The Experts below are selected from a list of 49152 Experts worldwide ranked by ideXlab platform
Weiming Shen - One of the best experts on this subject based on the ideXlab platform.
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frame based ontological view for Semantic Integration
Journal of Network and Computer Applications, 2012Co-Authors: Hamada Ghenniwa, Weiming ShenAbstract:Semantic Integration is crucial for successful collaboration between heterogeneous information systems. Traditional ontology-driven approaches rely on the availability of explicit ontologies. However, in most application domains, this prerequisite cannot be met. In order to address this issue, this paper investigates the theoretical foundation of ontologies and extends the traditional ontology concept to an ontological view concept. To explicitly and formally specify the ontological views, a Frame-based Ontological view Specification Language (FOSL) is proposed. This language is based on the frame knowledge representation paradigm and uses XML as the encoding. The ontological view driven Semantic Integration can be achieved based on the specifications. A proof-of-concept prototype environment has been implemented to achieve Semantic Integration based on ontological views specified with FOSL.
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instance based domain ontological view creation towards Semantic Integration
Expert Systems With Applications, 2011Co-Authors: Hamada Ghenniwa, Weiming ShenAbstract:In many domains today there are very limited explicit ontologies established for implementing information systems. Traditional ontology-driven Semantic Integration approaches cannot be directly applied in integrating these information systems. Usually, the information systems have schemas, a type of formal information model, for their information repositories which to some extent imply the Semantics of the information. Each schema actually reflects a specific view of the domain conceptualization. This paper investigates the theoretical foundation of ontologies and extends the traditional ontology concept to the ontological view concept. It proposes to use ontological views to address the challenge of Semantic Integration. The proposed approach adopts the schemas to create local ontological views, uses data instances of the information systems to discover Semantic relationships between the concepts within the ontological views, and builds a domain ontological view based on the discovered equivalence mappings. It applies the hierarchical clustering technique on the data instances and, in the further analysis, uses the clusters to reduce the cost of processing a large amount of data. The matching of concept properties is based on the probability distribution of the data instances. The experimental results have demonstrated the effectiveness of this approach.
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ontological view driven Semantic Integration in collaborative networks
Working Conference on Virtual Enterprises, 2009Co-Authors: Hamada Ghenniwa, Weiming ShenAbstract:In collaborative enterprise networks, Semantic heterogeneity is an important factor that hinders collaboration of various information systems. Ontology-driven Semantic Integration is an important category of solutions for the Semantic Integration problem. However, in many domains, there are no explicit and formal ontologies available. This paper proposes to adopt ontological views to address such challenges. It investigates the theoretical foundation of ontologies and ontological views. It presents a framework as a solution, based on the theoretical foundation, including the architecture of a Semantic Integration enabled environment, the modeling and representation of ontological views, and the Semantic equivalence relationship discovered from the ontological views.
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PRO-VE - Ontological View-Driven Semantic Integration in Collaborative Networks
Leveraging Knowledge for Innovation in Collaborative Networks, 2009Co-Authors: Yunjiao Xue, Hamada Ghenniwa, Weiming ShenAbstract:In collaborative enterprise networks, Semantic heterogeneity is an important factor that hinders collaboration of various information systems. Ontology-driven Semantic Integration is an important category of solutions for the Semantic Integration problem. However, in many domains, there are no explicit and formal ontologies available. This paper proposes to adopt ontological views to address such challenges. It investigates the theoretical foundation of ontologies and ontological views. It presents a framework as a solution, based on the theoretical foundation, including the architecture of a Semantic Integration enabled environment, the modeling and representation of ontological views, and the Semantic equivalence relationship discovered from the ontological views.
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Semantic Integration in distributed multidisciplinary design optimization environments
Lecture Notes in Computer Science, 2005Co-Authors: Ying Daisy Wang, Weiming Shen, Hamada GhenniwaAbstract:New design optimization techniques and advanced computer technologies have laid the foundation for the emerging fields of distributed multidisciplinary design optimization (MDO). The challenge now faced by designers is to effectively use this vast amount of knowledge. There are many software tools available in each discipline. However, the key problem is how to integrate these tools and databases, which conform to different interfaces and requirements with little consideration to Integration and reusability, in a flexible and robust way. This paper proposes a novel ontology-based Semantic Integration framework for cooperative distributed MDO environments. The Semantic Integration aspect will provide the foundation for service-oriented architecture for distributed MDO environments. The cooperation aspect will focus on seamless Integration among autonomous MDO systems in dynamic open environments, using multi-agent paradigm.
