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Intelligent query processing for semantic mediation of information systems
2011
Egyptian Informatics Journal
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The algorithm is self-adapted to the changes of the environment, offers a wide aptitude and solves the various data conflicts in a dynamic way; it also reformulates the query using the schema mediation ...
Our approach focuses on the exploitation of intelligent agents for query reformulation and the use of a new technology for the semantic representation. ...
In [25] , the authors propose a multi-agent system to achieve semantic interoperability and to resolve semantic conflicts related to evolutive ontologies domain. ...
doi:10.1016/j.eij.2011.06.003
fatcat:4judpegnrbclbpbq3z77y74j4m
DOGMA-MESS: A Tool for Fact-Oriented Collaborative Ontology Evolution
[chapter]
2008
Lecture Notes in Computer Science
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Fact-oriented and layered approaches such as DOGMA have been successful in facilitating domain experts in representing and understanding semantically stable ontologies, while emphasising reusability and ...
In this paper we extend DOGMA Studio with a set of collaborative ontology evolution support modules. ...
This allows the DE in finding related conflicts that caused this particular conflict, and how it could be solved. Conflicts can be sorted based on conflict id, type, or cause. ...
doi:10.1007/978-3-540-88875-8_104
fatcat:p4qiqq33dreu5pi2a7cuahwqxu
Dealing with Inconsistencies in DL-Lite Ontologies
[chapter]
2009
Lecture Notes in Computer Science
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The Research Problem As a shared conceptualization of a particular domain, ontologies play an important role for the success of the Semantic Web. ...
Inconsistency can occur due to several reasons, such as modeling errors, migration or merging ontologies, and ontology evolution. So it is essential to study how to deal with inconsistent ontologies. ...
By computing preferred models of K with any domain, we find that the conflict sets obtained in any preferred model with respect to different domains are the same and assertions in conflict sets are all ...
doi:10.1007/978-3-642-02121-3_89
fatcat:p5zx6me7wvcfnc3t7juvfhahzm
Ontology Evolution: A Survey and Future Challenges
[chapter]
2009
Communications in Computer and Information Science
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Information semantics and semantic interoperability among applications, systems, and services are mostly based on ontology. ...
Changes are made to the body of knowledge as experts develop a better understanding of the domain. As a result, the body of knowledge evolves from one state to another. ...
To make this possible, we need to carefully model the domain knowledge while preserving its semantics [4, 5] . ...
doi:10.1007/978-3-642-10580-7_11
fatcat:2sabu4fopvdyrjqiipwb2nbadu
Steam turbine diagnostic system based on a domain ontology implemented using J2EE technology
2009
2009 3rd International Conference on Signals, Circuits and Systems (SCS)
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An expert system JESS (Java Expert System Shell) is integrated with the ontology. Knowledge inference is then possible to solve maintenance cases by given adequate diagnoses to given symptoms. ...
The second aspect of the paper focuses on the possible enhancement and evolution of the developed ontology in order to take into account new maintenance cases. ...
as well as to solves syntaxes and semantic heterogeneity of integrated systems, improving data exchange between them. ...
doi:10.1109/icscs.2009.5412694
fatcat:52t66sx4ojgfdbxcc4d5w6p5u4
Heterogeneous Data Management on Environmental Sensors Using Ontology Mapping
2013
Lecture Notes on Information Theory
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In this research syntactic, structural, data and semantic heterogeneities between information systems is considered and a novel ontology mapping technique is developed to resolve semantic heterogeneity ...
achieving semantic interoperability between ontologies. ...
Due to an increased awareness of ontology [3] applications and the availability of multiple ontologies over same domain leads to semantic heterogeneities between ontologies. ...
doi:10.12720/lnit.1.4.154-158
fatcat:kqztnmacfjarzl7kohpwaofyqi
From the knowledge acquisition bottleneck to the knowledge acquisition overflow: A brief French history of knowledge acquisition
2013
International Journal of Human-Computer Studies
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As a consequence of the huge amount of available data in the web, a paradigm shift occurred in the domain, from knowledge-intensive problem solving to large-scale data acquisition and management. ...
In particular, it reports the most significant steps in the parallel evolution of the web and the knowledge acquisition paradigm, which finally converged with the project of a semantic web. ...
We contrast the evolution of KA with the parallel evolution of the Web and indeed, in the last 10 years, knowledge engineering as a research domain and the Web have converged in particular in the Semantic ...
doi:10.1016/j.ijhcs.2012.10.009
fatcat:gkwaq2sevrd47kc3kvwaeix4pq
Knowledge acquisition environment for the design of a decision support system: application in blood transfusion
1999
Proceedings. AMIA Symposium
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The methodology used could be applied to another highly evolutive medical domain. ...
Blood transfusion is a medical domain where decision support systems (DSSs) could be very helpful to the physicians but must easily and continuously be maintained. ...
