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Статті в журналах з теми "Model of provenance"

Автор: Grafiati

Опубліковано: 10 грудня 2022

Оновлено: 19 липня 2025

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1

Stojnić, Srđan, S. Orlović, D. Ballian, et al. "Provenance by site interaction and stability analysis of European beech (Fagus sylvatica L.) provenances grown in common garden experiments." Silvae Genetica 64, no. 1-6 (2015): 133–47. http://dx.doi.org/10.1515/sg-2015-0013.

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AbstractFifteen provenances of European beech (Fagus sylvatica L.) were evaluated for stability and adaptability by height growth at four test sites in Bosnia and Herzegovina (1), Croatia (1) and Serbia (2). Provenance trials were established in spring 2007 by planting 2- and 3-yearold seedlings and arranged in a randomized complete block design. The data from seven 6- year-old and eight 5-year-old provenances were obtained in 2009 and analyzed separately. Finlay and Wilkinson’s regression analysis and Additive main effects and multiplicative interaction model (AMMI model) were used to assess

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2

Szaban, Jarosław, Tomasz Jelonek, Alicja Okińczyc, and Wojciech Kowalkowski. "Results of a 57-Year-Long Research on Variability of Wood Density of the Scots Pine (Pinus sylvestris L.) from Different Provenances in Poland." Forests 14, no. 3 (2023): 480. http://dx.doi.org/10.3390/f14030480.

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This research was conducted in the forests of Poland between 2019 and 2022. The aim was to study Scots pine provenances and compare the wood density variability among the various provenances growing on one experimental plot (in situ). The experiment was established in 1962 in the Zielonka Forest Division, Potasze Forest District. In 2019, five model trees from each provenance, which grew on the experimental plot, were chosen. In total, 40 trees were cut down, from which samples were collected in order to determine their wood density variability. The results indicate significant differences amo

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3

Lavadinovic, Vera, Ljubinko Rakonjac, Danijela Djunisijevic-Bojovic, Zoran Miletic, and Filip Jovanovic. "Variability of potassium concentration in the needles of Douglas-fir provenances." Bulletin of the Faculty of Forestry, no. 120 (2019): 97–116. http://dx.doi.org/10.2298/gsf1920097l.

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Douglas-fir is one of the most common conifer species in the forest plantations of Europe. The provenance test model is based on the analysis of the properties (growth, anatomical, physiological, chemical, mechanical and other properties) of Douglas-fir in order to justify the transfer of seeds from North America to the ecosystems of Serbia. This type of program has been implemented in Serbia on several locations using different Douglas-fir provenances. Given that the analysis of different physiological properties of trees is important for the introduction of specified provenances into habitat

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4

Funda, T., M. Lstibůrek, J. Klápště, I. Permedlová, and J. Kobliha. "Addressing spatial variability in provenance experiments exemplified in two trials with black spruce." Journal of Forest Science 53, No. 2 (2008): 47–56. http://dx.doi.org/10.17221/2135-jfs.

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Two exemplary black spruce (<i>Picea mariana</i> [Mill.] B.S.P.) provenance trials were analyzed using traditional and spatial techniques. The objective was to find out possible differences between these approaches in terms of both the resulting fit-statistics and the estimated mean heights of provenances. Further, the spatial model was consequently adjusted to treat global and extraneous sources of variation. As expected, models incorporating spatial variation provided a better fit to the data. Consequently, there was also a noticeable shift in ranking of individual provenances, w

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5

Can, Ozgu, and Dilek Yilmazer. "A novel approach to provenance management for privacy preservation." Journal of Information Science 46, no. 2 (2019): 147–60. http://dx.doi.org/10.1177/0165551519827882.

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Provenance determines the origin of the data by tracing and recording the actions that are performed on the data. Therefore, provenance is used in many fields to ensure the reliability and quality of data. In this work, provenance information is used to meet the security needs in information systems. For this purpose, a domain-independent provenance model is proposed. The proposed provenance model is based on the Open Provenance Model and Semantic Web technologies. The goal of the proposed provenance model is to integrate the provenance and security concepts in order to detect privacy violatio

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6

Wang, Jing, Youbin He, Hua Li, et al. "Synergistic Detrital Zircon U-Pb and REE Analysis for Provenance Discrimination of the Beach-Bar System in the Oligocene Dongying Formation, HHK Depression, Bohai Bay Basin, China." Journal of Marine Science and Engineering 13, no. 7 (2025): 1331. https://doi.org/10.3390/jmse13071331.

