Reconciliation of temporal semantic heterogeneity in evolving information systems
The change in meaning of data over time poses significant challenges for the use of that data. These challenges exist in the use of an individual data source and are further compounded with the integration of multiple sources. In this paper, we identify three types of temporal semantic heterogeneity...
| Main Authors: | , |
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| Format: | Working Paper |
| Language: | en_US |
| Published: |
Massachusetts Institute of Technology. Engineering Systems Division
2016
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| Online Access: | http://hdl.handle.net/1721.1/102837 |
| _version_ | 1826215120396615680 |
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| author | Zhu, Hongwei Madnick, Stuart E. |
| author_facet | Zhu, Hongwei Madnick, Stuart E. |
| author_sort | Zhu, Hongwei |
| collection | MIT |
| description | The change in meaning of data over time poses significant challenges for the use of that data. These challenges exist in the use of an individual data source and are further compounded with the integration of multiple sources. In this paper, we identify three types of temporal semantic heterogeneity. We propose a solution based on extensions to the Context Interchange framework, which has mechanisms for capturing semantics using ontology and temporal context. It also provides a mediation service that automatically reconciles semantic conflicts. We show the feasibility of this approach with a prototype that implements a subset of the proposed extensions. |
| first_indexed | 2024-09-23T16:16:52Z |
| format | Working Paper |
| id | mit-1721.1/102837 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T16:16:52Z |
| publishDate | 2016 |
| publisher | Massachusetts Institute of Technology. Engineering Systems Division |
| record_format | dspace |
| spelling | mit-1721.1/1028372019-04-12T20:20:17Z Reconciliation of temporal semantic heterogeneity in evolving information systems Zhu, Hongwei Madnick, Stuart E. The change in meaning of data over time poses significant challenges for the use of that data. These challenges exist in the use of an individual data source and are further compounded with the integration of multiple sources. In this paper, we identify three types of temporal semantic heterogeneity. We propose a solution based on extensions to the Context Interchange framework, which has mechanisms for capturing semantics using ontology and temporal context. It also provides a mediation service that automatically reconciles semantic conflicts. We show the feasibility of this approach with a prototype that implements a subset of the proposed extensions. 2016-06-02T15:35:41Z 2016-06-02T15:35:41Z 2009-04 Working Paper http://hdl.handle.net/1721.1/102837 en_US ESD Working Papers;ESD-WP-2009-03 application/pdf Massachusetts Institute of Technology. Engineering Systems Division |
| spellingShingle | Zhu, Hongwei Madnick, Stuart E. Reconciliation of temporal semantic heterogeneity in evolving information systems |
| title | Reconciliation of temporal semantic heterogeneity in evolving information systems |
| title_full | Reconciliation of temporal semantic heterogeneity in evolving information systems |
| title_fullStr | Reconciliation of temporal semantic heterogeneity in evolving information systems |
| title_full_unstemmed | Reconciliation of temporal semantic heterogeneity in evolving information systems |
| title_short | Reconciliation of temporal semantic heterogeneity in evolving information systems |
| title_sort | reconciliation of temporal semantic heterogeneity in evolving information systems |
| url | http://hdl.handle.net/1721.1/102837 |
| work_keys_str_mv | AT zhuhongwei reconciliationoftemporalsemanticheterogeneityinevolvinginformationsystems AT madnickstuarte reconciliationoftemporalsemanticheterogeneityinevolvinginformationsystems |