During domain knowledge acquisition, some conflicts may appear between rules that currently should be solved by the domain expert. ...
pmid:10566346
pmcid:PMC2232817
fatcat:f5jumqoqvza4lbzdzywza3yi5m
Application of The Semantic Annotation Technology Based on Ontology
2015
International Journal of Multimedia and Ubiquitous Engineering
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To resolve the semantic conflicts in the process of data exchange, the ontology is made full use to describe the characteristics of the relation between concept, adding semantics to XML Schema. ...
In the field of railway, there exist some semantic conflict in the data exchange, by the Ontology OWL fragment extracted from the experiment, semantic conflict will be reduced and even eliminated. ...
A semantic conflict resolution scheme is proposed, it adopt semantic mapping from relational schema to XML schema and the introduction of ontology mapping file to solve the problems of semantic annotation ...
doi:10.14257/ijmue.2015.10.3.35
fatcat:dic2cjcqnraklmtn67p2yyw5py
A Versioning Management Model for Ontology-Based Data Warehouses
[chapter]
2006
Lecture Notes in Computer Science
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More and more integration systems use ontologies to solve the problem of semantic heterogeneities between autonomous databases. ...
To automate the integration process, a number of these systems suppose the existence of a shared domain ontology a priori referenced by the local ontologies embedded in the various sources. ...
is solved thanks to the single semantic identification (value of the semantic key) of each instance of data, 2. the problem of the updating process of table schemata is solved through the use of universal ...
doi:10.1007/11823728_19
fatcat:voitxlkzrfgxvk7etvkkx2o54q
Semantic conflict resolution ontology (SCROL): an ontology for detecting and resolving data and schema-level semantic conflicts
2004
IEEE Transactions on Knowledge and Data Engineering
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We propose a common ontology called Semantic Conflict Resolution Ontology (SCROL) that addresses the inherent difficulties in the conventional approaches, i.e., federated schema and domain ontology approaches ...
In addition, we present evaluation results to show that SCROL can be successfully used to automate the process of identifying and resolving semantic conflicts. ...
Jinsoo Park was partially supported by a grant from the SK Fund to the College of Business Administration, Korea University. ...
doi:10.1109/tkde.2004.1269597
fatcat:fx3oymy3c5dibjwkb6yfh2o4zm
Reconciling Practice and Rigour in Ontology-Based Heterogeneous Information Systems Construction
[chapter]
2018
Lecture Notes in Business Information Processing
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The method proposes the use of data models describing the semantics of existing assets; their analysis in order to find commonalities and misalignments; the definition of the domain ontology, considering ...
Ontology integration addresses the problem of reconciling into one single semantic framework different knowledge chunks defined according to its own ontology. ...
and their goal for evolution. • Similarly, schematic and semantic heterogeneities are solved by expert criteria. ...
doi:10.1007/978-3-030-02302-7_13
fatcat:vdl5e3r7obfvdajlughqmbourq
Semantic annotation
2012
Proceedings of the fifth workshop on Exploiting semantic annotations in information retrieval - ESAIR '12
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Considering the properties of the annotation process and result, we provide an overview of the main issues related to the semantic annotation of Web Services and our first clues to tackle this relevant ...
This paper outlines an ongoing research focused on the quality analysis of semantic annotation towards better Web Services management. ...
For example, how to optimize the ontology and an annotated model? How to solve the inconsistency or conflicts during the mapping? etc. ...
doi:10.1145/2390148.2390156
dblp:conf/cikm/SellamiR12
fatcat:jscbz7j6azcofnjmvu65uaf25y
BIO-INSPIRED COMPUTING VIA ONTOLOGY TO ENHANCE TAKING A DECISION ON HETEROGENEOUS DATA
2019
Al-Azhar Bulletin of Science
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The adaptation is by Ontology to help the communication decision support system. The method adapts mutation as a somatic mutation. ...
So, this paper proposed a semantic enhancement on the genotype/phenotype system. That is for a communication decision support system based on the Ontology decision support system framework ODSS. ...
Then solving the semantic redundancy from merged Ontology to generate the universal Ontology data warehouse UODW. ...
doi:10.21608/absb.2019.86748
fatcat:rawdibs6wjdg5mmbrlis6kvqam
Enhancing Service Discovery via Multi-Ontology Management and Annotation
2012
Advanced Engineering Forum
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Ontology, which adds semantic information to services, is an effective tool to automatize service discovery and composition. ...
However, even in a same domain, different domain experts or users can conceptualize the same real world entities in different views which will lead to multiple domain ontologies. ...
Therefore, Ontology is usually used to add semantic information to solve this problem [2] . ...
doi:10.4028/www.scientific.net/aef.4.208
fatcat:m2iw3miy7jgqfo6hcz2lopjx5q
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