Ontology is the process of growth and elucidation of concepts of an information domain being common for a group of users. Establishing ontology into information retrieval is a normal method to develop searching effects of relevant information users require. Keywords matching process with historical or information domain is significant in recent calculations for assisting the best match for spec...

a bilingual corpus is considered as a very important knowledge source and an inevitable requirement for many natural language processing (nlp) applications in which two languages are involved. for some languages such as persian, lack of such resources is much more significant. several applications, including statistical and example-based machine translation needs bilingual corpora, in which lar...

Thought interoperability has been gaining in importance and become an essential issue within the Semantic Web community, the main challenge of interoperability and data integration is still ontology matching. With this in mind, we wish to contribute to the enhancement of (semantic) interoperability by supporting the ontology matching issue; we propose an evaluation framework for matching approa...

this research has studied the language disorders of persian-speaking aphasic patients to evaluate their comprehension abilities of simple and compound nouns, and to specify the categories having the largest number of vulnerabilities. the subjects were 3 monolingual patients (2 broca’s and 1 transcortical motor aphasics) referring to speech therapy clinics of shafa hospital and welfare rehabilit...

Ontology matching produces mapping relations between elements of two ontologies and it is a basic problem in geographical information integration. Currently, most existing studies rely on all kinds of semantic similarity between the semantic entities to measure ontology mapping relations. However, these measures are not sufficient due to only detecting equivalence relation of compared ontologie...

The Semantic Web is a mesh of information linked up such that it can be easily processed by machines. The focus of semantic web is to share data instead of documents and the ontologies act as the mainstay of the semantic web. Ontologies are used to represent domain knowledge in semantic web. As ontologies have many applications in various prominent fields, ontology reuse is becoming increasingl...

Typical ontology matching applications, such as ontology integration, focus on the computation of correspondences holding between the nodes of two graph-like structures, e.g., between concepts in two ontologies. However, for applications such as web service integration, we need to establish whether full graph structures correspond to one another globally, preserving certain structural propertie...

\Semantic matching" is the process of generating a basis set of substitutions (of terms for variables) that makes one term equal to another in a speci ed theory. We restrict ourselves here to matching problems in equational theories that can be presented as programs in the form of convergent rewrite systems, that is, nite sets of equations that compute unique output values when applied (from le...

We propose a novel solution for semantic-based XML schema matching, taking a mathematical programming approach. This method identifies the globally optimal solution for the problem of matching two XML schemas by reducing the tree-to-tree matching problem to simpler problems of pathto-path, node-to-node, and word-to-word matching. We formulate these matching problems as maximum-weighted bipartit...

Image and sentence matching has made great progress recently, but it remains challenging due to the large visualsemantic discrepancy. This mainly arises from that the representation of pixel-level image usually lacks of high-level semantic information as in its matched sentence. In this work, we propose a semantic-enhanced image and sentence matching model, which can improve the image represent...