Ontology Management and Ontology Reuse in Web Environment

ABSTRACT We use the Separate Universe technique to calibrate the dependence of linear and quadratic halo bias b1 and b2 on the local cosmic web environment of dark matter haloes. We do this by measuring the response of halo abundances at fixed mass and cosmic web tidal anisotropy α to an infinite wavelength initial perturbation. We augment our measurements with an analytical framework developed in earlier work that exploits the near-lognormal shape of the distribution of α and results in very high precision calibrations. We present convenient fitting functions for the dependence of b1 and b2 on α over a wide range of halo mass for redshifts 0 ≤ z ≤ 1. Our calibration of b2(α) is the first demonstration to date of the dependence of non-linear bias on the local web environment. Motivated by previous results that showed that α is the primary indicator of halo assembly bias for a number of halo properties beyond halo mass, we then extend our analytical framework to accommodate the dependence of b1 and b2 on any such secondary property that has, or can be monotonically transformed to have, a Gaussian distribution. We demonstrate this technique for the specific case of halo concentration, finding good agreement with previous results. Our calibrations will be useful for a variety of halo model analyses focusing on galaxy assembly bias, as well as analytical forecasts of the potential for using α as a segregating variable in multitracer analyses.

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3D Strata Visualization in Web Environment – Review

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/767/1/012040 ◽

2021 ◽

Vol 767 (1) ◽

pp. 012040

Author(s):

Faraliyana Mohd Hanafi ◽

Muhammad Imzan Hassan

Keyword(s):

Web Environment

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VULNERABILITY ASSESSMENT IN HETEROGENEOUS WEB ENVIRONMENT USING PROBABILISTIC ARITHMETIC AUTOMATA

IEEE Access ◽

10.1109/access.2021.3081567 ◽

2021 ◽

pp. 1-1

Author(s):

A. Moshika ◽

M. Thirumaran ◽

N. Balaji ◽

K. Andal ◽

G. Sambasivam ◽

...

Keyword(s):

Vulnerability Assessment ◽

Web Environment

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A challenge for historical research: Making data FAIR using a collaborative ontology management environment (OntoME)

Semantic Web ◽

10.3233/sw-200416 ◽

2020 ◽

pp. 1-16

Author(s):

Francesco Beretta

Keyword(s):

Semantic Analysis ◽

Historical Research ◽

Data Modelling ◽

Fine Grained ◽

Fair Principles ◽

Active Research ◽

New Research ◽

High Level ◽

Conceptual Data ◽

Ontology Management

This paper addresses the issue of interoperability of data generated by historical research and heritage institutions in order to make them re-usable for new research agendas according to the FAIR principles. After introducing the symogih.org project’s ontology, it proposes a description of the essential aspects of the process of historical knowledge production. It then develops an epistemological and semantic analysis of conceptual data modelling applied to factual historical information, based on the foundational ontologies Constructive Descriptions and Situations and DOLCE, and discusses the reasons for adopting the CIDOC CRM as a core ontology for the field of historical research, but extending it with some relevant, missing high-level classes. Finally, it shows how collaborative data modelling carried out in the ontology management environment OntoME makes it possible to elaborate a communal fine-grained and adaptive ontology of the domain, provided an active research community engages in this process. With this in mind, the Data for history consortium was founded in 2017 and promotes the adoption of a shared conceptualization in the field of historical research.

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