Data Enrichment | ScienceGate

Presented in this paper is a possible solution for speeding up the integration of various data in the big data mainstream. The data enrichment and convergence of all possible sources is still at the beginning. As a result, existing techniques must be retooled in order to increase the integration of already existing databases or of the ones specific to Internet of Things in order to use the advantages of the big data to fulfill the final goal of web of data creation. In this paper, semantic web-specific solutions are used to design a system based on intelligent agents. It tries to solve some problems specific to automation of the database migration system with the final goal of creating a common ontology over various data repositories or producers in order to integrate them into systems based on big data architecture.

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Evaluating Elements of Web-Based Data Enrichment for Pseudo-relevance Feedback Retrieval

10.1007/978-3-030-85251-1_5 ◽

2021 ◽

pp. 53-64

Author(s):

Timo Breuer ◽

Melanie Pest ◽

Philipp Schaer

Keyword(s):

Relevance Feedback ◽

Web Based ◽

Data Enrichment ◽

Pseudo Relevance Feedback

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Using Meta-analysis for Data Enrichment-optimal Families of Estimation Strategies

Journal of Applied Sciences ◽

10.3923/jas.2005.1575.1581 ◽

2005 ◽

Vol 5 (9) ◽

pp. 1575-1581

Author(s):

Ashok Sahai ◽

M. Mahibbur Rahman . ◽

Rameshwar P. Jaju .

Keyword(s):

Meta Analysis ◽

Data Enrichment

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SmPFT: Social media based profile fusion technique for data enrichment

Computer Networks ◽

10.1016/j.comnet.2019.04.015 ◽

2019 ◽

Vol 158 ◽

pp. 123-131 ◽

Cited By ~ 2

Author(s):

Amit Agarwal ◽

Durga Toshniwal

Keyword(s):

Social Media ◽

Fusion Technique ◽

Data Enrichment

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Ontology-based analysis of the large collection of historical Hebrew manuscripts

Digital Scholarship in the Humanities ◽

10.1093/llc/fqz058 ◽

2019 ◽

Author(s):

Maayan Zhitomirsky-Geffet ◽

Gila Prebor ◽

Isaac Miller

Keyword(s):

Quantitative Analysis ◽

Large Scale ◽

Scale Analysis ◽

Large Collection ◽

Data Enrichment ◽

Large Scale Analysis ◽

The World ◽

Library Catalogue ◽

Event Based ◽

New Framework

Abstract In this paper, we present a new semi-automatic methodology for construction of event-based ontology from the library catalogue of the largest collection in the world of metadata records of historical Hebrew manuscripts. Based on the constructed ontology, we developed and implemented a new framework for catalogue data enrichment, correction, and its systematic quantitative analysis. Finally, we demonstrate the results of the proposed large-scale analysis of three most prominent event types in the corpus, as well as a few cross-event relations and trends.

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