Short text similarity measurement methods play an important role in many applications
within natural language processing. This paper reviews the research literature on short text …

This paper presents an in-depth analysis of a nonconventional topic-based personalization
approach for adaptive educational systems (AES) that we have explored for a number of …

Wikipedia has been applied as a background knowledge base to various text mining
problems, but very few attempts have been made to utilize it for document clustering. In this …

This paper provide a brief survey of semantic similarity including semantic similarity between
concepts and semantic textual similarity. We classify methods of semantic similarity between …

R&D project selection plays an important role in government funding agencies, as allocation
of billions of dollars among the proposals deemed highly influential and contributive solely …

This paper investigates a range of concept-based example recommendation approaches
that we developed to provide example-based problem-solving support in the domain of …

Extracting interest profiles of users based on their personal documents is one of the key
topics of IR research. However, when these extracted profiles are used in expert finding …

In this paper, a novel pulse sequence testing methodology is presented as an alternative to
time domain reflectometry (TDR) for transmission line'health'condition monitoring …

Aiming at more efficient search on the Internet, it seems adequate to deploy classification
techniques using semantic resources restricting this search to the user's domain of interest …

Traditional document indexing techniques store documents using easily accessible
representations, such as inverted indices, which can efficiently scale for large document …