With the rapidly growing number of online product models in construction industry, there is
an urgent need for develo** effective domain-specific information retrieval methods …

Wikipedia provides an enormous amount of background knowledge to reason about the
semantic relatedness between two entities. We propose Wikipedia-based Distributional …

Abstract Explicit Semantic Analysis (ESA) utilizes the Wikipedia knowledge base to
represent the semantics of a word by a vector where every dimension refers to an explicitly …

Explicit semantic analysis (ESA) utilizes an immense Wikipedia index matrix in its interpreter
part. This part of the analysis multiplies a large matrix by a term vector to produce a high …

Being able to correctly model semantic relatedness between texts, and consequently the
concepts represented by these texts, has become an important part of many intelligent …

Abstract We propose the Normalized Relevance Distance (NRD): a robust metric for
computing semantic relatedness between terms. NRD makes use of a controlled reference …

Greater or lesser personality disorders are due to a stressful and time-tight way of life today,
and quite frequent in the case of restrictions or complications in the life of an individual is …

Background Semantic relatedness is a measure that quantifies the strength of a semantic
link between two concepts. Often, it can be efficiently approximated with methods that …

Abstract Explicit Semantic Analysis (ESA) is an approach to calculate the semantic
relatedness between two words or natural language texts with the help of concepts …

The Big Data vision is based on the idea of supporting users and information systems with
large-scale and comprehensive data. Data sources based on new platforms such as open …