Hamada Ghenniwa - One of the best experts on this subject based on the ideXlab platform.
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frame based ontological view for Semantic Integration
Journal of Network and Computer Applications, 2012Co-Authors: Hamada Ghenniwa, Weiming ShenAbstract:Semantic Integration is crucial for successful collaboration between heterogeneous information systems. Traditional ontology-driven approaches rely on the availability of explicit ontologies. However, in most application domains, this prerequisite cannot be met. In order to address this issue, this paper investigates the theoretical foundation of ontologies and extends the traditional ontology concept to an ontological view concept. To explicitly and formally specify the ontological views, a Frame-based Ontological view Specification Language (FOSL) is proposed. This language is based on the frame knowledge representation paradigm and uses XML as the encoding. The ontological view driven Semantic Integration can be achieved based on the specifications. A proof-of-concept prototype environment has been implemented to achieve Semantic Integration based on ontological views specified with FOSL.
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instance based domain ontological view creation towards Semantic Integration
Expert Systems With Applications, 2011Co-Authors: Hamada Ghenniwa, Weiming ShenAbstract:In many domains today there are very limited explicit ontologies established for implementing information systems. Traditional ontology-driven Semantic Integration approaches cannot be directly applied in integrating these information systems. Usually, the information systems have schemas, a type of formal information model, for their information repositories which to some extent imply the Semantics of the information. Each schema actually reflects a specific view of the domain conceptualization. This paper investigates the theoretical foundation of ontologies and extends the traditional ontology concept to the ontological view concept. It proposes to use ontological views to address the challenge of Semantic Integration. The proposed approach adopts the schemas to create local ontological views, uses data instances of the information systems to discover Semantic relationships between the concepts within the ontological views, and builds a domain ontological view based on the discovered equivalence mappings. It applies the hierarchical clustering technique on the data instances and, in the further analysis, uses the clusters to reduce the cost of processing a large amount of data. The matching of concept properties is based on the probability distribution of the data instances. The experimental results have demonstrated the effectiveness of this approach.
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ontological view driven Semantic Integration in collaborative networks
Working Conference on Virtual Enterprises, 2009Co-Authors: Hamada Ghenniwa, Weiming ShenAbstract:In collaborative enterprise networks, Semantic heterogeneity is an important factor that hinders collaboration of various information systems. Ontology-driven Semantic Integration is an important category of solutions for the Semantic Integration problem. However, in many domains, there are no explicit and formal ontologies available. This paper proposes to adopt ontological views to address such challenges. It investigates the theoretical foundation of ontologies and ontological views. It presents a framework as a solution, based on the theoretical foundation, including the architecture of a Semantic Integration enabled environment, the modeling and representation of ontological views, and the Semantic equivalence relationship discovered from the ontological views.
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PRO-VE - Ontological View-Driven Semantic Integration in Collaborative Networks
Leveraging Knowledge for Innovation in Collaborative Networks, 2009Co-Authors: Yunjiao Xue, Hamada Ghenniwa, Weiming ShenAbstract:In collaborative enterprise networks, Semantic heterogeneity is an important factor that hinders collaboration of various information systems. Ontology-driven Semantic Integration is an important category of solutions for the Semantic Integration problem. However, in many domains, there are no explicit and formal ontologies available. This paper proposes to adopt ontological views to address such challenges. It investigates the theoretical foundation of ontologies and ontological views. It presents a framework as a solution, based on the theoretical foundation, including the architecture of a Semantic Integration enabled environment, the modeling and representation of ontological views, and the Semantic equivalence relationship discovered from the ontological views.
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Semantic Integration in distributed multidisciplinary design optimization environments
Lecture Notes in Computer Science, 2005Co-Authors: Ying Daisy Wang, Weiming Shen, Hamada GhenniwaAbstract:New design optimization techniques and advanced computer technologies have laid the foundation for the emerging fields of distributed multidisciplinary design optimization (MDO). The challenge now faced by designers is to effectively use this vast amount of knowledge. There are many software tools available in each discipline. However, the key problem is how to integrate these tools and databases, which conform to different interfaces and requirements with little consideration to Integration and reusability, in a flexible and robust way. This paper proposes a novel ontology-based Semantic Integration framework for cooperative distributed MDO environments. The Semantic Integration aspect will provide the foundation for service-oriented architecture for distributed MDO environments. The cooperation aspect will focus on seamless Integration among autonomous MDO systems in dynamic open environments, using multi-agent paradigm.
