NDLI: From the Inference System Suitable for Human to the Inference System Suitable for Computer

Content Provider	IEEE Xplore Digital Library
Author	Xunwei Zhou Hong Bao
Copyright Year	2008
Description	Author affiliation: Coll. of Inf., Beijing Union Univ., Beijing (Hong Bao) \|\| Inst. of Inf. Technol., Beijing Union Univ., Beijing (Xunwei Zhou)
Abstract	The rule in rule-based system can be divided into two categories: inference rule and knowledge expressed by ldquoif..., then...rdquo Therefore, rule-based system can be divided into inference rule system and hypothetical inference system. In inference rule system, the general law is regarded as the inference rule, used to infer the unknown facts or theorems from the known ones. This inference system is concise, needs skills. It is suitable for human. But, there are many inference rules, a computer cannot choose from them automatically. So, it is not suitable for computer. A computer is suitable to make inference that is repetitive, mechanical, does not need skills. In hypothetical inference system, the general law is expressed by ldquoifldrldrldr, thenldrldrldrrdquo and regarded as the theorem and taken as the major premise, hypothetical inference is regarded as the sole inference rule. Because there is only one inference rule, every time a computer wants to make inference, the computer employs it. As to the numerous known facts or theorems, the computer searches them top-down, from left to right, depth first plus backtracking, as the way Prolog does. This inference system is not concise, not need skill, but is repetitive, mechanical. So, hypothetical inference system is not suitable for human but is suitable for computer. Inference rule system can be transformed into hypothetical inference system.
Starting Page	219
Ending Page	223
File Size	226567
Page Count	5
File Format	PDF
ISBN	9780769535050
DOI	10.1109/IITA.Workshops.2008.18
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Knowledge based systems Humans Relational databases Educational institutions Cognition Spatial databases Application software Information technology
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

KM-a knowledge-based modeling framework for multi-model information systems (MMIS)

An overview of legacy information system migration

Knowledge based architecture to integrate heterogeneous distributed information systems

Entity Driven Task Software Framework for EIS

The transition of application programs from COBOL to a fourth generation language

An extension of SQL to support ordered domains in relational databases

A Migration Approach from Crisp Databases to Fuzzy Databases

Preliminary Study on the Knowledge System Applicable to Inter-disciplinary Innovative Talents for Information-Based Entrepreneurship

Knowledge-based multi-media database management system and its application to map information systems

From the Inference System Suitable for Human to the Inference System Suitable for Computer

Similar Documents

KM-a knowledge-based modeling framework for multi-model information systems (MMIS)

An overview of legacy information system migration

Knowledge based architecture to integrate heterogeneous distributed information systems

Entity Driven Task Software Framework for EIS

The transition of application programs from COBOL to a fourth generation language

An extension of SQL to support ordered domains in relational databases

A Migration Approach from Crisp Databases to Fuzzy Databases

Preliminary Study on the Knowledge System Applicable to Inter-disciplinary Innovative Talents for Information-Based Entrepreneurship

Knowledge-based multi-media database management system and its application to map information systems

From the Inference System Suitable for Human to the Inference System Suitable for Computer