NDLI: A Comparative Study of Inference Engines

Content Provider	IEEE Xplore Digital Library
Author	Singh, S. Karwayun, R.
Copyright Year	2010
Abstract	Understanding and using the data and knowledge encoded in semantic web documents requires an inference engine. Inference engines, also called reasoners, are software applications that derive new facts or associations from existing information. Inference and inference rules allow for deriving new data from data that is already known. Thus, new pieces of knowledge can be added based on previous ones. By creating a model of the information and relationships, we enable reasoners to draw logical conclusions based on the model. The use of inference engines in the semantic web allows applications to inquire why a particular conclusion has been reached, i.e. semantic applications can give proof of their conclusions. Proof traces or explains the steps involved in logical reasoning. This paper is a survey and study work, which presents a comparison of different types of inference engines in context of semantic web. It will enable to differentiate among different types of inference engines which may be beneficial to realize the various proposed prototype systems with different ideas and views on what an inference engine for semantic web should do.
Starting Page	53
Ending Page	57
File Size	242594
Page Count	5
File Format	PDF
ISBN	9781424462704
e-ISBN	9781424462711
DOI	10.1109/ITNG.2010.198
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Knowledge engineering Knowledge Representation Knowledge representation Data engineering Educational institutions Application software Information technology Engines Inference Engine Semantic Web Prototypes Logical Reasoning Logic
Content Type	Text
Resource Type	Article

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