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A novel heterogeneous data integration approach for p2p semantic link network
2004
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters - WWW Alt. '04
This paper proposes a novel approach to integrate heterogeneous data in P2P networks. ...
The approach includes a tool for building P2P semantic link networks, mechanisms for peer schema mapping, criteria for peer similarity degree measurement, and algorithms for heterogeneous data integration ...
We thank all the team members in China Knowledge Grid Research Group (http://kg.ict.ac.cn, http://www.knowledgegrid.net). ...
doi:10.1145/1013367.1013462
dblp:conf/www/ZhugeL04a
fatcat:ngk7mfob6nhwdeu2uj7p3hu2ui
A novel heterogeneous data integration approach for p2p semantic link network
2004
Alternate track papers & posters of the 13th international conference on World Wide Web - WWW Alt. '04
This paper proposes a novel approach to integrate heterogeneous data in P2P networks. ...
The approach includes a tool for building P2P semantic link networks, mechanisms for peer schema mapping, criteria for peer similarity degree measurement, and algorithms for heterogeneous data integration ...
We thank all the team members in China Knowledge Grid Research Group (http://kg.ict.ac.cn, http://www.knowledgegrid.net). ...
doi:10.1145/1010432.1010527
fatcat:jmwemz6hqjcvhetyrxmuwzucju
Resolution of Semantic Heterogeneity in Database Schema Integration Using Formal Ontologies
2005
Journal of Special Topics in Information Technology and Management
This paper addresses the problem of handling semantic heterogeneity during database schema integration. We focus on the semantics of terms used as identifiers in schema definitions. ...
This paper addresses the problem of handling semantic heterogeneity during database schema integration. We focus on the semantics of terms used as identifiers in schema definitions. ...
To that end, we rely on formal ontologies available for local schemas. Relating schema elements is performed based on semantic similarity relations. ...
doi:10.1007/s10799-004-7777-0
fatcat:fhod5qymorfgnetjl3g5egjss4
Searching databases for sematically-related schemas
2004
Proceedings of the 27th annual international conference on Research and development in information retrieval - SIGIR '04
In this paper, we address the problem of searching schema databases for semantically-related schemas. ...
We first give a method of finding semantic similarity between pair-wise schemas based on tokenization, part-of-speech tagging, word expansion, and ontology matching. ...
In this paper, we present an information retrieval technique for finding semantically related schemas in the database. ...
doi:10.1145/1008992.1009092
dblp:conf/sigir/ShahS04
fatcat:j76kojx2cbhdva5gtbe34ypcp4
An Algorithm for Inferring Big Data Objects Correlation Using Word Net
2016
Procedia Computer Science
This challenge is traditionally known as schema matching. Due to big data velocity traditional approaches to data matching can no longer be used. ...
In this paper we present an approach for inferring data objects correlation. We present our algorithm that relies on the objects meta-data and it consults the Word Net thesaurus ...
In a typical DB integration exercise, a DB schema integrator needs to locate DB schema objects that are relevant to the user information requirement. ...
doi:10.1016/j.procs.2016.04.258
fatcat:mcy7vgnitfhhpnmifkedrxgemy
Measuring Database Objects Relatedness in Peer-to-Peer Databases
2013
International Journal of Computer and Communication Engineering
In this paper we present our approach that measures the similarity of peer schema objects and ultimately depicts database management systems closeness in the overlay. ...
Identifying relationship between different peer schema objects is one of the main activities so semantically relevant peer database management systems can be acquainted and become close in the overlay. ...
In a typical DB integration exercise, a DB schema integrator needs to locate DB schema objects that are relevant to the user information requirement. ...
doi:10.7763/ijcce.2013.v2.190
fatcat:3pmu2rydkjhaxl7kpa6cr4o6sa
Semantic-Based Query Routing and Heterogeneous Data Integration in Peer-to-Peer Semantic Link Networks
[chapter]
2004
Lecture Notes in Computer Science
Second, it considers not only node but also structure in measuring the similarity between schemas so as to efficiently and accurately forward queries to relevant peers. ...
The proposed approach includes a tool for constructing and maintaining P2P semantic link networks, a semantic-based peer similarity measurement approach for efficient query routing, and peer schema mapping ...
The semantic-based peer similarity measurement for efficient query routing provides a way to measure the similarity between a set of closely related nodes in peer schemas. ...
doi:10.1007/978-3-540-30145-5_6
fatcat:n75cw3pe2vemladmic3qn6j5ra
Query Rewriting with Thesaurus-Based for Handling Semantic Heterogeneity in Database Integration
2020
Knowledge Engineering and Data Science
Funding statement This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. ...
