Polyflow: a Polystore-compliant Mechanism to Provide Interoperability to Heterogeneous Provenance Graphs

نویسندگان

چکیده

Many scientific experiments are modeled as workflows. Workflows usually output massive amounts of data. To guarantee the reproducibility workflows, they orchestrated by Workflow Management Systems (WfMS), that capture provenance Provenance represents lineage a data fragment throughout its transformations activities in workflow. traces represented graphs. These graphs allows scientists to analyze and evaluate results produced However, each WfMS has proprietary format for do it different granularity levels. Therefore, more complex scenarios which scientist needs interpret generated multiple WfMSs challenge arises. first understand research landscape, we conduct Systematic Literature Mapping, assessing existing solutions under several lenses. With clearer understanding state art, propose tool called Polyflow, is based on concept Polystore systems, integrating databases heterogeneous origin adopting global ProvONE schema. Polyflow query an integrated way. was evaluated experts using collected from real generate phylogenetic trees through The experiment suggest viable solution interoperating WfMSs, both usability performance standpoint.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

SGProv: Summarization Mechanism for Multiple Provenance Graphs

Scientific workflow management systems (SWfMS) are powerful tools in the automation of scientific experiments. Several workflow executions are necessary to accomplish one scientific experiment. Data provenance, typically collected by SWfMS during workflow execution, is important to understand, reproduce and analyze scientific experiments. Provenance is about data derivation, thus it is typicall...

متن کامل

Semantic Enrichment: A First Step to Provide Database Interoperability

Semantic enrichment is a process that upgrades the semantics of databases. Usually, this is done by remodelling database schemas in a higher data model in order to explicitly express semantics that is implicit in the data. We use the ODMG-93 standard for object-oriented database systems to this end. Hence relational database schemas are transformed into object-oriented ones, thereby making expl...

متن کامل

Workflows to open provenance graphs, round-trip

The Open Provenance Model is designed to capture relationships amongst data values, and amongst processors that produce or consume those values. While OPM graphs are able to describe aspects of a workflow execution, capturing the structure of the workflows themselves is understandably beyond the scope of the OPM specification, since the graphs may be generated by a broad variety of processes, w...

متن کامل

Named Graphs as a Mechanism for Reasoning About Provenance

Named Graphs is a simple, compatible extension to the RDF abstract syntax that enables statements to be made about RDF graphs. This approach is in contrast to earlier attempts such as RDF reification, or knowledge-base specific extensions including quads and contexts. In this paper we demonstrate the use of Named Graphs and our experiences developing new kinds of semantic web application that b...

متن کامل

Coordination Mechanism and Customizable Hardware Platform to Provide Heterogeneous Wireless Sensor Networks Support∗

This paper presents an effort to support emerging Wireless Sensor Networks applications composed by different types of sensor nodes. The work is composed by two parts, in which the first is dedicated to provide cooperation abilities to sensor nodes, while the second is a customizable hardware platform intended to provide different types of sensor nodes, from those more resource constrained up t...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Information and Data Management

سال: 2021

ISSN: ['2178-7107']

DOI: https://doi.org/10.5753/jidm.2020.2017