Knowledge hypergraph-based approach for data integration and querying: Application to Earth Observation

Masmoudi, Maroua; Lamine, Sana Ben Abdallah Ben; Zghal, Hajer Baazaoui; Archimède, Bernard; Karray, Mohamed Hedi

doi:10.1016/j.future.2020.09.029

Cited by 24 publications

(6 citation statements)

References 13 publications

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“…Masmoudi et al proposed to proceed in two stages, namely, virtual data integration based on a knowledge hypergraph and query processing based on a hypergraph. e obtained results show that the proposal enhances query processing in terms of accuracy, completeness, and semantic richness of responses [4]. Mekala used the idea of ontology as a tool for data integration.…”

Section: Related Workmentioning

confidence: 91%

Data Integration Method Design of Decision Spatial Information System

2022

Security and Communication Networks

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With the development of technology, more and more enterprises have begun to use data integration analysis to make decisions. The decision spatial information system is an information system that provides decision support after analyzing and processing the spatial information. Data integration refers to a method of reasonably centralizing different or multisource data for data sharing, which can assist in decision management. This paper aims to study a more efficient data integration method for decision space information system. In this paper, an emergency information decision-making system for digital water network is designed, and a specific data integration algorithm is proposed. And the performance test of the early warning capability and power consumption of the system is carried out. The results show that the early warning time of the system designed in this paper is within 1 to 4 seconds, while the early warning time of the traditional system is within 1.5 seconds to 8 seconds. The power consumption of the system designed in this paper is not more than 25 W, while the traditional system power consumption is up to 50 W. The power consumption of the system in this paper is about half of the traditional system. Compared with the traditional system early warning capability, the system designed in this paper is significantly faster, the system power consumption is lower, and the system is more stable.

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Section: Related Workmentioning

confidence: 91%

Data Integration Method Design of Decision Spatial Information System

2022

Security and Communication Networks

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“…Recent studies 2 find that there is no mature federated GeoSPARQL query processing system. Recent work on data integration methods cites systems that collect and integrate distributed geospatial data into a single store as well dynamic federation of non-geospatial data sources, but also does not include systems that are both federated and support geospatial operations 17 .…”

Section: Related Workmentioning

confidence: 99%

A geospatial source selector for federated GeoSPARQL querying

Troumpoukis¹,

Konstantopoulos²,

Prokopaki-Kostopoulou³

2022

Open Res Europe

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Background: Geospatial linked data brings into the scope of the Semantic Web and its technologies, a wealth of datasets that combine semantically-rich descriptions of resources with their geo-location. There are, however, various Semantic Web technologies where technical work is needed in order to achieve the full integration of geospatial data, and federated query processing is one of these technologies. Methods: In this paper, we explore the idea of annotating data sources with a bounding polygon that summarizes the spatial extent of the resources in each data source, and of using such a summary as an (additional) source selection criterion in order to reduce the set of sources that will be tested as potentially holding relevant data. We present our source selection method, and we discuss its correctness and implementation. Results: We evaluate the proposed source selection using three different types of summaries with different degrees of accuracy, against not using geospatial summaries. We use datasets and queries from a practical use case that combines crop-type data with water availability data for food security. The experimental results suggest that more complex summaries lead to slower source selection times, but also to more precise exclusion of unneeded sources. Moreover, we observe the source selection runtime is (partially or fully) recovered by shorter planning and execution runtimes. As a result, the federated sources are not burdened by pointless querying from the federation engine. Conclusions: The evaluation draws on data and queries from the agroenvironmental domain and shows that our source selection method substantially improves the effectiveness of federated GeoSPARQL query processing.

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“…Paradigm of graph theory has been used in different ways and suggested in several works [89]. Different types of graphs have been used that can be in form of a tree for XML schemas [90], directed graph for ontology schemas [91] or knowledge graphs for knowledge representation [92][93][94] or linguistic models [95,96].…”

Section: Overview Of Schema Matching Principles and Techniquesmentioning

confidence: 99%

A general approach for of schema matching problem: case of databases

Labreche

Lorca

Montarnal

et al. 2022

Preprint

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The problem of schema matching is one of the main tasks in several processes dealing with databases, data transformation and data integration. Schema matching involves the generation and linking of heterogeneous schemas. This heterogeneity makes the implementation of a solution difficult and the sources of heterogeneity are multiple. The need for a methodology that can adapt to the largest number of points of variation is necessary. In this paper, we propose a flexible, global and generic approach to meet this need where the main idea is to exploit as much information available in the schemas and this through the implementation of federated interoperability that allows the interpretation of information on the fly. To this end, the approach uses graph theory, more specifically hypergraphs and optimization models for the modelling of schemas and the automation of the solution of the schema matching problem by converting it into a graph matching problem. Our contributions include the proposal of an optimization model to add specific constraints to the schema matching problem, as well as the propagation algorithms to propagate the matching relationships between the source and target schemas. The approach is finally evaluated on two use cases, one academic and one industrial.

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Knowledge hypergraph-based approach for data integration and querying: Application to Earth Observation

Cited by 24 publications

References 13 publications

Data Integration Method Design of Decision Spatial Information System

Data Integration Method Design of Decision Spatial Information System

A geospatial source selector for federated GeoSPARQL querying

A general approach for of schema matching problem: case of databases

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