Computer-based library or computer-based learning?

Traditionally, libraries have played the role of repository of published information resources and, more recently, gateway to online subscription databases. The library online catalog and digital library interface serve an intermediary function to help users locate information resources available through the library. With competition from Web search engines and Web portals of various kinds available for free, the library has to step up to play a more active role as guide and coach to help users make use of information resources for learning or to accomplish particular tasks. It is no longer sufficient for computer-based library systems to provide just search and access functions. They must provide the functionality and environment to support learning and become computer-based learning systems. This paper examines the kind of learning support that can be incorporated in library online catalogs and digital libraries, including 1) enhanced support for information browsing and synthesis through linking by shared meta-data, references and concepts; 2) visualization of related information; 3) adoption of Library 2.0 and social technologies; 4) adoption of Library 3.0 technologies including intelligent processing and text mining

MULTIMEDIA INTERFACE AS A SUPPORT TOOL FOR LOGISTICS DECISION-MAKING

Growing complexity of problems of logistics management in enterprises anddifferentiation of the used applications without common database force businesses tosearch for solutions which facilitate the processes of logistics decision-making. One ofthe concepts proposed in this chapter is a design of decision-maker/logistics interface.Firstly, technologies of corporate portals were described, being a basis for ergonomicand useful interface. Next the properties typical of functional multimedia interfaceadapted to the logistics decision-makers’ needs were listed. Further in the chapter,methodological assumptions for interface creation were made whereas the benefitsbrought by personalization of both form (in terms of topography, colours andarrangement of main components of the interface) and content were emphasized.corporate portal, dynamic internet applications, graphical user interface model;

Observing Users - Designing clarity a case study on the user-centred design of a cross-language information retrieval system

This paper presents a case study of the development of an interface to a novel and complex form of document retrieval: searching for texts written in foreign languages based on native language queries. Although the underlying technology for achieving such a search is relatively well understood, the appropriate interface design is not. A study involving users (with such searching needs) from the start of the design process is described covering initial examination of user needs and tasks; preliminary design and testing of interface components; building, testing, and further refining an interface; before finally conducting usability tests of the system. Lessons are learned at every stage of the process leading to a much more informed view of how such an interface should be built

Evaluating the Use of a Visual Approach to Business Stakeholder Analysis

As businesses increasingly use the Web to share information with stakeholders, the problems arising from information overload and interconnected nature of the Web make it difficult to obtain business intelligence (BI). This research proposes a visual approach to business stakeholder analysis that integrates information visualization and Web mining techniques with human domain knowledge. A proof-of-concept prototype was developed based on the approach to assist in analyzing and visualizing complicated stakeholder networks on the Web. We report results of an empirical evaluation comparing the prototype with a traditional method of BI analysis and discuss the implications on HCI research and BI systems development

Searching for Non-English Web Content: An Empirical Study of the Spanish Business Intelligence Portal

As non-English-speaking online populations grow rapidly, there are increasing needs to support searching for non-English Web content. Prior research has assumed English to be the primary language for Web searching, but this is not the case for many non-English-speaking regions. For example, Latin America will have the fastest growing population in the coming decades but existing Spanish search engines lack search, browse, and analysis capabilities. In this paper, we have proposed a language-independent approach to supporting non-English Web searching. Based on the approach, we have developed the Spanish Business Intelligence Portal (SBizPort) to support searching, browsing, summarization, categorization, and visualization of Web information. Results from an empirical study involving Spanish subjects show that the portal achieved significantly better user ratings on information quality, cross-regional search capability, and overall satisfaction than the benchmark search portal. This study thus contributes to human-computer interaction research on non-English Web searching

Mapping Big Data into Knowledge Space with Cognitive Cyber-Infrastructure

Big data research has attracted great attention in science, technology, industry and society. It is developing with the evolving scientific paradigm, the fourth industrial revolution, and the transformational innovation of technologies. However, its nature and fundamental challenge have not been recognized, and its own methodology has not been formed. This paper explores and answers the following questions: What is big data? What are the basic methods for representing, managing and analyzing big data? What is the relationship between big data and knowledge? Can we find a mapping from big data into knowledge space? What kind of infrastructure is required to support not only big data management and analysis but also knowledge discovery, sharing and management? What is the relationship between big data and science paradigm? What is the nature and fundamental challenge of big data computing? A multi-dimensional perspective is presented toward a methodology of big data computing.Comment: 59 page

A Semantic-Based Information Management System to Support Innovative Product Design

International competition and the rapidly global economy, unified by improved communication and transportation, offer to the consumers an enormous choice of goods and services. The result is that companies now require quality, value, time to market and innovation to be successful in order to win the increasing competition. In the engineering sector this is traduced in need of optimization of the design process and in maximization of re-use of data and knowledge already existing in the company. The “SIMI-Pro” (Semantic Information Management system for Innovative Product design) system addresses specific deficiencies in the conceptual phase of product design when knowledge management, if applied, is often sectorial. Its main contribution is in allowing easy, fast and centralized collection of data from multiple sources and in supporting the retrieval and re-use of a wide range of data that will help stylists and engineers shortening the production cycle. SIMI-Pro will be one of the first prototypes to base its information management and its knowledge sharing system on process ontology and it will demonstrate how the use of centralized network systems, coupled with Semantic Web technologies, can improve inter-working activities and interdisciplinary knowledge sharing

Enhancing Business Intelligence Quality with Visualization: An Experiment on Stakeholder Network Analysis

Business intelligence (BI) has gained a strategic importance in today’s global competitive environment. However, high-quality BI is not easy to obtain on the Web due to information overload and difficulty to present complicated relationships among various types of business stakeholders. Unfortunately, existing BI tools lack the capability of analyzing and visualizing such relationships and research on BI systems is sparse. In this paper, we review the current market of BI tools and related research, describe an approach to support the development of tools that provide high-quality BI, and report the findings of a user evaluation study of the prototype developed based on the proposed approach. The approach combines information visualization and Web mining techniques with human knowledge to enable business analysts to analyze and visualize complicated business stakeholder relationships. Results of an experiment involving 62 subjects show that the prototype significantly outperformed a traditional method of BI analysis in terms of efficiency, quality of BI, and user satisfaction. The subjects provided favorable comments and expressed strong preferences toward the prototype in most applications. This research contributes to advancing BI research and to providing new empirical findings for BI systems evaluation. Available at: https://aisel.aisnet.org/pajais/vol1/iss1/9

Conversational Exploratory Search via Interactive Storytelling

Conversational interfaces are likely to become more efficient, intuitive and engaging way for human-computer interaction than today's text or touch-based interfaces. Current research efforts concerning conversational interfaces focus primarily on question answering functionality, thereby neglecting support for search activities beyond targeted information lookup. Users engage in exploratory search when they are unfamiliar with the domain of their goal, unsure about the ways to achieve their goals, or unsure about their goals in the first place. Exploratory search is often supported by approaches from information visualization. However, such approaches cannot be directly translated to the setting of conversational search. In this paper we investigate the affordances of interactive storytelling as a tool to enable exploratory search within the framework of a conversational interface. Interactive storytelling provides a way to navigate a document collection in the pace and order a user prefers. In our vision, interactive storytelling is to be coupled with a dialogue-based system that provides verbal explanations and responsive design. We discuss challenges and sketch the research agenda required to put this vision into life.Comment: Accepted at ICTIR'17 Workshop on Search-Oriented Conversational AI (SCAI 2017