SudocAD: A Knowledge-Based System for the Author Linkage Problem
نویسندگان
چکیده
SudocAD is a system concerning the author linkage problem in a bibliographic database context. Having a bibliographic database E and a (new) bibliographic notice d, r being an identifier of an author in E and r′ being an identifier of an author in d: is that r and r′ refer to the same author ? The system, which is a prototype, has been evaluated in a real situation. Compared to results given by expert librarians, the results of SudocAD are interesting enough to plan a transformation of the prototype into a production system. SudocAD is based on a method combining numerical and knowledge based techniques. This method is abstractly defined and even though SudocAD is devoted to the author linkage problem the method could be adapted for other kinds of linkage problems especially in the semantic web context.
منابع مشابه
Aggregation Semantics for Link Validity
In this paper we address the problem of link repair in bibliographic knowledge bases. In the context of the SudocAD project, a decision support system (DSS) is being developed, aiming to assist librarians when adding new bibliographic records. The DSS makes the assumption that existing data in the system contains no linkage errors. We lift this assumption and detail a method that allows for lin...
متن کاملSudocAD: A Knowledge-Based System for Object Identification
This is a DRAFT version of a paper that will be finalized and submitted for publication in January 2013
متن کاملSensorless Speed Control of Switched Reluctance Motor Drive Using the Binary Observer with Online Flux-Linkage Estimation
An adaptive online flux-linkage estimation method for the sensorless control of switched reluctance motor (SRM) drive is presented in this paper. Sensorless operation is achieved through a binary observer based algorithm. In order to avoid using the look up tables of motor characteristics, which makes the system, depends on motor parameters, an adaptive identification algorithm is used to estim...
متن کاملSystems Risk Analysis UsingHierarchical Modeling
A fresh look at the system analysis helped us in finding a new way of calculating the risks associated with the system. The author found that, due to the shortcomings of RPN, more researches needed to be done in this area to use RPNs as a new source of information for system risk analysis. It is the purpose of this article to investigate the fundamental concepts of failure modes and effects ana...
متن کاملA New Approach for Knowledge Based Systems Reduction using Rough Sets Theory (RESEARCH NOTE)
Problem of knowledge analysis for decision support system is the most difficult task of information systems. This paper presents a new approach based on notions of mathematical theory of Rough Sets to solve this problem. Using these concepts a systematic approach has been developed to reduce the size of decision database and extract reduced rules set from vague and uncertain data. The method ha...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2013