The RELIEF Retrieval System
نویسندگان
چکیده
We introduce in this paper the RELIEF retrieval system, a system for image retrieval based on the conceptual graph formalism. Conceptual graphs can be used as a simple and expressive language for indexing and retrieving non– textual documents. In this formalism the implementation of the matching function between a query and a document is obtained by using the so-called projection operator between two conceptual graphs. However, the first implementations of this operator have shown its lack of efficiency, as it is based on an exponential algorithm. The RELIEF system supports a new polynomial matching function for conceptual graphs which turns out to be equivalent to the projection operator but it has the important feature that it incorporates reasoning about relations. This allows for better qualitative results as well as improved time performance compared to the original system implementing the classical projection. RELIEF is developed on top of the object oriented DBMSO2, and any WWW-navigator with JAVA facilities can be used to access its interface.
منابع مشابه
Reducing Retrieval Time in Automated Storage and Retrieval System with a Gravitational Conveyor Based on Multi-Agent Systems
The main objective of this study is to reduce the retrieval time of a list of products by choosing the best combination of storage and retrieval rules at any time. This is why we start by implementing some storage rules in an Automated Storage/Retrieval System (Automated Storage and Retrieval System: AS/RS) fitted with a gravity conveyor while some of these rules are dedicated to storage and ot...
متن کاملSemiautomatic Image Retrieval Using the High Level Semantic Labels
Content-based image retrieval and text-based image retrieval are two fundamental approaches in the field of image retrieval. The challenges related to each of these approaches, guide the researchers to use combining approaches and semi-automatic retrieval using the user interaction in the retrieval cycle. Hence, in this paper, an image retrieval system is introduced that provided two kind of qu...
متن کاملRetrieval–travel-time model for free-fall-flow-rack automated storage and retrieval system
Automated storage and retrieval systems (AS/RSs) are material handling systems that are frequently used in manufacturing and distribution centers. The modelling of the retrieval–travel time of an AS/RS (expected product delivery time) is practically important, because it allows us to evaluate and improve the system throughput. The free-fall-flow-rack AS/RS has emerged as a new technology for dr...
متن کاملBoosting Passage Retrieval through Reuse in Question Answering
Question Answering (QA) is an emerging important field in Information Retrieval. In a QA system the archive of previous questions asked from the system makes a collection full of useful factual nuggets. This paper makes an initial attempt to investigate the reuse of facts contained in the archive of previous questions to help and gain performance in answering future related factoid questions. I...
متن کاملA Radon-based Convolutional Neural Network for Medical Image Retrieval
Image classification and retrieval systems have gained more attention because of easier access to high-tech medical imaging. However, the lack of availability of large-scaled balanced labelled data in medicine is still a challenge. Simplicity, practicality, efficiency, and effectiveness are the main targets in medical domain. To achieve these goals, Radon transformation, which is a well-known t...
متن کامل