Jian-hua Yeh

Ontology Construction Based on Latent Topic Extraction in a Digital Library

This paper discusses the automatic ontology construction process in a digital library. Traditional automatic ontology construction uses hierarchical clustering to group similar terms, and the result hierarchy is usually not satisfactory for humans recognition. Human-provided knowledge network presents strong semantic features, but this generation process is both labor-intensive and inconsistent under large scale scenario. The method proposed in this paper combines the statistical correction and latent topic extraction of textual data in a digital library, which produces a semantic-oriented and OWL-based ontology. The experimental document collection used here is the Chinese Recorder, which served as a link between the various missions that were part of the rise and heyday of the Western effort to Christianize the Far East. The ontology construction process is described and a final ontology in OWL format is shown in our result.

Government ontology and thesaurus construction: a taiwanese experience

Due to the quantity and the diversity involved in e-government presentations and operations, traditional approaches to web site information management have been found to be rather inefficient in time and cost. Consequently, the necessity of establishing a government knowledge management system, so as to speed up information lookups, sharing, and linkups, naturally arises. Moreover, this knowledge management system would in turn enhance e-government effectiveness as it helps to store and transmit information, be it explicit or implicit in nature. The first step in creating this knowledge management system is to build up the government ontology and thesaurus. Upon the completion of the ontology and thesaurus needed, semantic searching can be conducted, which in turn kickstarts other mechanisms required for effective information management. Our research team has been commissioned by the Executive Yuan of Taiwan to establish the draft of government ontology and thesaurus and to design a framework for multiple-layered information management systems upon which the ontology and thesaurus can be constructed. The goal of this paper is to present the government ontology and thesaurus which our research team has come up with as well as the related infrastructure and function of the multiple-layered information management system.

Automatic Ontology Generation Using Schema Information

This paper discusses the automatic ontology generation process in a digital library. Traditional automatic ontology generation uses hierarchical clustering to group similar terms, and the result hierarchy is usually not satisfactory for humans recognition. Human-provided knowledge network presents strong semantic features, but this generation process is both labor-intensive and inconsistent under large scale scenario. The method proposed in this paper combines the results of specific knowledge network and automatic ontology generation from metadata in a digital library, which produces a human-readable, semantic-oriented hierarchy. This generation process can efficiently reduce manual classification efforts, which is an exhausting task for human beings. An evaluation method is also proposed in this paper to verify the quality of the result hierarchy

Content and knowledge management in a digital library and museum

This article discusses the design of a digital library that addresses both content and knowledge management. The design of the digital library features two major distinctions: (1) the system incorporates a two-tier repository system to facilitate content management, and (2) the system incorporates an object-oriented model to facilitate the management of temporal information and exploits information extraction and deductive inference to derive implied knowledge based on the content of the digital library. The two-tier repository system relieves the system manager from manually maintaining the hyperlinks among the Web pages, when the digital library content is updated. The task of maintaining hyperlinks among Web pages can become cumbersome to the system manager if there are a large number of Web pages and hyperlinks. With respect to knowledge management, this design aims at facilitating temporal information management and deriving implied relations among the objects in the digital library. The motivation behind developing these knowledge processing utilities is to create a system that complements the capabilities of human beings. Deriving a comprehensive list of implied relations is an exhausting task if the digital library contains a great amount of information and the number of implied relations is great. With such knowledge-processing utilities, specialists are released from performing tedious work and can, therefore, spend more time with more productive philosophical activities to derive advanced knowledge. Applying knowledge management utilities effectively can extend the applications of digital libraries to new dimensions.

Towards automatic concept hierarchy generation for specific knowledge network

This paper discusses the automatic concept hierarchy generation process for specific knowledge network. Traditional concept hierarchy generation uses hierarchical clustering to group similar terms, and the result hierarchy is usually not satisfactory for human being recognition. Human-provided knowledge network presents strong semantic features, but this generation process is both labor-intensive and inconsistent under large scale hierarchy. The method proposed in this paper combines the results of specific knowledge network and automatic concept hierarchy generation, which produces a human-readable, semantic-oriented hierarchy. This generation process can efficiently reduce manual classification efforts, which is an exhausting task for human beings. An evaluation method is also proposed in this paper to verify the quality of the result hierarchy.

Library Book Recommendations Based on Latent Topic Aggregation

During recent years, how to provide personalized services has become an important research issue in library services. The libraries provide more and more personalized services such as customized web interface and reading suggestions. In the traditional approaches, the features of the books that a reader likes are used to construct the profile of the reader to support recommendation of books such as query keywords. But with the fact of the huge holdings in the libraries, the librarians need to effectively help the readers to find the books of interest. Collaborative filtering (CF) is a way to make it possible by use patron’s circulation logs which contain their borrow history as favorite readings. In this paper, we first use Latent Dirichlet Allocation to find the latent topics existing in the circulation logs, then we combine patron reading histories with the generated latent topics to produce a suggestion list for the patron. With the elaborated experiments demonstrated in this paper, it showed good results from the volunteers’ feedback.

A research project to convert chinese traditional calligraphic paintings to SCORM-Compatible e-learning materials

The research project presented in this paper aims to meet the need for courses in Chinese traditional calligraphic art through the use of digitalized paintings. Thus, this paper delineates vital aspects associated in converting such materials to e-formats and the platform on which digital archives and digital learning may become possible. Moreover, the construction of a platform for integrating digital content with e-learning creates a frontier, opening up new resources in Chinese traditional calligraphic painting instruction.

Knowledge Management in a Chinese Genealogy Information System

The Chinese genealogies are the best resources for the family histories. They contain excellent information for peoples root tracing and for academic researches. Our Taiwan Genealogy Online Project aims to digitalize genealogy material and to provide online services. This paper explains the design theory and implementation ideas of our system for Chinese genealogy.

X-System: An Extensible Digital Library System for Flexible and Multi-Purpose Contents Management

In this paper, the authors describe X-System, a general digital library platform which is capable of handling large-scale digital contents with flexible, extensible management features. The development of X-System achieves several important goals of modern digital library systems, including fully functional system, neutral and portable architecture, stackable modules, data exchange, and universal access. Several open source digital library systems are selected as a comparison of platform features. The model and architecture of X-System are also discussed in this paper. Moreover, several extension case studies of X-System are demonstrated to show the extensibility of their system. In addition to act as a basic digital archive/library system, the X-System has been adopted as various different usages, including E-learning platform, knowledge management platform, library circulation system, and embedded metadata framework.