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The Oligocene Dongying Formation beach-bar system, widely distributed in the HHK Depression of the Bohai Bay Basin, constitutes a key target for mid-deep hydrocarbon exploration, though its provenance remains controversial due to complex peripheral source terrains. To address this, we developed an integrated methodology combining LA-ICP-MS zircon U-Pb dating with whole-rock rare earth element (REE) analysis, facilitating provenance studies in areas with limited drilling and heavy mineral data. Analysis of 849 high-concordance zircons (concordance >90%) from 12 samples across 5 wells reveale

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7

Sultana, Salmin, and Elisa Bertino. "A Distributed System for The Management of Fine-grained Provenance." Journal of Database Management 26, no. 2 (2015): 32–47. http://dx.doi.org/10.4018/jdm.2015040103.

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Existing provenance systems operate at a single layer of abstraction (workflow/process/OS) at which they record and store provenance. However, the provenance captured from different layers provides the highest benefit when integrated through a unified provenance framework. To build such a framework, a comprehensive provenance model able to represent the provenance of data objects with various semantics and granularity is the first step. In this paper, the authors propose a provenance model able to represent the provenance of any data object captured at any abstraction layer and present an abst

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8

Kim, In-Sik, Hae-Yun Kwon, Keun-Ok Ryu, and Wan Yong Choi. "Provenance by Site Interaction of Pinus densiflora in Korea." Silvae Genetica 57, no. 1-6 (2008): 131–39. http://dx.doi.org/10.1515/sg-2008-0020.

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Abstract Thirty-six provenances of Pinus densiflora were evaluated for stability and adaptability for height growth at 11 test sites in Korea. The data were obtained from measurements at age 6 and analyzed using linear regression model and AMMI (additive main effect and multiplicative interaction) model. There was significant provenance by site interaction effect (p < 0.011). The interaction term explained 7.1% of total variation. While the regression model accounted for 15.8% of GxE interaction term, the AMMI model accounted for 74.9% with four PCA values. Most of the provenances were not

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9

Li, Chunqiu, and Shigeo Sugimoto. "Provenance description of metadata application profiles for long-term maintenance of metadata schemas." Journal of Documentation 74, no. 1 (2018): 36–61. http://dx.doi.org/10.1108/jd-03-2017-0042.

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Purpose Provenance information is crucial for consistent maintenance of metadata schemas over time. The purpose of this paper is to propose a provenance model named DSP-PROV to keep track of structural changes of metadata schemas. Design/methodology/approach The DSP-PROV model is developed through applying the general provenance description standard PROV of the World Wide Web Consortium to the Dublin Core Application Profile. Metadata Application Profile of Digital Public Library of America is selected as a case study to apply the DSP-PROV model. Finally, this paper evaluates the proposed mode

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10

Jovanović, Filip, Vera Lavadinović, Ljubinko Rakonjac, Snežana Stajić, and Zoran Miletić. "Variability of potassium content in the needles of Douglas-fir provenances of Canadian origin." Sustainable Forestry: Collection, no. 81-82 (2020): 29–39. http://dx.doi.org/10.5937/sustfor2081029j.

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The provenance test model is based on the analysis of growth, anatomical, physiological, chemical, mechanical, and other properties of an allochthonous species to justify its transfer from the place of origin to new ecosystems. Douglas-fir is one of the most common allochthonous conifer species in the forest plantations of Europe. Given that the analysis of different physiological properties of trees is important for the introduction of specified provenances into new habitats, this paper presents the results of an investigation of the variability of potassium content in young Douglas-fir needl

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11

O’Neill, Gregory A., Gordon Nigh, Tongli Wang, and Peter K. Ott. "Growth response functions improved by accounting for nonclimatic site effects." Canadian Journal of Forest Research 37, no. 12 (2007): 2724–30. http://dx.doi.org/10.1139/x07-100.

