Explicit scientific knowledge comparison based on semantic description matching

Semantic Scientific Knowledge Integration

Interest in and requirements for the next generation of information technology for science are expanding. eScience has become a growing subject of discussion covering topics such as grid computing for science as well as knowledgeenhanced scientific data retrieval. The demand for deep integration of scientific data within and between disciplines is also growing, as larger and broader science que...

the role of semantic and communicative translation on reading comprehension of scientific texts

the following null hypothesis was proposed: h : there is no significant difference between the use of semantically or communicatively translates scientific texts. to test the null hypothesis, a number of procedures were taken first, two passages were selected form soyrcebooks of food and nutrition industry and gardening deciplines. each, in turn, was following by a number of comprehension quest...

An Improved Semantic Schema Matching Approach

Schema matching is a critical step in many applications, such as data warehouse loading, Online Analytical Process (OLAP), Data mining, semantic web [2] and schema integration. This task is defined for finding the semantic correspondences between elements of two schemas. Recently, schema matching has found considerable interest in both research and practice. In this paper, we present a new impr...

Semantic Search on Unstructured Data: Explicit Knowledge through Data Recycling

Ontology matching based on Probabilistic Description Logic

A lot of attention has been devoted to probabilistic methods for discovering semantic mappings between ontologies. Despite impressive theory foundation, these methods usually require massive data instances to learn the mappings, which are not always available in practice. In this paper we present the Probabilistic Description Logic based Ontology Matcher (PDLOM) for discovering such mappings us...