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PROJECT TOPIC: DESIGN AND IMPLEMENTATION OF A COMPUTERIZED PEDIATRICS INFORMATION SYSTEM CASE STUDY OF UNICEF

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CHAPTER ONE

BACKGROUNT OF STUDY

1.1                   INTRODUCTION

The amount of documents in computerized pediatrics information system usually grows rapidly overtime. How to store, manage and search these documents within the COMPUTERIZED PEDIATRICS INFORMATION SYSTEM is a challenging problem. Documents in COMPUTERIZED PEDIATRICS INFORMATION SYSTEM are stored as semi-structured data, while in the traditional relational database it is stored as structured data. Relational database management system cannot manage semi-structured data efficiently and cannot satisfy the requirement of content-based text retrieval.

A lot of research works have been done about semi-structured data, such as data modeling, query language for text retrieval, index methods and text retrieval algorithms and similarity search algorithms. These research results have been used a lot in COMPUTERIZED PEDIATRICS INFORMATION SYSTEM systems. SSREADER COMPUTERIZED PEDIATRICS INFORMATION SYSTEM, the national COMPUTERIZED PEDIATRICS INFORMATION SYSTEM and wanfang database are popular referencing system in china. All the referencing system classify the documents into several classes and support querying inside a given class. Metadata search and full-text search through a single keyword or expressions are both supported in these referencing systems. other examples of referencing system are greenstone COMPUTERIZED PEDIATRICS INFORMATION SYSTEM, uc berkeley COMPUTERIZED PEDIATRICS INFORMATION SYSTEM, tufts COMPUTERIZED PEDIATRICS INFORMATION SYSTEM, acm COMPUTERIZED PEDIATRICS INFORMATION SYSTEM, ncstrl etc. similar functions are supported in these referencing system, such as metadata searching, full-text searching, documents classification and browsing. Greenstone COMPUTERIZED PEDIATRICS INFORMATION SYSTEM has a suite of software that provides management toCPIS for creating and maintaining a COMPUTERIZED PEDIATRICS INFORMATION SYSTEM. tufts COMPUTERIZED PEDIATRICS INFORMATION SYSTEM is for the integration of collections that exist or may be developed in the future. there is a system named lore developed by Stanford. it is a database management system for managing semi-structured data. The ncstrl at cornell university is a distributed technical report referencing method developed by the arpa-sponsored computer science technical report project. The ncstrl collection is distributed among a set of interoperating servers operated by participating pediatricss. all of the referencing system described above do not support the following functions: structure and content-based queries, automatic entries of external documents and parallel document processing.

The CPIS system described in this study has the following features. (1) Generalization: It is essentially a general document database management system. It can be used to build referencing system for user needs and provides a suite of toCPIS to maintain it. (2) Parallelism. CPIS uses a lot of processors to execute queries and manage documents, which improves both storage capacity and query efficiency. (3) Structure and content-based retrieval. Users can query inside a document for an element, e.g. a chapter of a book, which not only allows users to propose for a more accurate query, but also reduce the information transmission workload in networks. (4) Personalization. CPIS can query according to user’s interest and recommend documents relevant to user. (5) Automatic external data entering. CPIS can combine with other search engines in finding and adding references automatically. (6) Multi-format supporting. DL collects a lot of document resources including books, journal papers, proceedings etc. and supports document information retrieval for a lot of document formats. (7) DLSQL query. CPIS defines a query language like standard SQL, named DLSQL. By using DLSQL, users can program and do all the operations in CPIS. (8) Automatic document classification. It creates a classifier according to the sample documents loaded by the system manager and automatically classifies documents.

A method for cross referencing material in a reference work having a plurality of portions therein, comprising the following steps:

(a) providing a reference work including a plurality of major sections, a plurality of minor sections within at least two of the major sections, and a plurality of instructional steps within at least two of the minor sections;

(b) further providing a first series of sequential numbers for referencing each of the major sections, with each of the numbers of the first series corresponding to one of the major sections in sequential order; (c) further providing a second series of sequential numbers for referencing each of the minor sections, with each of the numbers of the second series corresponding to one of the minor sections in sequential order;


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