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Growth response functions (GRFs) that relate the growth of a population to the climate of the sites in which it is tested are gaining attention for their ability to predict impacts of climate change on tree growth. However, nonclimatic site to site variation introduces error into GRFs. Using data from a large lodgepole pine ( Pinus contorta Dougl. ex Loud.) provenance test in British Columbia and the Yukon, Canada, a technique is presented that accounts for the effect of nonclimatic variation in GRFs. The mean height of the “local” provenances at each test site was used to predict “site height

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12

Chuine, Isabelle, Gerald E. Rehfeldt, and Sally N. Aitken. "Height growth determinants and adaptation to temperature in pines: a case study of Pinus contorta and Pinus monticola." Canadian Journal of Forest Research 36, no. 5 (2006): 1059–66. http://dx.doi.org/10.1139/x06-005.

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In this study we aimed to compare and explain the height growth performance of two contrasting pine species: lodgepole pine (Pinus contorta Dougl. ex. Loud) and western white pine(Pinus monticola Dougl. ex D. Don.). We compiled measurements of total height growth at different ages and shoot elongation phenology realized in several provenance test trials for 109 provenances of lodgepole pine and 54 provenances of western white pine. The response of shoot elongation to temperature was assessed using a phenological model fitted on provenance mean growth curves. Although total height growth follow

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13

Tannen, Val. "Provenance analysis for FOL model checking." ACM SIGLOG News 4, no. 1 (2017): 24–36. http://dx.doi.org/10.1145/3051528.3051533.

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14

Al-Fedaghi, Sabah. "Flow-Based Provenance." Informing Science: The International Journal of an Emerging Transdiscipline 20 (2017): 019–36. http://dx.doi.org/10.28945/3665.

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Aim/Purpose: With information almost effortlessly created and spontaneously available, current progress in Information and Communication Technology (ICT) has led to the complication that information must be scrutinized for trustworthiness and provenance. Information systems must become provenance-aware to be satisfactory in accountability, reproducibility, and trustworthiness of data. Background: Multiple models for abstract representation of provenance have been proposed to describe entities, people, and activities involved in producing a piece of data, including the Open Provenance Model (OP

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15

Li, Chunqiu, and Shigeo Sugimoto. "Provenance Description of Metadata Vocabularies for the Long-term Maintenance of Metadata." Journal of Data and Information Science 2, no. 2 (2017): 41–55. http://dx.doi.org/10.1515/jdis-2017-0007.

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Abstract Purpose The purpose of this paper is to discuss provenance description of metadata terms and metadata vocabularies as a set of metadata terms. Provenance is crucial information to keep track of changes of metadata terms and metadata vocabularies for their consistent maintenance. Design/methodology/approach The W3C PROV standard for general provenance description and Resource Description Framework (RDF) are adopted as the base models to formally define provenance description for metadata vocabularies. Findings This paper defines a few primitive change types of metadata terms, and a pro

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16

Engel, Markus, Tobias Mette, Wolfgang Falk, Werner Poschenrieder, Jonas Fridman, and Mitja Skudnik. "Modelling Dominant Tree Heights of Fagus sylvatica L. Using Function-on-Scalar Regression Based on Forest Inventory Data." Forests 14, no. 2 (2023): 304. http://dx.doi.org/10.3390/f14020304.

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European beech (Fagus sylvatica L.) is an important tree species throughout Europe but shifts in its suitable habitats are expected in the future due to climate change. Finding provenances that are still economically viable and ecologically resilient is an ongoing field of research. We modelled the dominant tree heights of European beech as a trait reflecting growth performance dependent on provenance, climate and soil conditions. We derived dominant tree heights from national forest inventory (NFI) data from six European countries spanning over large ecological gradients. We performed functio

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17

Tang, Deyou, Rong Zhao, Yuebang Lin, Tangqing Zhang, and Pingjian Zhang. "Modeling the Data Provenance of Relational Databases Supporting Full-Featured SQL and Procedural Languages." Applied Sciences 13, no. 1 (2022): 64. http://dx.doi.org/10.3390/app13010064.

