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A framework for semantic link discovery over relational data

Published: 02 November 2009 Publication History

Abstract

Discovering links between different data items in a single data source or across different data sources is a challenging problem faced by many information systems today. In particular, the recent Linking Open Data (LOD) community project has highlighted the paramount importance of establishing semantic links among web data sources. Currently, LOD sources provide billions of RDF triples, but only millions of links between data sources. Many of these data sources are published using tools that operate over relational data stored in a standard RDBMS. In this paper, we present a framework for discovery of semantic links from relational data. Our framework is based on declarative specification of linkage requirements by a user. We illustrate the use of our framework using several link discovery algorithms on a real world scenario. Our framework allows data publishers to easily find and publish high-quality links to other data sources, and therefore could significantly enhance the value of the data in the next generation of web.

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  • (2019)Ontology based Recommendation System for Domain Specific Seekers2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)10.1109/I-SMAC47947.2019.9032634(341-345)Online publication date: Dec-2019
  • (2019)The Link Regression Problem in Graph Streams2019 IEEE International Conference on Big Data (Big Data)10.1109/BigData47090.2019.9006225(1088-1095)Online publication date: Dec-2019
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cover image ACM Conferences
CIKM '09: Proceedings of the 18th ACM conference on Information and knowledge management
November 2009
2162 pages
ISBN:9781605585123
DOI:10.1145/1645953
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 02 November 2009

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Author Tags

  1. data management
  2. linked data
  3. record matching
  4. semantic link discovery

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Cited By

View all
  • (2021)Network metrics for assessing the quality of entity resolution between multiple datasetsSemantic Web10.3233/SW-20041012:1(21-40)Online publication date: 1-Jan-2021
  • (2019)Ontology based Recommendation System for Domain Specific Seekers2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)10.1109/I-SMAC47947.2019.9032634(341-345)Online publication date: Dec-2019
  • (2019)The Link Regression Problem in Graph Streams2019 IEEE International Conference on Big Data (Big Data)10.1109/BigData47090.2019.9006225(1088-1095)Online publication date: Dec-2019
  • (2019)CDI: Configurable Data Integration Using Property Precedence RelationsJournal on Data Semantics10.1007/s13740-019-00101-7Online publication date: 18-Feb-2019
  • (2018)Entity resolution framework using rough set blocking for heterogeneous web of dataJournal of Intelligent & Fuzzy Systems10.3233/JIFS-1794634:1(659-675)Online publication date: 12-Jan-2018
  • (2018)Open data integrationProceedings of the VLDB Endowment10.14778/3229863.324049111:12(2130-2139)Online publication date: 1-Aug-2018
  • (2018)Active instance matching with pairwise constraints and its application to Chinese knowledge base constructionKnowledge and Information Systems10.1007/s10115-017-1076-755:1(171-214)Online publication date: 1-Apr-2018
  • (2018)Network Metrics for Assessing the Quality of Entity Resolution Between Multiple DatasetsKnowledge Engineering and Knowledge Management10.1007/978-3-030-03667-6_10(147-162)Online publication date: 31-Oct-2018
  • (2017)Is my:sameAs the same as your:sameAs?Proceedings of the 9th Knowledge Capture Conference10.1145/3148011.3148029(1-8)Online publication date: 4-Dec-2017
  • (2016)A Declarative Framework for Linking EntitiesACM Transactions on Database Systems10.1145/289474841:3(1-38)Online publication date: 18-Jul-2016
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