The Database Approach to Knowledge Representation
نویسنده
چکیده
The database theory community, centered around the PODS (Principles of Database Systems) conference has had a long-term interest in logic as a way to represent “data, ” “information,” and “knowledge” (take your pick on the term it boils down to facts or atoms and rules, usually Horn clauses). The approach of this community has been “slow and steady,” preferring to build up carefully from simple special cases to more general ideas, always paying attention to how efficiently we can process queries and perform other operations on the facts and rules. A powerful theory has developed, and it is beginning to have some impact on applications, especially information-integration engines.
منابع مشابه
A 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 کاملAutomatic Hashtag Recommendation in Social Networking and Microblogging Platforms Using a Knowledge-Intensive Content-based Approach
In social networking/microblogging environments, #tag is often used for categorizing messages and marking their key points. Also, since some social networks such as twitter apply restrictions on the number of characters in messages, #tags can serve as a useful tool for helping users express their messages. In this paper, a new knowledge-intensive content-based #tag recommendation system is intr...
متن کاملخوشهبندی اسناد مبتنی بر آنتولوژی و رویکرد فازی
Data mining, also known as knowledge discovery in database, is the process to discover unknown knowledge from a large amount of data. Text mining is to apply data mining techniques to extract knowledge from unstructured text. Text clustering is one of important techniques of text mining, which is the unsupervised classification of similar documents into different groups. The most important step...
متن کاملConsidering Uncertainty in Modeling Historical Knowledge
Simplifying and structuring qualitatively complex knowledge, quantifying it in a certain way to make it reusable and easily accessible are all aspects that are not new to historians. Computer science is currently approaching a solution to some of these problems, or at least making it easier to work with historical data. In this paper, we propose a historical knowledge representation model takin...
متن کاملImage Classification via Sparse Representation and Subspace Alignment
Image representation is a crucial problem in image processing where there exist many low-level representations of image, i.e., SIFT, HOG and so on. But there is a missing link across low-level and high-level semantic representations. In fact, traditional machine learning approaches, e.g., non-negative matrix factorization, sparse representation and principle component analysis are employed to d...
متن کاملSpatial Representation and Production and Reproduction of the Mental Image: Lefebvre’s Trialectic Approach
Lefebvre's theory of space production has been very much considered. In particular, it is important to integrate it systematically into the categories of city and space as a comprehensive and comprehensible social theory. Lefebvre's theory of space production has been remarkable in recent years and has responded well to the many questions posed in the early 1970s. Lefebvre in his trialectic in ...
متن کامل