Suiping Wang - One of the best experts on this subject based on the ideXlab platform.
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Semantic Integration declines independently of working memory in aging
Applied Psycholinguistics, 2019Co-Authors: Zude Zhu, Suiping Wang, Yiming YangAbstract:Semantic Integration and working memory both decline with age. However, it remains unclear whether the Semantic Integration decline is independent of working memory decline or whether it can be solely explained by the latter factor. In this event-related potentials experiment, 43 younger adults and 43 cognitively healthy older adults read Semantically congruent and incongruent sentences. After controlling for working memory, behavioral accuracy was significantly lower in the older adults than in the younger adults. In addition, the Semantic Integration related N400 effect (incongruent vs. congruent) for correct trials was apparent in the whole brain in the younger adults but restricted to the posterior region in the older adults. The results clarify the relationship between working memory and Semantic Integration, and clearly demonstrate that Semantic Integration decline is independent of working memory decline during aging.
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The role of the left prefrontal cortex in sentence-level Semantic Integration
NeuroImage, 2013Co-Authors: Zude Zhu, John X Zhang, Gangyi Feng, Suiping WangAbstract:Whether left inferior frontal gyrus (LIFG) activation during sentence comprehension reflects Semantic Integration or domain-general cognitive control remains unclear. To address this issue, 26 participants were presented with sentences word by word during fMRI scanning and were asked to perform two Semantic tasks, one explicit (Semantic congruency judgment) and one implicit (font size judgment). In the two language tasks, Semantic Integration load was parametrically manipulated with high cloze, low cloze and Semantically violated sentences. Participants also performed a classical Stroop task during scanning. Conjunction analysis of the explicit and implicit tasks revealed two regions in left inferior frontal gyrus associated with Semantic Integration load: one anterior region (aIFG) and one posterior region (pIFG). However, only the pIFG region was also activated during the Stroop task. These results indicate that different regions in the LIFG play different roles in Semantic Integration, with aIFG more important for domain-specific processing and pIFG more important for domain-general cognitive control.
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involvement of left inferior frontal gyrus in sentence level Semantic Integration
NeuroImage, 2009Co-Authors: John X Zhang, Zhuangwei Xiao, Suiping Wang, Jian Huang, Hsuan-chih ChenAbstract:Abstract Using event-related functional MRI, we examined the involvement of the left inferior frontal gyrus (LIFG) in Semantic Integration in reading Chinese sentences. During scanning, Chinese readers read individually presented sentences and judged whether or not a sentence was Semantically acceptable. Behaviorally, those sentences with a small degree of Semantic violation were found to be more difficult to reject relative to sentences with a large degree of Semantic violation, indicating that more Semantic Integration occurred in the former than in the latter condition. Direct contrast revealed significantly greater brain activity in the LIFG for sentences with a small violation, relative to those with a large violation, but no differences in any anterior temporal cortical areas between the two types of anomalous sentences. The results are in line with the idea that the LIFG plays a critical role in integrating individual word meanings to coherent sentence-level messages, but not with the idea that Semantic Integration depends on anterior temporal cortex in language comprehension.
Zude Zhu - One of the best experts on this subject based on the ideXlab platform.
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Semantic Integration declines independently of working memory in aging
Applied Psycholinguistics, 2019Co-Authors: Zude Zhu, Suiping Wang, Yiming YangAbstract:Semantic Integration and working memory both decline with age. However, it remains unclear whether the Semantic Integration decline is independent of working memory decline or whether it can be solely explained by the latter factor. In this event-related potentials experiment, 43 younger adults and 43 cognitively healthy older adults read Semantically congruent and incongruent sentences. After controlling for working memory, behavioral accuracy was significantly lower in the older adults than in the younger adults. In addition, the Semantic Integration related N400 effect (incongruent vs. congruent) for correct trials was apparent in the whole brain in the younger adults but restricted to the posterior region in the older adults. The results clarify the relationship between working memory and Semantic Integration, and clearly demonstrate that Semantic Integration decline is independent of working memory decline during aging.
