• Journal of the Korean Society for information Management
• /
• v.2 no.2
• /
• pp.38-70
• /
• 1985

The purpose of this paper is to provide a review of the literature on the role of end-user intermediary systems in information retrieval. The paper starts with an introduction pointing out the problems involved in conventional retrieval system. The next section covers the major developments in the field of intermediary systems including natural language processing, automatic query formulation, relevance feedback, and automatic query refinement. The paper concludes with a general overview of the current state of the art and its future implications in information retrieval.

• The Journal of Information Technology and Database
• /
• v.3 no.2
• /
• pp.75-96
• /
• 1996

This study is intended to compare the effectiveness of the neural network inductive learning model with a vector space model in information retrieval. As a result, searches responding to incomplete queries in the neural network inductive learning model produced a higher precision and recall as compared with searches responding to complete queries in the vector space model. The results show that the hybrid methodology of integrating an inductive learning technique with the neural network model can help solve information retrieval problems that are the results of inconsistent indexing and incomplete queries--problems that have plagued information retrieval effectiveness.

• Proceedings of the CALSEC Conference
• /
• 1999.07b
• /
• pp.575-586
• /
• 1999

The advent of the Internet and the enormous increase in volume of electronically stored information (SGML, Image, Sound, etc.) has led to substantial work on IR(Information Retrieval). To service on the WWW, construction and retrieval technology of SGML, which is the fundamental standard data format for CALS/EC, is needed specially. Due to such a change, it becomes essential to change the existing paradigm of conventional information retrieval systems and to adopt new Internet service system with search engine, SGML browser and advanced Internet technology on WWW. KIPRIS(Korea Industrial Property Rights Information Service), which is the specialized and integrated Internet service systems in the field of industrial property rights information service, is trying to be a guide for our country to establish its technological competitiveness with providing the online service of high quality. The objective of the paper identifies features and technologies of KIPRIS IR(Information Retrieval) system based on WWW as follows. First, it describes the development background and process of KIPRIS. Second, it presents a fundamental technology that consists of IR(Information Retrieval) concept, BRS(Bibliographical Retrieval System) search engine, SGML implementation technologies and the Internet/WWW technologies. Third, it provides information about system configuration, architecture, and the features and characteristics of KIPRIS. Finally, the implemented KIPRIS system is introduced.

• Journal of information and communication convergence engineering
• /
• v.9 no.3
• /
• pp.282-286
• /
• 2011

Recently, a name retrieval function is widely used on navigation systems. In this paper, we propose the new dynamic hashing algorithm for a name retrieval function on it. The proposed dynamic hashing algorithm by constructing an index using the variance information of character is the better than existing methods in terms of storage capacity and retrieval speed. The algorithm proposed in this paper can be useful on systems that have limited resources as well as navigation systems.

• Journal of the Korean Society for information Management
• /
• v.28 no.2
• /
• pp.135-158
• /
• 2011

The ability of the searcher to express their information problem to an information retrieval system is fundamental to the retrieval process. Query by visual example is the principal query paradigm for expressing queries in a content-based image retrieval environment yet there is little empirical evidence to support its efficacy in facilitating query formulation. The aim of this research was to investigate the usability of the query by colour method in supporting a range of information problems in order to contribute to the gap in knowledge regarding the relationship between searchers' information problems and the query methods required to support efficient and effective visual query formulation. The results strongly suggest that the query method does not support visual query formulation and that there is a significant mismatch between the searchers information problems and the expressive power of the retrieval paradigm.

• The Transactions of the Korea Information Processing Society
• /
• v.4 no.1
• /
• pp.76-86
• /
• 1997

Many information retrieval systems have a simple process structure that a client process for a user is mapped to a server process for information retrieval. That is, when using information retrieval systems, each user is allocated a big process that consists of user interfaces, retrieval automatic indexing systems and storage systems. Therefor when many users use the information retrieval systems, it might be difficult to use the information retrieval systems. This is because the system overhead is increased as enormously much as users cannot use them. In this paper, we propose a new process structure for constructing efficient information retrieval systems that solves the problem resulting from he process structure. The proposed process structure contributes to the whole operational performance improvement of information retrieval systems and the efficientnt use of computer system resources. It is constructed based on a multi-threading scheme and a transaction processing monitor.

• International conference on construction engineering and project management
• /
• 2013.01a
• /
• pp.648-651
• /
• 2013

The information generated in large-scale and complex construction projects are transferred continuously and transformed into project products on the long span life cycle. Therefore, information flow management is related with the success of project directly. However, certain characteristics of large-scale and complex construction projects make the solving the problem more difficultly. Although several information retrieval systems support the information management system, it is not suitable to grasp information flows. Hence, we developed an information retrieval system specialized with the information flow based on a preceding research. The system consists of a relation-based database and the process information transferring relation inference application module. The system enables project managers to manage the entire project process more efficiently and each project member to work their own task being served the information flow retrieval results.

• Journal of KIISE:Software and Applications
• /
• v.31 no.11
• /
• pp.1519-1533
• /
• 2004

When Web-based special retrieval systems for scientific field extremely restrict the expression of user's information request, the process of the information content analysis and that of the information acquisition become inconsistent. In this paper, we apply the fuzzy retrieval model to solve the high time complexity of the retrieval system by constructing a reduced term set for the term's relatively importance degree. Furthermore, we perform a cluster retrieval to reflect the user's Query exactly through the similarity relation matrix satisfying the characteristics of the fuzzy compatibility relation. We have proven the performance of a proposed re-ranking model based on the similarity union of the fuzzy retrieval model and the document cluster retrieval model.

• Asia pacific journal of information systems
• /
• v.2 no.1
• /
• pp.3-15
• /
• 1992

This paper proposes a new referential model for data retrieval as an alternative to exact matching. While exact matching is an effective data retrieval model, it is based on fairly strict assumptions and limits our capabilities in data retrieval. This study redefines data retrieval to include non-binary data retrieval in addition to binary data retrieval, proposes Double Anchor Preference Model (DAPM), and analyzes its logical charateristics. DAPM supports non-binary data retrieval. Further, it produces the same result as exact matching for the conventional binary data retrieval. These findings show that, at the logical level, the proposed DAPM retains all the desirable features for data retrieval.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.7 no.6
• /
• pp.1129-1133
• /
• 2006

In this thesis, we propose a semantics-based video retrieval system which supports semantics-retrieval for various users of massive video data. Proposed system automatically processes the extraction of contents information which video data has and retrieval process using agent which integrate annotation-based retrieval and feature-based retrieval. From experiment, the designed and implemented system shows increase of recall rate and precision rate for video data scene retrieval in performance assessment.