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Data provenance is information about where data come from (provenance data) and how they transform (provenance transformation). Data provenance is widely used to evaluate data quality, trace errors, audit data, and understand references among data. Current studies on data provenance in relational database management systems (RDBMS) still have limitations in supporting full-featured SQL or procedural languages. With these challenges in mind, we present a formal definition of provenance data and provenance transformation for relational data. Then, we propose a solution to support data provenance

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18

Ribeiro dos Santos, Renata, Marilde Terezinha Prado Santos, and Ricardo Rodrigues Ciferri. "ProvOER model: A provenance model for Open Educational Resources." Heliyon 9, no. 2 (2023): e13311. http://dx.doi.org/10.1016/j.heliyon.2023.e13311.

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19

Liu, Jun, and Sudha Ram. "Improving the Domain Independence of Data Provenance Ontologies." Journal of Database Management 28, no. 1 (2017): 43–62. http://dx.doi.org/10.4018/jdm.2017010104.

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Provenance is becoming increasingly important as more and more people are using data that they themselves did not generate. In the last decade, significant efforts have been directed toward developing generic, shared data provenance ontologies that support the interoperability of provenance across systems. An issue that is impeding the use of such provenance ontologies is that a generic provenance ontology, no matter how complete it is, is insufficient for capturing the diverse, complex provenance requirements in different domains. In this paper, the authors propose a novel approach to adaptin

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20

Wang, Feng Ying, and Xiu Mei Li. "Research on Confidentiality about Provenance Based on Logical Key Hierarchy." Advanced Materials Research 219-220 (March 2011): 1664–69. http://dx.doi.org/10.4028/www.scientific.net/amr.219-220.1664.

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By analysing the security needs and the threat model of data provenance, a Key distribution algorithm based on Logical Key Hierarchy(LKH) is brought forward aiming at the confidentiality of provenance. In this paper, we make use of the LKH tree to reduce the storage of the keys for session encryption keys(SEK) of provenance records and decrease the transmission overhead of the provenance chains, which meet the requirement of compressing provenance chains, and then propose the method of dynamic expansion number of auditors that works out the problem of the auditors number dynamic changes existi

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21

Huang, Li, and Hong Bing Cheng. "Query Optimization Based on Data Provenance." Advanced Materials Research 186 (January 2011): 586–90. http://dx.doi.org/10.4028/www.scientific.net/amr.186.586.

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Data Provenance is a key of evaluating authority and uncertainty in data query. Query process technology based on data provenance overcomes the shortcomings of traditional data integration on query quality and efficiency. This paper constructs a data model of heterogeneous data sources provenance, i.e. Semiring Provenance, based on tracing provenance of data origination and evolution. It’s proved to be effective in creating mapping between heterogeneous schemas and optimizing query quality and authority evaluation. Experiments using real data set show that our approach provides an effective an

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22

Chen-Chieh Feng. "Mapping Geospatial Metadata to Open Provenance Model." IEEE Transactions on Geoscience and Remote Sensing 51, no. 11 (2013): 5073–81. http://dx.doi.org/10.1109/tgrs.2013.2252181.

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23

Ciobanu, Gabriel, and Ross Horne. "A Provenance Tracking Model for Data Updates." Electronic Proceedings in Theoretical Computer Science 91 (August 15, 2012): 31–44. http://dx.doi.org/10.4204/eptcs.91.3.

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24

Moreau, Luc, Ben Clifford, Juliana Freire, et al. "The Open Provenance Model core specification (v1.1)." Future Generation Computer Systems 27, no. 6 (2011): 743–56. http://dx.doi.org/10.1016/j.future.2010.07.005.

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25

Chen, Yingjie Victor, Zhenyu Cheryl Qian, Robert Woodbury, John Dill, and Chris D. Shaw. "Employing a Parametric Model for Analytic Provenance." ACM Transactions on Interactive Intelligent Systems 4, no. 1 (2014): 1–32. http://dx.doi.org/10.1145/2591510.

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26

Simmhan, Yogesh, Paul Groth, and Luc Moreau. "Special Section: The third provenance challenge on using the open provenance model for interoperability." Future Generation Computer Systems 27, no. 6 (2011): 737–42. http://dx.doi.org/10.1016/j.future.2010.11.020.

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27

Bambič, Sebastian, Kristjan Jarni, Gregor Božič, and Robert Brus. "Uspevanje omorike (Picea omorika (Pančić) Purk.) v generativnem semenskem nasadu Počivalnik pri Postojni." Acta Silvae et Ligni 123 (2020): 1–11. http://dx.doi.org/10.20315/asetl.123.1.