Semantic diversity at the schema level is related to name conflicts caused by synonyms, hyponyms, hypernym, and polysemy. ...
In the process of integrating data sources, data can be derived from different places or applications. Hence, its heterogeneously potential in format, structure, syntax, and semantic [2] . ...
doi:10.17977/um018v3i12020p11-18
fatcat:dqkhvf735zaedmve5ksgqupcda
A survey on ontology mapping
2006
SIGMOD record
Ontology is increasingly seen as a key factor for enabling interoperability across heterogeneous systems and semantic web applications. ...
This paper presents ontology mapping categories, describes the characteristics of each category, compares these characteristics, and surveys tools, systems, and related work based on each category of ontology ...
in ontologies
Output
An integrated
global ontology
(GVV)
pairs of
related terms
between a
global and
local schema
Semantic
relation
between
concepts
A set of pairs
of similar
concepts ...
doi:10.1145/1168092.1168097
fatcat:we52fyqq2jbgtkfwzo3ybkaoeu
Global Schema Generation Using Formal Ontologies
[chapter]
2002
Lecture Notes in Computer Science
Semantic similarity relations between definitions in formal ontologies are defined and used for merging formal ontologies. ...
We show how similarity relations are discovered by a reasoning system using a higher level ontology. The result of the merging process is used for schema integration. ...
In order to find out whether elements from different schemas are related, we define similarity relations. ...
doi:10.1007/3-540-45816-6_31
fatcat:7dekbniwtbbbphuy6iqcpqgua4
Schema Matching and Integration for Data Sharing Among Collaborating Organizations
2009
Journal of Software
This paper addresses the problems and challenges related to schema matching and schema integration and introduces the Semi-Automatic Schema Matching and INTegration (SASMINT) system to automate these processes ...
Schema matching and schema integration are important components of the data sharing infrastructure in Collaborative Networks. ...
resolving naming, structural, and semantic conflicts and semi-automatically integrating relational database schemas [3] . ...
doi:10.4304/jsw.4.3.248-261
fatcat:jbhxi3pfsncopecbc2z4gwv6ni
Structural integration: Concepts and case study
1993
Journal of Systems Integration
Currently existing view and schema integration methodologies are based on semantic considerations. They allow integration only if two objects agree in their semantic and structural aspects. ...
When integrating the views of a large telecommunications application database at Bellcore, it was found that some pairs of view objects had significant structural similarities but differed semantically ...
The schema in Figure 2 is loosely based on concepts used in the SWITCIT ~ application modeled by Ashok Ingle. Mike Halper has proofread this article. ...
doi:10.1007/bf01974954
fatcat:ysfzgql5fzei7dvwezbmpukjny
Matching Schemas for Geographical Information Systems Using Semantic Information
[chapter]
2006
Lecture Notes in Computer Science
Schema matching analyzes and identifies similarities of two schemas, but all approaches can be only semi-automatic as human intervention is required to verify the result of a schema matching algorithm. ...
However, integrating data from various sources is a tedious task which requires the mapping of the involved schemas as a first step. ...
Then, an integrated schema is generated and mappings between the integrated schema and the source schemas are established. Other approaches focus on the semantic integration of geographic ontologies. ...
doi:10.1007/11915072_63
fatcat:alirpvawuna5pawtwucglqvrfy
XML-Based Data Exchange in the Heterogeneous Databases (XDEHD)
2015
International journal of Web & Semantic Technology
Thereafter, second, the technique matches and compares the subschemas and return the related candidate subschemas, semantic closeness function is implemented to measures the degree how similar the concepts ...
Databases interconnect with their content and schema but use different elements and structures to express the same concepts and relations, which may cause semantic and structural conflicts. ...
like to acknowledge the financial support provided by the Deanship of Scientific Research at Qassim University, under research project reference number (1932/1434), entitled, "XML-Based Data Exchange in ...
doi:10.5121/ijwest.2015.6302
fatcat:lxcz2chh3zdvracbydxmjahwrq
From bioinformatic web portals to semantically integrated Data Grid networks
2007
Future generations computer systems
We propose a semi-automated method for redeploying bioinformatic databases indexed in a Web portal as a decentralized, semantically integrated and service-oriented Data Grid. ...
Finally, we propose data models for redeploying all instances, schemas and schema mappings in the Data Grid, relying on standard Semantic Web technologies. ...
semantically similar attributes from another schema. ...
doi:10.1016/j.future.2006.03.002
fatcat:wurmyanqnzhwtemxk3alqne4w4
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