Structured elements, such as manually assigned keywords or key-phrases in scientific collections, are pervasive in digital libraries. Special dictionaries or thesauri for the meta-information are not always available. Our strategy is to compute the similarity of keywords based on their occurrence in the collection. The resulting keyword space is brought to bear on a variety of tasks. Combined w...

Abstract—Data Envelopment Analysis is a kind of important analyzing tool and research method in evaluation. As a method, introducing secondary relative evaluation method, the Data Envelopment Analysis (DEA) is applied to evaluate road traffic safety in different areas based on optimizing evaluation index system. This paper mostly discusses the relatively safety of different areas. Keywords—road...

Rough data envelopment analysis (RDEA) evaluates the performance of the decision making units (DMUs) under rough uncertainty assumption. In this paper, new discussion regarding RDEA is extended. The RSBM model is proposed by integrating SBM model and rough set theory. The process of reaching solution is presented and this model is applied to efficiency evaluation of the DMUs with uncertain ...

Keyword extraction attracts much attention for its significant role in various natural language processing tasks. While some existing methods for keyword extraction have considered using single type of semantic relatedness between words or inherent attributes of words, almost all of them ignore two important issues: 1) how to fuse multiple types of semantic relations between words into a unifor...

In recent years, many private corporations and government organizations have digitized corpuses of legacy paper documents. Often, these organizations hope to take advantage of digital representations to transform costly manual tasks associated with paper archives into less-costly computer-assisted tasks. The most common approach toward automated information extraction is through inverted indexi...