. Typical personal knowledge management (PKM) systems do not provide effective ways for representing knowledge worker's unstructured knowledge or idea. In order to provide better knowledge activity for them, we implement Wiki-based social Network Thin client (WANT) that is a wiki-based semantic tagging system for collaborative and communicative knowledge creation and maintenance for a knowledge worker. And also, we suggest the social semantic cloud of tags (SCOT) ontology to represent tag data at a semantic level and combine this ontology in WANT. WANT supports a wide scope of social activities through online mash-up services and interlink resources with desktop and web environments. Our approach provides basic functionalities such as creating, organising and searching knowledge at individual level, as well as enhances social connections among knowledge workers based on their activities. Copyright 0 0
Tag sense disambiguation for clarifying the vocabulary of social tags Folksonomy
Social tagging
Vocabulary
Wikipedia
Word sense disambiguation
Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009 English 2009 Tagging is one of the most popular services in Web 2.0. As a special form of tagging, social tagging is done collaboratively by many users, which forms a so-called folksonomy. As tagging has become widespread on the Web, the tag vocabulary is now very informal, uncontrolled, and personalized. For this reason, many tags are unfamiliar and ambiguous to users so that they fail to understand the meaning of each tag. In this paper, we propose a tag sense disambiguating method, called Tag Sense Disambiguation (TSD), which works in the social tagging environment. TSD can be applied to the vocabulary of social tags, thereby enabling users to understand the meaning of each tag through Wikipedia. To find the correct mappings from del.icio.us tags to Wikipedia articles, we define the Local )eighbor tags, the Global )eighbor tags, and finally the )eighbor tags that would be the useful keywords for disambiguating the sense of each tag based on the tag co-occurrences. The automatically built mappings are reasonable in most cases. The experiment shows that TSD can find the correct mappings with high accuracy. 0 0
Analyzing the effectiveness of collaborative condition monitoring using adaptive measure Collaborative learning
Knowledge management
Visualisation
Wiki community
WSEAS Transactions on Information Science and Applications English 2006 New opened community systems such as wiki support the entire freedom of expression for all users. Wiki is a powerful hypertext-based collaborative system and a conversational knowledge management system. The method of group knowledge construction in wiki depends on the social interaction. However, some factors interrupt the social interaction needed for collaboration in wiki. At first the linked-structure is hidden and continuously changeable. Furthermore, the linked structure has become more and more complex. The linked structure's complexity interrupts collaborative condition monitoring and group collaboration. We develop and test new adaptive measures proposed in this paper to decide whether or not they satisfy a group's collaborative condition. The visualization of these scores will support a basis to examine the collaborative condition and to decide the starting point of next activity in process-oriented learning. The result of experiment shows that changes in score values go with Collaboration Status. And we analyze the effectiveness of collaborative condition monitoring in the viewpoint of pedagogy. 0 0
Eyes of a Wiki: Automated navigation map Lecture Notes in Computer Science English 2005 There are many potential uses of a Wiki within a community-based digital library. Users share individual ideas to build up community knowledge by efficient and effective collaborative authoring and communications that a Wiki provides. In our study, we investigated how the community knowledge is organized into a knowledge structure that users can access and modify efficiently. Since a Wiki provides users with freedom of editing any pages, a Wiki site increases and changes dynamically, We also developed a tool that helps users to navigate easily in the dynamically changing link structure. In our experiment, it is shown that the navigation tool fosters Wiki users to figure out the complex site structure more easily and thus to build up more well-structured community knowledge base. We also show that a Wiki with the navigation tool improves collaborative learning in a web-based e-learning environment. 0 0