Improving Document Retrieval through a Browsable Interface: The Dimensional Document Store
نویسندگان
چکیده
The corporate world must take advantage of the trillions of dollars worth of intangible assets (in the form of knowledge) it possesses. Specialized Knowledge Management Systems (KMSs) are being developed to leverage these assets, and a critical issue is finding the most effective way for users to retrieve needed information from organizational knowledge stores. Research has detailed the problems inherent in using keyword searches, as well as the use of visual knowledge hierarchies to overcome some of these problems. This paper describes an experiment that will extend that research by addressing whether it is easier to find information in a large knowledge artifact store through a “browseable” dimensional document store or by performing a full-text search.
منابع مشابه
Document Image Retrieval Based on Keyword Spotting Using Relevance Feedback
Keyword Spotting is a well-known method in document image retrieval. In this method, Search in document images is based on query word image. In this Paper, an approach for document image retrieval based on keyword spotting has been proposed. In proposed method, a framework using relevance feedback is presented. Relevance feedback, an interactive and efficient method is used in this paper to imp...
متن کاملImproved Skips for Faster Postings List Intersection
Information retrieval can be achieved through computerized processes by generating a list of relevant responses to a query. The document processor, matching function and query analyzer are the main components of an information retrieval system. Document retrieval system is fundamentally based on: Boolean, vector-space, probabilistic, and language models. In this paper, a new methodology for mat...
متن کاملImproved Skips for Faster Postings List Intersection
Information retrieval can be achieved through computerized processes by generating a list of relevant responses to a query. The document processor, matching function and query analyzer are the main components of an information retrieval system. Document retrieval system is fundamentally based on: Boolean, vector-space, probabilistic, and language models. In this paper, a new methodology for mat...
متن کاملApply Uncertainty in Document-Oriented Database (MongoDB) Using F-XML
As moving to big data world where data is increasing in unstructured way with high velocity, there is a need of data-store to store this bundle amount of data. Traditionally, relational databases are used which are now not compatible to handle this large amount of data, so it is needed to move on to non-relational data-stores. In the current study, we have proposed an extension of the Mongo...
متن کاملدیداری کردن نتایج جستوجو در فرایند بازیابی اطلاعات
Purpose: One of the most effective ways to achieve optimum information retrieval is through visualization of Information. Search strategies, probing skills, querying of information needs and analysis of information play a significant role in the accessing of necessary and useful information. Besides the factors mentioned above, information visualization can increase the availability level of in...
متن کامل