Information retrieval in hydrochemical data using the latent semantic indexing approach

Information retrieval in hydrochemical data using the latent semantic indexing approach

Petr Praus (corresponding author) Department of Analytical Chemistry and Material Testing, VSB-Technical University Ostrava, 17 listopadu 15, 708 33 Ostrava, Czech Republic Tel.:+420 59 732 3370 Fax: 420 59 732 3370 E-mail: [email protected] Pavel Praks Department of Mathematics and Descriptive Geometry, Department of Applied Mathematics, VSB-Technical University Ostrava, 17 listopadu 15, 708 3...

Automatic Cross-Linguistic Information Retrieval using Latent Semantic Indexing

Automatic Cross-Language Information Retrieval using Latent Semantic Indexing

We describe a method for fully automated cross-language document retrieval in which no query translation is required. Queries in one language can retrieve documents in other languages (as well as the original language). This is accomplished by a method that automatically constructs a multi-lingual semantic space using Latent Semantic Indexing (LSI). We present strong preliminary test results fo...

On the Performance of Latent Semantic Indexing based Information Retrieval

Conventional vector-based Information Retrieval (IR) models: Vector Space Model (VSM) and Generalized Vector Space Model (GVSM) represents documents and queries as vectors in a multidimensional space. This high dimensional data places great demands on computing resources. To overcome these problems, Latent Semantic Indexing (LSI), a variant of VSM, projects the documents into a lower dimensiona...

Downdating the Latent Semantic Indexing Model for Conceptual Information Retrieval

Due to the growth of large data collections, information retrieval or database searching is of vital importance. Lexical matching techniques may retrieve irrelevant or inaccurate results because of synonyms and polysemous words, so effective concept-based techniques are needed. One such technique is latent semantic indexing (LSI) which uses a vector-space approach by identifying documents whose...