Study on Implementing Topic Maps-Based Web Search Services in Junior High School Library of Wugu

Web services have become well known in the school library, yet adoption of them with in the school setting still little have been down, especial in junior high school library. In this paper, we develop a Grade 1-9 Curriculum Web resources search services by using Web services, Grade 1-9 Curriculum, Topic Maps, XTM and relational database management system (RDBMS). The Grade 1-9 Curriculum was transferred into a Topic Maps to representation domain-specific knowledge model and to connect to related resources. This domain-specific knowledge of a topic is exploited by the Web search services to suggest appropriate search queries and retrieval adequate information from the internet. Finally, these functions are integrated into the WUGU junior high school library system and provide an efficient way for users to access heterogeneous information.

A REVIEW ON SEMANTIC WEB

Semantic web is a concept that enables better machine processing of information on the web, by structuring documents written for the web in such a way that they become understandable by machines. This can be used for creating more complex applications (intelligent browsers, more advanced web agents), etc. Semantic modeling languages like the Resource Description Framework (RDF) and topic maps employ XML syntax to achieve this objective. New tools exploit cross domain vocabularies to automatically extract and relate the meta information in a new context. Web Ontology languages like DAML+OIL extend RDF with richer modeling primitives and a provide a technological basis to enable the Semantic Web. The logic languages for Semantic Web are described (which build on the of RDF and ontology languages). They, together with digital signatures, enable a web of trust, which will have levels of trust for its resources and for the rights of access, and will enable generating proofs, for the actions and resources on the web.

A Pedagogical Corpus to Support a Language Teaching Curriculum to Revitalize an Endangered Language

An obstacle to revitalizing an endangered language is the shortage of authentic speech samples for learners to use as models. Digital recordings of community elders performing traditional chores and special rituals or narrating legends and myths are often made to overcome this obstacle. These recordings, however, contain speech that lacks the crucial features of conversational speech that make them appropriate instructional models. Effective model utterances should be short, have a stand-alone format, and have similar structures to utterances used in everyday transactions, which must be labeled and tagged and organized into a searchable corpus. To date, however, no such corpus exists for indigenous languages, and compiling one is an enormous task. To provide native speech models for adult Labrador Inuit learning their endangered language, Inuttitut, the authors explored the feasibility of building a specialized corpus potentially useful for aiding classroom instruction, using an internationally recognized open-source search and retrieval system called Topic Maps to create its database.

Methods and Practices for Institutional Benchmarking based on Research Impact and Competitiveness: A Case Study of ShanghaiTech University

Purpose To develop and test a mission-oriented and multi-dimensional benchmarking method for a small scale university aiming for internationally first-class basic research. Design/methodology/approach An individualized evidence-based assessment scheme was employed to benchmark ShanghaiTech University against selected top research institutions, focusing on research impact and competitiveness at the institutional and disciplinary levels. Topic maps opposing ShanghaiTech and corresponding top institutions were produced for the main research disciplines of ShanghaiTech. This provides opportunities for further exploration of strengths and weakness. Findings This study establishes a preliminary framework for assessing the mission of the university. It further provides assessment principles, assessment questions, and indicators. Analytical methods and data sources were tested and proved to be applicable and efficient. Research limitations To better fit the selective research focuses of this university, its schema of research disciplines needs to be re-organized and benchmarking targets should include disciplinary top institutions and not necessarily those universities leading overall rankings. Current reliance on research articles and certain databases may neglect important research output types. Practical implications This study provides a working framework and practical methods for mission-oriented, individual, and multi-dimensional benchmarking that ShanghaiTech decided to use for periodical assessments. It also offers a working reference for other institutions to adapt. Further needs are identified so that ShanghaiTech can tackle them for future benchmarking. Originality/value This is an effort to develop a mission-oriented, individually designed, systematically structured, and multi-dimensional assessment methodology which differs from often used composite indices.

From Index to Network: Topic Maps in the Enhanced Networked Monographs Project

The Enhanced Networked Monographs (ENM) project was an experimental publishing project funded by The Andrew W. Mellon Foundation and carried out from 2015-2018. Over the course of the project, we developed methods to extract topics from indexes, built tools to curate the result of the integration, and created a platform for reading. This article will discuss the creation of the ENM topic map, a meta-index created by combining many individual back-of-book indexes using the Topic Curation Toolkit.