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Serbian spruce (Picea omorika (Pančić) Purk.) is an endemic tree species from the Balkan Peninsula. The species also thrives in Slovenia and would be an interesting minority alternative to Norway spruce (Picea abies (L.) Karst.) on some sites. This study was carried out in a Serbian spruce plantation below Počivalnik hill, between Unec and Postojna. The trees were planted in 1988 and are currently classified as a pole stand. We measured the diameters of the trees and systematically evaluated the vitality of each tree throughout the plantation. Data processing consisted of calculating the perce

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28

Shukla, Abhishek Narayan, and Vimlesh Kumar. "Provenance and Inputs Weigtage in a Workflow." COMPUSOFT: An International Journal of Advanced Computer Technology 03, no. 04 (2014): 696–98. https://doi.org/10.5281/zenodo.14715578.

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The provenance of data in a workflow, i.e. how the data is processed at every step and what changes made in each step. Several system are developed to capture provenance and for provenance related query which focused on result why a result is generated at a step or by what basis a particular conclusion drawn at step which data or input is ultimately responsible for error or effect on result and how much . In this paper we are focused these limitation we provide a model to provenance of data in each step of workflow and weightage of inputs on output. 

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29

Shu, Yanfeng, Kerry Taylor, Prasantha Hapuarachchi, and Chris Peters. "Modelling provenance in hydrologic science: a case study on streamflow forecasting." Journal of Hydroinformatics 14, no. 4 (2012): 944–59. http://dx.doi.org/10.2166/hydro.2012.134.

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The web, and more recently the concept and technology of the Semantic Web, has created a wealth of new ideas and innovative tools for data management, integration and computation in an open framework and at a very large scale. One area of particular interest to the science of hydrology is the capture, representation, inference and presentation of provenance information: information that helps to explain how data were computed and how they should be interpreted. This paper is among the first to bring recent developments in the management of provenance developed for e-science and the Semantic We

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30

Pouchard, Line, Sterling Baldwin, Todd Elsethagen, et al. "Computational reproducibility of scientific workflows at extreme scales." International Journal of High Performance Computing Applications 33, no. 5 (2019): 763–76. http://dx.doi.org/10.1177/1094342019839124.

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We propose an approach for improved reproducibility that includes capturing and relating provenance characteristics and performance metrics. We discuss two use cases: scientific reproducibility of results in the Energy Exascale Earth System Model (E3SM—previously ACME) and performance reproducibility in molecular dynamics workflows on HPC platforms. To capture and persist the provenance and performance data of these workflows, we have designed and developed the Chimbuko and ProvEn frameworks. Chimbuko captures provenance and enables detailed single workflow performance analysis. ProvEn is a hy

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31

Li, Linrui, and Wen Chen. "ConGraph: Advanced Persistent Threat Detection Method Based on Provenance Graph Combined with Process Context in Cyber-Physical System Environment." Electronics 13, no. 5 (2024): 945. http://dx.doi.org/10.3390/electronics13050945.

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With the wide use of Cyber-Physical Systems (CPS) in many applications, targets of advanced persistent threats (APTs) have been extended to the IoT and industrial control systems. Provenance graph analysis based on system audit logs has become a promising way for APT detection and investigation. However, we cannot afford to ignore that existing provenance-based APT detection systems lack the process–context information at system runtime, which seriously limits detection performance. In this paper, we proposed ConGraph, an approach for detecting APT attacks using provenance graphs combined with

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32

Kwasnikowska, Natalia, Luc Moreau, and Jan Van Den Bussche. "A Formal Account of the Open Provenance Model." ACM Transactions on the Web 9, no. 2 (2015): 1–44. http://dx.doi.org/10.1145/2734116.

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33

Groth, Paul, and Luc Moreau. "Representing distributed systems using the Open Provenance Model." Future Generation Computer Systems 27, no. 6 (2011): 757–65. http://dx.doi.org/10.1016/j.future.2010.10.001.

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34

Miles, Simon. "Mapping attribution metadata to the Open Provenance Model." Future Generation Computer Systems 27, no. 6 (2011): 806–11. http://dx.doi.org/10.1016/j.future.2010.10.007.

