Web-course search engine : a thesis presented in partial fulfilment of the requirements for the degree of Master of Science in Computer Science at Massey University

The World Wide Web is an amazing place that people's lives more and more rely on. Especially, for the young generation, they spend a significant amount of their play and study time using the Internet. Many tools have been developed to help the educational users in finding educational resources. These tools include various search engines. Web directories and educational domain gateways. Nevertheless, these systems have many weaknesses that made them unsuitable for the specific search needs of the learners. The research presented in this thesis describes the development of the Web-course search engine, which is a friendly, efficient and accurate helper for the learners to get what they want in the vast Internet ocean. The most attractive feature of this system is that the system uses one universal language, which lets the searchers and the resources "communicate" with each other. Then the learner searchers can find the Web-based educational resources that are most fit to their needs and course providers can provide all necessary information about their courseware. This universal language is one widely acceptable Metadata standard. Following the Metadata standard, the system collects exact information about educational resources, provides adequate search parameters for search and returns evaluative results. By using the Web-course search engine, the learners and the other educational users are able to find useful, valuable and related educational resources more effectively and efficiently. Some improvement suggestions of the search mechanism in the World Wide Web have been brought forward for the future research as a result of this project

Multimedia Chinese Web Search Engines: A Survey

The objective of this paper is to explore the state of multimedia search functionality on major general and dedicated Web search engines in Chinese language. The authors studied: a) how many Chinese Web search engines presently make use of multimedia searching, and b) the type of multimedia search functionality available. Specifically, the following were examined: a) multimedia features - features allowing multimedia search; and b) extent of personalization - the extent to which a search engine Web site allows users to control multimedia search. Overall, Chinese Web search engines offer limited multimedia searching functionality. The significance of the study is based on two factors: a) little research has been conducted on Chinese Web search engines, and b) the instrument used in the study and the results obtained by this research could help users, Web designers, and Web search engine developers. By large, general Web search engines support more multimedia features than specialized one

The Analysis of Rank Fusion Techniques to Improve Query Relevance

Rank fusion meta-search engine algorithms can be used to merge web search results of multiple search engines. In this paper we introduce two variants of the Weighted Borda-Fuse algorithm. The first variant retrieves documents based on popularities of component engines. The second one is based on k user-defined toplist of component engines. In this research, experiments were performed on k={50,100,200} toplist with AND/OR combinations implemented on ‘UNIB Meta Fusion’ meta-search engine prototype which employed 3 out of 5 popular search engines. Both of our two algorithms outperformed other rank fusion algorithms (relevance score is upto 0.76 compare to Google that is 0.27, at P@10). The pseudo-relevance automatic judgement techniques involved are Reciprocal Rank, Borda Count, and Condorcet. The optimal setting was reached for queries with operator "AND" (degree 1) or "AND ... AND" (degree 2) with k=200. The ‘UNIB Meta Fusion’ meta-search engine system was built correctly

Internet search and navigation strategies used by experts and beginners

This paper presents three pilot studies whose purpose was to analyse the way different users (experts and beginners) go about searching for specific information, both on the Internet in general and in a thematic web site in particular. It discusses the role of prior knowledge in achieving the search objectives, and highlights the differences in task completion due to the use of approaches of varying levels of strategic development

Internet Search and Navigation Strategies Used by Experts and Beginners

This paper presents three pilot studies whose purpose was to analyse the way different users (experts and beginners) go about searching for specific information, both on the Internet in general and in a thematic web site in particular. It discusses the role of prior knowledge in achieving the search objectives, and highlights the differences in task completion due to the use of approaches of varying levels of strategic development

Aggregated search: a new information retrieval paradigm

International audienceTraditional search engines return ranked lists of search results. It is up to the user to scroll this list, scan within different documents and assemble information that fulfill his/her information need. Aggregated search represents a new class of approaches where the information is not only retrieved but also assembled. This is the current evolution in Web search, where diverse content (images, videos, ...) and relational content (similar entities, features) are included in search results. In this survey, we propose a simple analysis framework for aggregated search and an overview of existing work. We start with related work in related domains such as federated search, natural language generation and question answering. Then we focus on more recent trends namely cross vertical aggregated search and relational aggregated search which are already present in current Web search

Internet Search and Navigation Strategies Used by Experts and Beginners

This paper presents three pilot studies whose purpose was to analyse the way different users (experts and beginners) go about searching for specific information, both on the Internet in general and in a thematic web site in particular. It discusses the role of prior knowledge in achieving the search objectives, and highlights the differences in task completion due to the use of approaches of varying levels of strategic development

Contexts and Contributions: Building the Distributed Library

This report updates and expands on A Survey of Digital Library Aggregation Services, originally commissioned by the DLF as an internal report in summer 2003, and released to the public later that year. It highlights major developments affecting the ecosystem of scholarly communications and digital libraries since the last survey and provides an analysis of OAI implementation demographics, based on a comparative review of repository registries and cross-archive search services. Secondly, it reviews the state-of-practice for a cohort of digital library aggregation services, grouping them in the context of the problem space to which they most closely adhere. Based in part on responses collected in fall 2005 from an online survey distributed to the original core services, the report investigates the purpose, function and challenges of next-generation aggregation services. On a case-by-case basis, the advances in each service are of interest in isolation from each other, but the report also attempts to situate these services in a larger context and to understand how they fit into a multi-dimensional and interdependent ecosystem supporting the worldwide community of scholars. Finally, the report summarizes the contributions of these services thus far and identifies obstacles requiring further attention to realize the goal of an open, distributed digital library system

From Keyword Search to Exploration: How Result Visualization Aids Discovery on the Web

A key to the Web's success is the power of search. The elegant way in which search results are returned is usually remarkably effective. However, for exploratory search in which users need to learn, discover, and understand novel or complex topics, there is substantial room for improvement. Human computer interaction researchers and web browser designers have developed novel strategies to improve Web search by enabling users to conveniently visualize, manipulate, and organize their Web search results. This monograph offers fresh ways to think about search-related cognitive processes and describes innovative design approaches to browsers and related tools. For instance, while key word search presents users with results for specific information (e.g., what is the capitol of Peru), other methods may let users see and explore the contexts of their requests for information (related or previous work, conflicting information), or the properties that associate groups of information assets (group legal decisions by lead attorney). We also consider the both traditional and novel ways in which these strategies have been evaluated. From our review of cognitive processes, browser design, and evaluations, we reflect on the future opportunities and new paradigms for exploring and interacting with Web search results