Ching-Long Yeh

Collaborative E-Learning Using Semantic Course Blog

Collaborative e-learning delivers many enhancements to e-learning technology; it enables students to collaborate with each other and improves their learning efficiency. Semantic blog combines semantic Web and blog technology that users can import, export, view, navigate, and query the blog. We developed a semantic course blog for collaborative e-learning. Using our semantic course blog, instructors can import the lecture course. Students can team up for projects, ask questions, mutually discuss problems, take the comments, support answers, and query the blog information. This semantic course blog provided a platform for collaborative e-learning framework. In this chapter, we described some collaborative e-learning and semantic blog technology, and then we introduced functions, implementation and how collaborative e-learning appears in semantic course blog.

Zero anaphora resolution in Chinese with partial parsing based on centering theory

Most traditional approaches to anaphora resolution are based on the integration of complex syntactic information and domain knowledge. However, to construct a domain knowledge base is very labor-intensive and time-consuming. We work on the output of a part-of-speech tagger and use a partial parsing instead of a complex parsing to resolve zero anaphors in Chinese text. We employ centering theory and constraint rules to identify the antecedents of zero anaphors appeared in the preceding utterances. We focus on the cases of zero anaphors that occur in the topic or subject, and object positions of utterances. The result shows that the precision rates of zero anaphora detection and the recall rate of zero anaphora resolution with the method are 81% and 70% respectively.

A Logic Programming Approach to Supporting the Entries of XML Documents in an Object Database

In this paper we employ the parsing and generation capabilities of DCG in Prolog to convert XML documents into object definitions to be stored in an object database. The system mainly consists of a DTD parser, a schema generator and a DI parser generator. The DTD parser is used to analyze the structure of DTD. The two generators take the parsing results of the DTD parser, and then produce database schema definitions and the DI parser. The database schema for a DTD is built by executing the generated schema definitions. The DI parser analyzes the document instance and produces the corresponding object definitions. The elements in the document are then stored in the object database by executing the object definition.

An empirical study on the generation of zero anaphors in Chinese

In this paper, we describe the creation of rules for generating Chinese zero anaphors through a sequence of experiments in a stepwise enhanced manner. In the experiments, we basically examined the occurence of zero anaphors in a real text and the ones generated by the algorithms employing the rules, assuming the same semantic and discourse structures as the text. The factors of locality, syntactic constraints, discourse structure and salience of objects were considered in the rules. The results of the experiment show that 93% of the zero anaphors in the text can be correctly generated by an algorithm using a rule involving all the above factors.

Design and Implementation of Declarative Agent-Based Front-End System for ebXML

ebXML is widely accepted as the common platform, described in formal specification using XML, for connecting heterogeneous business systems. The connection is made by implementing an ebXML system in front of the back-end system. The ebXML system is divided into the upper business process level, account for business interactions, and the lower message service level for necessary technological support for the upper level. In this paper, we employ agent technology to implement the ebXML system. We design and implement business service agent and message service agents for the upper and lower levels, respectively. In particular we use a declarative approach to design the business service agent, which separate the business collaboration knowledge from the control engine. This results in automatic transformation from design artifacts into executable code. We implement a prototype system using open agent architecture. We carry out experiments by connecting two systems at different sites, based on the system. User in terfaces are provided to control and monitor the process of collaborations. The system shows promising result in gaining insight on ebXML collaborations. It provides an excellent basis for further investigation on industry business collaborations.

Creation of topic map by identifying topic chain in chinese

XML Topic maps enable multiple concurrent views of sets of information objects and can be used to different applications. For example thesaurus-like interfaces to corpora navigational tools for cross-references or citation systems information filtering or delivering depending on user profiles etc. However to enrich the information of a topic map or to connect with some documents URI is very labor-intensive and time-consuming. To solve this problem we propose an approach based on natural language processing techniques to identify and extract useful information in raw Chinese text. Unlike most traditional approaches to parsing sentences based on the integration of complex linguistic information and domain knowledge we work on the output of a part-of-speech tagger and use shallow parsing instead of complex parsing to identify the topics of sentences. The key elements of the centering model of local discourse coherence are employed to extract structures of discourse segments. We use the local discourse structure to solve the problem of zero anaphora in Chinese and then identify the topic which is the most salient element in a sentence. After we obtain all the topics of a document we may assign this document into a topic node of the topic map and add the information of the document into the topic element simultaneously.

Ontology-Based Personal Annotation Management on Semantic Peer Network to Facilitating Collaborations in e-Learning

The trend of services on the web is making use of resources on the web collaborative. Semantic Web technology is used to build an integrated infrastructure for the new services. This paper develops a distributed knowledge based system using the RDF/OWL technology on peer-to-peer networks to provide the basis of building personal social collaboration services for e-Learning. This paper extends the current tools accompanied with lecture content to become annotation sharable using the distributed knowledge base.

Ontology-Based personal annotation management on semantic peer network to facilitating collaborations

The trend of services on the web is making the use of resources on the web collaborative The Semantic Web technology is used to build an integrated infrastructure for the new services In this paper, we develop a distributed knowledge based system using the RDF/OWL technology on peer-to-peer network to provide the basis of building personal social collaboration services for e-Learning We extend the current tools accompanied with lecture content to become annotation sharable using the distributed knowledge base.

Creation of topic map with shallow parsing in Chinese

XML topic maps enable multiple, concurrent views of sets of information objects and can be used to different applications. However, to enrich the information or metadata of a topic map or to connect with some documents URI is very labor-intensive and time-consuming. To solve this problem, we propose an approach based on natural language processing techniques to identify and extract useful information in raw Chinese text. Unlike most approaches to parsing sentences based on the integration of complex linguistic information and domain knowledge, we use shallow parsing instead of complex parsing to analyze the constituents and their relationship in discourse. After a document is processed, we may assign this document into a topic node and add the information extracted from the raw text into a topic map.