Contexts of Relevance for Information Retrieval System Design

ABSTRACT Introduction One of the efforts to provide the best service for users is by developing innovative library services. One of them is by developing a video content-based library collection. MMTC Yogyakarta Multi Media College Library has developed a video content-based information retrieval system. It is hoped that by utilizing this video content-based STKI, users will be helped and get accelerated information in finding the material needed, especially searching for material in video files. Data Collection Method. In this paper the writer uses qualitative research with a library research approach, while the data analysis uses content analysis techniques. This method the authors use to observe and analyze an information system. Results and Discussions. In developing a Content Based Video Retrieval strategy in the MMTC Yogyakarta Multi Media High School Library, it begins with identifying user needs, creating a system design, evaluating the system design, pouring the system design into a programming language, testing the system, evaluating the system and using it. Then, the authors also provide an overview of the development of the STKI by conducting a SWOT analysis. Based on the macro analysis, the opportunity and threat variables will be formulated, while the internal analysis will formulate the strength and weakness variables. The last stage is the STKI analysis, while the stages are: complete definition, problem analysis, needs analysis, logic design and needs analysis. Conclusions. In the Content Based Video Retrieval development strategy at the MMTC Yogyakarta Multi Media College Library, there are several things that need to be considered in the development of an information retrieval system, including: User needs, development budget (budget), human resources, support from leaders and facilities (software and hardware) and IT infrastructure (internet network). The development of the STKI should begin with identifying user needs and conducting a SWOT analysis to determine the strengths and weaknesses of the system, as well as the goal so that the system can be optimally empowered by users. Keywords: Library, Information Retrieval System, Video Content

Download Full-text

A taxonomy of representations in information retrieval system design

Journal of Information Science ◽

10.1177/016555158400800303 ◽

1984 ◽

Vol 8 (3) ◽

pp. 113-121 ◽

Cited By ~ 6

Author(s):

Linda C. Smith ◽

Amy J. Warner

Keyword(s):

Information Retrieval ◽

System Design ◽

Empirical Data ◽

Retrieval System ◽

Practical Experience ◽

Information Retrieval System ◽

Growing Body ◽

Category Comparison ◽

Three Stages ◽

The Impact

In IR there is a growing body of empirical data and practical experience with various representations. Taxonomy may be defined as 'all the various activities involved in the construction of classificatory systems.' There are three stages in our research: identification, char acterization, and comparison/evaluation. Identification in volves an enumeration both of the categories of representations which could in principle be part of an IR system and of the different members in each category. Characterization involves identification of properties which could be used to characterize the members of each category. Comparison/evaluation in volves identification of measures which could be used in com paring the members within each category and/or in evaluating the impact of variations in representations on system perfor mance.

Download Full-text