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35

Closa, Guillem, Joan Masó, Núria Julià, and Xavier Pons. "Geospatial Queries on Data Collection Using a Common Provenance Model." ISPRS International Journal of Geo-Information 10, no. 3 (2021): 139. http://dx.doi.org/10.3390/ijgi10030139.

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Lineage information is the part of the metadata that describes “what”, “when”, “who”, “how”, and “where” geospatial data were generated. If it is well-presented and queryable, lineage becomes very useful information for inferring data quality, tracing error sources and increasing trust in geospatial information. In addition, if the lineage of a collection of datasets can be related and presented together, datasets, process chains, and methodologies can be compared. This paper proposes extending process step lineage descriptions into four explicit levels of abstraction (process run, tool, algor

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36

Leather, S. R., A. D. Watt, and D. A. Barbour. "The effect of host-plant and delayed mating on the fecundity and lifespan of the pine beauty moth, Panolis flammea (Denis & Schiffermüller) (Lepidoptera: Noctuidae): their influence on population dynamics and relevance to pest management." Bulletin of Entomological Research 75, no. 4 (1985): 641–51. http://dx.doi.org/10.1017/s000748530001590x.

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AbstractAdult females of Panolis flammea (Denis & Schiffermüller) in the laboratory laid more eggs on some provenances of lodgepole pine (Pinus contorta) than on others, even when offered no choice. Their preoviposition period was inversely related to the suitability of the host for larval growth and development. The shorter the preoviposition period the greater the number of eggs that were laid. Delayed mating resulted in reduced fecundity and reduced egg fertility. Female moths lived longest on those hosts on which they oviposited most. Oviposition preferences were correlated with the ra

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37

Bache, Richard, Simon Miles, Bolaji Coker, and Adel Taweel. "Informative Provenance for Repurposed Data: A Case Study using Clinical Research Data." International Journal of Digital Curation 8, no. 2 (2013): 27–46. http://dx.doi.org/10.2218/ijdc.v8i2.262.

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The task repurposing of heterogeneous, distributed data for originally unintended research objectives is a non-trivial problem because the mappings required may not be precise. A particular case is clinical data collected for patient care being used for medical research. The fact that research repositories will record data differently means that assumptions must be made as how to transform of this data. Records of provenance that document how this process has taken place will enable users of the data warehouse to utilise the data appropriately and ensure that future data added from another sou

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Marschalek, James W., Edward Gasson, Tina van de Flierdt, Claus-Dieter Hillenbrand, Martin J. Siegert, and Liam Holder. "Quantitative sub-ice and marine tracing of Antarctic sediment provenance (TASP v1.0)." Geoscientific Model Development 18, no. 5 (2025): 1673–708. https://doi.org/10.5194/gmd-18-1673-2025.

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Abstract. Ice sheet models should be able to accurately simulate palaeo ice sheets to have confidence in their projections of future polar ice sheet mass loss and resulting global sea level rise. This requires accurate reconstructions of the extent and flow patterns of palaeo ice sheets using real-world data. Such reconstructions can be achieved by tracing the detrital components of offshore sedimentary records back to their source areas on land. For Antarctica, however, sediment provenance data and ice sheet model results have not been directly linked, despite the complementary information ea

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Kobliha, J., J. Stejskal, M. Lstibůrek, R. Marušák, and M. Slávik. "Selection of European larch provenances based on productivity and economic values." Journal of Forest Science 59, No. 11 (2013): 424–35. http://dx.doi.org/10.17221/49/2013-jfs.

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Productivity of individual European larch provenances was evaluated on the basis of height and diameter growth and volume production at the age of 40 years. This work was focused on identifying differences among European larch provenances using a growth simulation model (SIBYLA). Based on the growth simulations, all selected provenances had greater mean height, stem diameter and stem volume at the age of 120 years than the control seed source. Provenance 49 (Krnov-Loučky, Jesen&iacute;ky, CZ) had the greatest height growth and volume, but it ranked the fourth in diameter. Provenances 16 (C

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Gehani, Ashish, Raza Ahmad, Hassan Irshad, Jianqiao Zhu, and Jignesh Patel. "Digging into Big Provenance (with SPADE)." Queue 19, no. 3 (2021): 77–106. http://dx.doi.org/10.1145/3475965.3476885.

