ontology-based integration
Ontology-Based Integration of Streaming and Static Relational Data with Optique
... data integration approach that is based on Semantic ...as Ontology-Based Stream-Static Data Integration ...data integration paradigm that requires to create a common ‘global’ ...
5
A dependency modelling approach for the management of ontology based integration systems
... The approach supports mapping evolution by providing three levels of the dependency graphs that enable the system integrators to manage and evolve the mappings in the integration system. This is achieved by ...
283
Ontology-based Integration of Web Navigation for Dynamic User Profiling
... usage of ontology-shaped profile construc- tions. Numerous approaches use structured open linked data [8] as domain knowledge. A lot of them refer to WordNet [9–11], DBPe- dia [12] or the Open Directory Project ...
15
Integration of a Chinese character ontology and Historical Glyph Examples
... Currently, in the CHISE project, we are formulating a guideline to detect unifiable range of glyph or abstract glyph form objects named “CHISE Guidelines for Glyph Granularity of Chinese characters” (CHISE-GGG) (8). In ...
15
Evolving BioAssay Ontology (BAO): modularization, integration and applications
... details, roles, functions and qualities of molecular entities participating the the assays. 297 luciferase assays (vide supra) containing 328 measure groups are among the anno- tated assays, including the ones mentioned ...
22
A mobile health monitoring-and-treatment system based on integration of the SSN sensor ontology and the HL7 FHIR standard
... The ontology is a knowledge representation formalism, where the resulting knowledge is sharable, manageable, accessible, understandable, and processable by machine ...is based on formal description logic ...
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SEMANTIC INTEGRATION OF HETEROGENEOUS WEB DATA FOR TOURISM DOMAIN USING ONTOLOGY BASED RESOURCE DESCRIPTION LANGUAGE
... are carefully designed with metadata. The web contents are universally accessible interlinking of content based on imputed semantics such as concepts, definitions or structured argumentation. The Semantic web ...
6
Ontology Integration for Advanced Manufacturing Collaboration in Cloud Platforms
... Email: calyamp@missouri.edu; {srd6c, ar442, rcb553}@mail.missouri.edu; j.cecil@okstate.edu; rleto@totalsim.us Abstract—Advances in the field of cloud computing and net- working have led to rapid development and market ...
7
Ontology Pattern-Based Data Integration
... data integration needs, content patterns 4 are particularly useful for providing a unified perspective over the data while still permitting a degree of semantic indepen- dence between the data ...modular ...
234
Dynamic Integration of Multiple Evidence Sources for Ontology Learning
... Current ontology learning approaches tend to focus on extraction from a single type of data source, primarily ...for ontology learning and evolution tasks is that many documents do not refer to important ...
12
Dynamic Integration of Multiple Evidence Sources for Ontology Learning
... existing ontology learning system [Weichselbraun et ...evidence integration with the semantic network, and concept selection and positioning with the help of spreading activation ...sources based on ...
12
Ontology learning as a use-case for neural-symbolic integration
... neural-symbolic integration to date — is based on propo- sitional logic or similarly finitistic ...the integration task becomes much harder due to the fact that the underlying language is infinite ...
5
Predicting instances of pathway ontology classes for pathway integration
... Pathway representations are critical for modeling and understanding the physiological processes underlying both normal and disease health states, but a lack of understanding of the relationships between pathways of ...
11
Ontology-based Skills Management
... the ontology later on [13, ...the ontology understandable with its inherent ...applied. Ontology development tools do help by enabling natural or formal language or graphi- cal account of an ...
19
A multi-matching technique for combining similarity measures in ontology integration
... The main characteristics of the proposed work are (1) assisting the user to choose the appropriate matching teclinique(s) for a given matching task, (2) inferring a hidden structure r[r] ...
141
ONTOLOGY BASED WEB SEARCH
... using ontology for information retrieval (IR) has been explored by some approaches to better answer users’ ...touse ontology to add the semantic similarity between the user intent and the web return ...
5
An Ontology Based Text Mining
... by ontology. Thus, ontology can automate information processing and facilitate text mining in a specific domain (such as research project ...research ontology containing the projects funded in last ...
5
Ontology integration to identify protein complex in protein interaction networks
... Weights quantify the likelihood of the interaction between every pair of proteins, and they can be esti- mated by encoding the proteins using gene ontology (GO) consortium. “ Ontology ” is a specification ...
10
Supporting Data Integration Tasks with Semi-Automatic Ontology Construction
... importantly, ontology extraction is usually not concerned with keeping mappings be- tween the extracted ontology and the data ...data integration as they are used to translate queries over the global ...
32
Saliva Ontology: an ontology-based framework for a Salivaomics Knowledge Base.
... Saliva Ontology (SALO) is being created through cross-disciplinary interaction between saliva experts, protein experts, diagnosticians, and ...the ontology, and to provide exam- ples of usage and links ...
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