This paper presents a tool for semantic personal knowledge management called Hypertext Knowledge Workbench (HKW), an editor and browser for semantic personal knowledge models. The tool is designed to be used by a single person to manage her personal notes about any topic that seems relevant

, person, employee, product) and relations (e.g., employed_by, produced_by) of interest when creating the knowledge base. The second is a set of training data consisting of labeled regions of hypertext that represent instances of these classes and relations. Given these inputs, the system learns to extract

or hypertext and electronic information systems to be effective, designers must understand how users find specific facts, locate fragments of text that satisfy information queries, or just browse. Users ’ information retrieval depends on the cognitive representation (mental model) of a system’s

Hypertext systems have traditionally focused on information management and presentation. In contrast, the Aquanet hypertext system described in this paper is designed to support knowledge structuring tasks. Aquanet is a browser-based tool that allows users to graphically represent information

captured by the profiler is then utilized by a knowledge discovery technique to cluster users with similar interests. We introduce a novel path clustering method based on the similarity of the history of user navigation. This approach is capable of capturing the interests of the user which could persist

emerged and therefore the ability of recipients to make sense of the resulting message. This paper proposes to merge different design concepts to transform software into a platform termed the knowledge workbench which would aid in simultaneously generating and communicating insights. By defining principal

Although the use of hypertext systems for learning complex knowledge has been attracting recent attention, there have been few discussions in the hypertext literature on issues related to the cognitive prerequisites for learning conceptually demanding material. A study was conducted to investigate

mechanisms discourages the development and use of such a model since it is difficult to reinforce hypertext structure and to really incorporate knowledge. A lot of works provide intelligent mechanisms to help navigation but either they use external knowledge or automatically synthesize links from information

This paper investigates one particular contribution of hypertext to knowledge construction: the transition from declarative knowledge to structural knowledge. The proposed model hypothesizes that the navigational structure of hypertext provides a framework to the learner for integrating new

volumes, and have strategies, processes, and systems for managing them. Hypertext technology is a good way to structure and access explicit knowledge. The "Dreher Hypertext Development Methodology" is proffered to guide the development of suitably structured and accessible knowledge repositories