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Several interfaces exist for querying provenance. Many are not flexible in allowing users to select a database type of their choice. Some provide query functionality in a data model that is different from the graph-oriented one that is natural for provenance. Others have intuitive constructs for finding results but have limited support for efficiently chaining responses, as needed for faceted search. This article presents a user interface for querying provenance that addresses these concerns and is agnostic to the underlying database being used.

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Mota de Souza, Laiza, Marcela Gomes Pinheiro, Rafael De Oliveira Lacerda, Gabriel Medeiros Macedo, and Gabriella Castro Barbosa Costa Dalpra. "PROV-SwSystem: AWeb System to Capture and Analyze Provenance Data from Software Development Processes." Anais do Computer on the Beach 16 (May 27, 2025): 470–77. https://doi.org/10.14210/cotb.v16.p470-477.

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ABSTRACTData provenance encompasses the description of the origin andhistorical events of data processing. Although models such as W3CPROV allow capturing and analyzing provenance data, additionalmethods are required to address software development processes’specific uses and complexities. In this context, the PROV-SwProcessprovenance model was developed to extend W3C PROV. However,the PROV-SwProcess provenance model does not provide a specifictool to enable its instantiation. In this vein, this paper aims topresent the PROV-SwSystem - a web-based system to capture, store,and analyze software

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Sharma, Chetan, Damir D. Torrico, Lloyd Carpenter, and Roland Harrison. "Indigenous Meanings of Provenance in the Context of Alternative Food Movements and Supply-Chain Traceability: A Review." Social Sciences 10, no. 7 (2021): 255. http://dx.doi.org/10.3390/socsci10070255.

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This article reviews the concept of provenance from both contemporary and traditional aspects. The incorporation of indigenous meanings and conceptualizations of belonging into provenance are explored. First, we consider how the gradual transformation of marketplaces into market and consumer activism catalyzed the need for provenance. Guided by this, we discuss the meaning of provenance from an indigenous and non-indigenous rationale. Driven by the need for a qualitative understanding of food, the scholarship has utilized different epistemologies to demonstrate how authentic connections are cu

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Socha, Jarosław, and Marian Kulej. "Provenance-dependent variability of Abies grandis stem form under mountain conditions of Beskid Sądecki (southern Poland)." Canadian Journal of Forest Research 35, no. 11 (2005): 2539–52. http://dx.doi.org/10.1139/x05-167.

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This study compared the stem form of different provenances of Abies grandis Lindl. under the mountain conditions of Poland. Seven partial populations of this species, originating from two regions in its natural range, were tested. It was concluded that creating separate stem form models is an effective method for comparing stem forms, because the model curves for the groups under comparison are not affected by tree dimensions. The results of this study showed distinct variation in the tested populations of A. grandis in respect to stem form according to provenance (genotype). These differences

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Cuza, Petru. "The variation of growth in diameter and its relationship with the height of pedunculated oak (Quercus Robur L.) trees in the provenance cultures." Journal of Botany XV, no. 1(26) (2024): 5–18. http://dx.doi.org/10.52240/1857-2367.2023.1(26).01.

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In provenance cultures, studies were conducted on diameter growth dynamics in pedunculated oak (Quercus robur L.) trees and the height-diameter relationship was evaluated based on three data approximation models. The studies highlighted a signifi cant variation of the trunk diameter in trees of different origins and a similar growth reaction of oaks from four provenances (Hârjauca, Plaiul Fagului, Zloti, and Baimaclia) in relation to the environmental conditions of the common stand. In all the years of observation, the trees from Edineț had a rapid growth in diameter, thus demonstrating their

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Tenkanen, Antti, Sarita Keski-Saari, Jarkko Salojärvi, Elina Oksanen, Markku Keinänen, and Sari Kontunen-Soppela. "Differences in growth and gas exchange between southern and northern provenances of silver birch (Betula pendula Roth) in northern Europe." Tree Physiology 40, no. 2 (2019): 198–214. http://dx.doi.org/10.1093/treephys/tpz124.