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Age-related reduction of adaptive brain response during Semantic Integration is associated with gray matter reduction
PloS one, 2017Co-Authors: Zude Zhu, Fengjun Yang, Lianjun Zhou, Ying Liu, Ying Zhang, Xuezhi ChenAbstract:While aging is associated with increased knowledge, it is also associated with decreased Semantic Integration. To investigate brain activation changes during Semantic Integration, a sample of forty-eight 25-75 year-old adults read sentences with high cloze (HC) and low cloze (LC) probability while functional magnetic resonance imaging was conducted. Significant age-related reduction of cloze effect (LC vs. HC) was found in several regions, especially the left middle frontal gyrus (MFG) and right inferior frontal gyrus (IFG), which play an important role in Semantic Integration. Moreover, when accounting for global gray matter volume reduction, the age-cloze correlation in the left MFG and right IFG was absent. The results suggest that brain structural atrophy may disrupt brain response in aging brains, which then show less brain engagement in Semantic Integration.
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The role of the left prefrontal cortex in sentence-level Semantic Integration
NeuroImage, 2013Co-Authors: Zude Zhu, John X Zhang, Gangyi Feng, Suiping WangAbstract:Whether left inferior frontal gyrus (LIFG) activation during sentence comprehension reflects Semantic Integration or domain-general cognitive control remains unclear. To address this issue, 26 participants were presented with sentences word by word during fMRI scanning and were asked to perform two Semantic tasks, one explicit (Semantic congruency judgment) and one implicit (font size judgment). In the two language tasks, Semantic Integration load was parametrically manipulated with high cloze, low cloze and Semantically violated sentences. Participants also performed a classical Stroop task during scanning. Conjunction analysis of the explicit and implicit tasks revealed two regions in left inferior frontal gyrus associated with Semantic Integration load: one anterior region (aIFG) and one posterior region (pIFG). However, only the pIFG region was also activated during the Stroop task. These results indicate that different regions in the LIFG play different roles in Semantic Integration, with aIFG more important for domain-specific processing and pIFG more important for domain-general cognitive control.
Marjorie Parks - One of the best experts on this subject based on the ideXlab platform.
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Time course of word identification and Semantic Integration in spoken language
The Journal of the Acoustical Society of America, 2000Co-Authors: Cyma Van Petten, Elena Plante, Susan R Rubin, Marjorie Parks, Seana CoulsonAbstract:Human speech consists of a nearly continuous stream of auditory input, so that the Semantic message formed by combinations of words must be analyzed as the input continues. The minimum duration signal necessary to identify a set of words was established via the gating technique: Subjects were asked to identify (or guess) words after hearing only the initial 50, 100, or 150 ms, etc. Results showed that most words were identified before their acoustic offset: Average word duration was 600 ms, but identification accuracy was close to 90% after 350 ms of input. The isolation points established in the gating experiment were compared to the time course of Semantic Integration evident in event‐related brain potentials (ERPs). The gated words were used as congruous and incongruous sentence completions (in their full‐duration versions). Differential ERP responses to contextually appropriate and inappropriate words were observed by 200 ms after word onset, before the acoustic signal was sufficient to uniquely identify the words. These results indicate that Semantic Integration can begin to operate with only partial, incomplete information about word identity. If time allows, the talk will also describe similarities and differences between the Semantic processing of words and environmental sounds.
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time course of word identification and Semantic Integration in spoken language
Journal of Experimental Psychology: Learning Memory and Cognition, 1999Co-Authors: Cyma Van Petten, Seana Coulson, Susan R Rubin, Elena Plante, Marjorie ParksAbstract:: The minimum duration signal necessary to identify a set of spoken words was established by the gating technique; most words could be identified before their acoustic offset. Gated words were used as congruous and incongruous sentence completions, and isolation points established in the gating experiment were compared with the time course of Semantic Integration evident in event-related brain potentials. Differential N400 responses to contextually appropriate and inappropriate words were observed about 200 ms before the isolation point. Semantic processing was evident before the acoustic signal was sufficient to identify the words uniquely. Results indicate that Semantic Integration can begin to operate with only partial, incomplete information about word identity. Influences of Semantic constraint, word frequency, and rate of presentation are described.
