There is a growing need to define a semantic mapping from a database schema to an ontology. Such a mapping is an integral part of the data integration systems that use an ontology as a unified global view. However, both ontologies and database schemas evolve over time in order to accommodate updated information needs. Once the ontology and the database schema associated with a semantic mapping ...

Semantic segmentation has been a major topic in computer vision, and has played an important role in understanding object classes as well as object localizations. Recent development in deep learning, especially in fully-convolutional neural network, has enabled pixel-level labeling for more accurate results. However most of the previous works, including FCN, did not take object boundary into co...

Solving problems often requires seeing new connections between concepts or events that seemed unrelated at first. Innovative solutions of this kind depend on analogical reasoning, a relational reasoning process that involves mapping similarities between concepts. Brain-based evidence has implicated the frontal pole of the brain as important for analogical mapping. Separately, cognitive research...

At Tran Quoc Toan High School, when students learn English, they usually faced with many difficulties not only in specific language skills but also in vocabulary memorizing. Because of their learning habits and learning strategies, they failed to memorize words for a long time and to recall words when necessary. Based on literature review, it is found that semantic mapping has had good effects ...

Data integration provides the user with a unified view of legacy data, and the semantic mapping from relational database (local sources) to global ontologies is one of key aspects for building data integration system. The manual mapping is time-consuming and error-prone. In this paper, groups of semantic mapping rules from relational database to global OWL ontologies are proposed in detail, inc...

Ontologies are developed to describe data semantics on the Semantic Web. Given the distributed nature and scale of the Semantic Web, a large number of ontologies with different terminologies and structures will be created to describe the same concepts and domains. Without semantic mapping, information fluidity within the Web could be blocked at the boundaries of these ontologies. Therefore, ont...

Mapping relational databases to RDF is a fundamental problem for the development of the Semantic Web. We present a solution, inspired by draft methods defined by the W3C where relational databases are directly mapped to RDF and OWL. Given a relational database schema and its integrity constraints, this direct mapping produces an OWL ontology, which, provides the basis for generating RDF instanc...

Zero-Shot Learning (ZSL) aims to classify a test instance from an unseen category based on the training instances from seen categories, in which the gap between seen categories and unseen categories is generally bridged via visual-semantic mapping between the low-level visual feature space and the intermediate semantic space. However, the visual-semantic mapping (i.e., projection) learnt based ...

Semantic integration remains a serious challenge in the context of the Semantic Web. Current research aims to solve this issue through the development of ontology mapping processes. However, there is a lack of rules and guidance for the use of those processes. This paper introduces an ontology mapping framework which covers the entire ontology mapping process from mapping discovery to mapping e...

We present an evaluation of inter-sentential coreference annotation in the context of manually created semantic networks. The semantic networks are constructed independently be each annotator and require an entity mapping priori to evaluating the coreference. We present the model used for mapping the semantic entities as well as the algorithm used for our evaluation task. We present the raw sta...