Penstation: Easy Access to Relevant Facts without Retrieving
نویسندگان
چکیده
In this paper, we propose a document-preparation environment integrated with text-retrieval in the frame work of seamless digital network library. We often write documents on a word processor while referring to other text-files on personal files , group files and much open information resources like libraries and information serviced on digital network as well as books, papers and printed matters. Much of information has been already on disks and networks so that tedious looking-up work of books and paper dictionary is largely reduced with mouse clicks or key strokes for retrieving digital information resources . But there are still difficulties in referring along with writing documents on computer: (1)The acts such as key operations, mouse operations for file retrieval and(/or) book consultation for detecting relevant references interrupt users’ concentration on how to express what they have in their heads, (2)No practical way to find location of information is available although users know surely there exists a vast volume of indispensable information for explicating their ideas somewhere, (3)Unconsciousness of existence of useful information can not invoke users’ request of information retrieval. To solve these problems, we propose an integrated system to realize the automatic and low-cost index acquisition and documentation support environment by utilizing rich indexes acquired during writing documents. This environment encourages users’ building ideas by low-cost presentation of document components collected from personal, group and open information resources. A sophisticated idea building environment has been realized based on the concept of episodic indexes and citation indexes for consulting easily personal and group document bases. It is also supported by functional retrieving mechanism of much larger volume of text data base. These establishes a new environment integrated with episode indexing which enables the total utilization of both known in personal and group files, and unknown and new information in open data base.
منابع مشابه
Comparison of Bibliographic Databases in Retrieving Information on Telemedicine
Background & Aims: Some of the main questions which can be of importance for those researchers who intend to perform a systematic review in a field of science are: ‘What databases should I use for my review?’; ‘Do all these databases have the same value?’; and ‘Which sourcesretrieved the highest of relevant references?’. The main aim of this work was the identification of the best database for ...
متن کاملThe Distribution of Online Healthcare Information: A Case Study on Melanoma
To understand the difficulties users face when retrieving comprehensive healthcare information, this paper analyzes how facts related to a widely available healthcare topic are distributed across high-quality webpages. An inter-rater experiment with two skin-cancer physicians helped identify 14 facts necessary for a comprehensive understanding of melanoma risk and prevention. A second inter-rat...
متن کاملDiverse types of review studies based on their approach to retrieving and summarizing original findings
Background: We are living in an era in which different branches of science are growing very rapidly. Therefore, retrieving and summarizing all new valid findings on a specific subject is one of the most important priorities of scientists. The aim of the present article is to categorize different review studies within the health domain based on their approach to retrieving and summarizing ...
متن کاملSketch Based Image Retrieval by Using Feature Extraction Technique
Nowadays, touch screen technology makes drawing a sketch easier. It also makes searching and surfing easier for disabled children. Retrieving images with a sketch is a highly desired feature for disabled children with autism. The image retrieval system was defined as a computer system for searching, browsing and accessing the image. It is not easy for autistic children to recognize suitable key...
متن کاملDocument Indexing using Named Entities
Current text indexing and retrieval techniques have their roots in the field of Information Retrieval where the task is to extract documents that best match a query. With an ever increasing number of documents available due to the easy access through the Internet, the challenge is to provide users with concise and relevant information. We are proposing here a novel, yet simple approach, which i...
متن کامل