background: finding the right word is a necessity in communication, and its evaluation has always been a challenging clinical issue, suggesting the need for valid and reliable measurements. the homophone meaning generation test (hmgt) can measure the ability to switch between verbal concepts, which is required in word retrieval. the purpose of this study was to adapt and validate the persian ve...

Crime detection is one of the major issues in the field of criminology. In fact, criminology includes knowing the details of a crime and its intangible relations with the offender. In spite of the enormous amount of data on offenses and offenders, and the complex and intangible semantic relationships between this information, criminology has become one of the most important areas in the field o...

Text clustering is a very important technology in the area of text data mining. The semantic calculation method can greatly improve the computational. The aim of this paper is to improve the existing text clustering algorithms, for Chinese text and used semantic clustering method. First, in similarity calculation module of the clustering, used a staged and integrated semantic similarity algorit...

Ontology is the main infrastructure of the Semantic Web which provides facilities for integration, searching and sharing of information on the web. Development of ontologies as the basis of semantic web and their heterogeneities have led to the existence of ontology matching. By emerging large-scale ontologies in real domain, the ontology matching systems faced with some problem like memory con...

The UMLS Semantic Network is constructed by experts and requires periodic expert review to update. We propose and implement a semi-supervised approach for automatically identifying UMLS semantic relations from narrative text in PubMed. Our method analyzes biomedical narrative text to collect semantic entity pairs, and extracts multiple semantic, syntactic and orthographic features for the colle...

One way of representing semantics could be via a high dimensional conceptual space constructed by certain lexical semantic space models. Concepts (words), represented as a vector of other words in the semantic space, can be categorized via clustering techniques into a number of regions reflecting different contexts. The conventional clustering algorithms, e.g., K-means method, however, normally...

This paper provides a framework for semantic correspondence of heterogeneous databases using selforganizing map. It solves the problem of overlapping between different databases due to their different schemas. Clustering technique using self-organizing maps (SOM) is tested and evaluated to assess its performance when using different kinds of data. Preprocessing of database is performed prior to...

Nowadays, Information retrieval plays an important role in the web. Many researches presented techniques for information retrieval process from databases. The previous work presented extended tree pattern clustering process for XML massive storages. This paper presents a new technique termed semantic data clustering (SDC) technique for combining the Data warehouse and web data for OLAP by retri...

Current directory-based hierarchical file systems have many limitations as the amount of unstructured data possessed by individual user is increasing continuously. One of the most significant problems is that users usually have difficulties searching, navigating, and organizing their files since useful semantic information describing a file is not used in the current directory-based system. To ...

Background: Finding the right word is a necessity in communication, and its evaluation has always been a challenging clinical issue, suggesting the need for valid and reliable measurements. The Homophone Meaning Generation Test (HMGT) can measure the ability to switch between verbal concepts, which is required in word retrieval. The purpose of this study was to adapt and validate the Persian ve...