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Abstract Due to its ubiquity across northern latitudes, silver birch (Betula pendula Roth) is an attractive model species for studying geographical trait variation and acclimation capacity. Six birch provenances from 60 to 67°N across Finland were grown in a common garden and studied for provenance and genotype variation. We looked for differences in height growth, photosynthetic gas exchange and chlorophyll content index (CCI) and compared the gas exchange of early and late leaves on short and long shoots, respectively. The provenances stratified into southern and northern groups. Northern pr

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Zhang, Jiachi, Wenchao Zhou, and Benjamin E. Ujcich. "Provenance-Enabled Explainable AI." Proceedings of the ACM on Management of Data 2, no. 6 (2024): 1–27. https://doi.org/10.1145/3698826.

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Machine learning (ML) algorithms have advanced significantly in recent years, progressively evolving into artificial intelligence (AI) agents capable of solving complex, human-like intellectual challenges. Despite the advancements, the interpretability of these sophisticated models lags behind, with many ML architectures remaining "black boxes" that are too intricate and expansive for human interpretation. Recognizing this issue, there has been a revived interest in the field of explainable AI (XAI) aimed at explaining these opaque ML models. However, XAI tools often suffer from being tightly

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Soon, Jan Mei, and Carol A. Wallace. "A greater share of the stomach?" Nutrition & Food Science 48, no. 2 (2018): 318–32. http://dx.doi.org/10.1108/nfs-06-2017-0122.

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Purpose Provenance and ethical standards reflect foods that traceable and are supportive of the environment, sustainability and justice in the food supply chain. The purpose of this study is to understand higher education consumers’ food choices and to examine the predictors of purchasing intention of food with provenance and ethical standards. Design/methodology/approach An online questionnaire was completed by 296 students and staff members of the University of Central Lancashire. The questionnaire collected information on socio-demographic profiles; food choices, provenance and ethical stan

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Jagiełło, Radosław, Adrian Łukowski, and Wojciech Kowalkowski. "The Polish Provenances of European Larch Overperform the Expected Growth Dynamics Indicated by the Sigmoid Model." Forests 13, no. 11 (2022): 1852. http://dx.doi.org/10.3390/f13111852.

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This article attempts an unusual interpretation of the observations characteristic of experiments that compare different tree species’ provenances. The focus falls on larch (Larix decidua subsp. polonica). The data came from the experiment established in 1967 at the Siemianice forest experimental station, where 21 Polish larch provenances were compared. The study’s main objective was to compare the basic estimates of growth dynamics, the maximum growth rate and acceleration, and the point in time when these values were achieved. A four-parameter sigmoid growth function was used to model the av

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Harris, Natalie, Claudia Gonzalez Viejo, Christopher Barnes, and Sigfredo Fuentes. "Non-Invasive Digital Technologies to Assess Wine Quality Traits and Provenance through the Bottle." Fermentation 9, no. 1 (2022): 10. http://dx.doi.org/10.3390/fermentation9010010.

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Due to increased fraud rates through counterfeiting and adulteration of wines, it is important to develop novel non-invasive techniques to assess wine quality and provenance. Assessment of quality traits and provenance of wines is predominantly undertaken with complex chemical analysis and sensory evaluation, which tend to be costly and time-consuming. Therefore, this study aimed to develop a rapid and non-invasive method to assess wine vintages and quality traits using digital technologies. Samples from thirteen vintages from Dookie, Victoria, Australia (2000–2021) of Shiraz were analysed usi

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Martin, Chris J., Mohammed H. Haji, Peter K. Jimack, Michael J. Pilling, and Peter M. Dew. "A user-orientated approach to provenance capture and representation for in silico experiments, explored within the atmospheric chemistry community." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 367, no. 1898 (2009): 2753–70. http://dx.doi.org/10.1098/rsta.2009.0044.

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We present a novel user-orientated approach to provenance capture and representation for in silico experiments, contrasted against the more systems-orientated approaches that have been typical within the e-Science domain. In our approach, we seek to capture the scientist's reasoning in the form of annotations as an experiment evolves, while using the scientist's terminology in the representation of process provenance. Our user-orientated approach is applied in a case study within the atmospheric chemistry domain: we consider the design, development and evaluation of an electronic laboratory no

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