Ontology based top-k query answering over massive, heterogeneous, and dynamic data

•Download as PPTX, PDF•

1 like•661 views

This document discusses ontology-based top-k continuous query answering over streaming data from multiple heterogeneous sources. It aims to investigate how ontologies and top-k queries can improve continuous query processing by exploiting ordering. The research will analyze state of the art solutions, define an evaluation framework, and assess the effects on correctness and performance of techniques that integrate stream reasoning and top-k queries. Preliminary results include an extension of an RDF stream processor testbench and a case study on real-time social media analytics.

Education Spiritual

Dipartimento di
Elettronica, Informazione e
Bioingegneria

Daniele Dell’Aglio
Advisor: Emanuele Della Valle

Ontology-based top-k query
answering over massive,
heterogeneous, and dynamic data

2/8

D. Dell'Aglio. Ontology-based top-k continuous query
answering.

Relevancy
 The processing of multiple streams poses challenges,
such as:
Data velocity
Data in multiple sources

Data heterogeneity

Identification of
relevant information

• During the Milano Design Week: given the data from
Twitter, Foursquare and public transportations, which are
the most attractive locations now?
22 October, 2013

Dipartimento di Elettronica,
Informazione e Bioingegneria

D. Dell'Aglio. Ontology-based top-k continuous query
answering.

Related works

Data velocity:
Stream processing
22 October, 2013

3/8

Data hetereogeneity:
Ontologies / Stream Reasoning

Relevant information:
Top-k queries
Dipartimento di Elettronica,
Informazione e Bioingegneria

4/8

D. Dell'Aglio. Ontology-based top-k continuous query
answering.

Problem statement

 In a real-time context, we want to make
continuous queries (with a subset of top-k
ones) using an ontology describing the data
model
 Problem statement: investigate how the top-k
queries and the ontology can be exploited to
improve the continuous query answering process
 The order is a central element in both Stream
Reasoning and top-k queries
– If and how can it be used to improve the query
answering process?

22 October, 2013

Dipartimento di Elettronica,
Informazione e Bioingegneria

5/8

D. Dell'Aglio. Ontology-based top-k continuous query
answering.

Research questions
How can M and K be
used to optimize the
logical plans?
Logical
Logical
Plans
Logical
Plans
Plans

Physical
Physical
Plans
Physical
Plans
Plans
How do M and K can be
exploited to do cross-query
optimizations?

22 October, 2013

How can M and K be used
to optimize the physical
plans?

Dipartimento di Elettronica,
Informazione e Bioingegneria

6/8

D. Dell'Aglio. Ontology-based top-k continuous query
answering.

Plan

State of the art analysis
DSMS
/CEP

Definition of the evaluation
framework

Investigation of Stream Reasoning

Top-k
queries

Reasoning

Investigation of Stream Reasoning
+ Top-k
22 October, 2013

Dipartimento di Elettronica,
Informazione e Bioingegneria

7/8

D. Dell'Aglio. Ontology-based top-k continuous query
answering.

Evaluation plan

 Correctness: assess how the techniques affect
the correctness
– Soundness
– Completeness

 Performance: compare the time and memory
consumption w.r.t state of the art solutions

 Use case and exploitation
– Determine what is possible to do
with state of the art solutions
– Identification of use cases to apply research results

22 October, 2013

Dipartimento di Elettronica,
Informazione e Bioingegneria

8/8

D. Dell'Aglio. Ontology-based top-k continuous query
answering.

Preliminary results

 CSRbench
– Extension of SRbench to assess correctness of RDF
stream processors
– Three elements
• Model to describe the operational semantics
• Test set
• Automatic validator

 Twindex FuoriSalone
– Social media analytics to real-time monitor the
FuoriSalone event
• What do people think about a given event?
• Which are the most attractive events at the
moment?
22 October, 2013

Dipartimento di Elettronica,
Informazione e Bioingegneria

9/8

D. Dell'Aglio. Ontology-based top-k continuous query
answering.

Thank you! Questions?

Ontology-based top-k query answering over
massive, heterogeneous, and dynamic data
Daniele Dell’Aglio

Advisor: Emanuele Della Valle

22 October, 2013

Dipartimento di Elettronica,
Informazione e Bioingegneria

This document discusses knowledge change management during engineering of cyber-physical production systems. It proposes a solution approach based on ontology-based information integration with knowledge change management capabilities. The approach consists of local ontologies, a common ontology, and mappings between them. It represents changes and extends ontology-based information integration. The solution was implemented and tested on a use case of engineering a hydro power plant, demonstrating successful validation and propagation of changes during multi-disciplinary engineering. Future work aims to improve scalability and ease of use.

Présentation PowerPoint - Diapositive 1

butest

The document summarizes research on ranking the susceptibility of electrical feeders in the New York City power grid to failure using machine learning techniques. It finds that Rankboost and SVM performed comparably well in predicting failures over 7-day periods, while MartiRank performed slightly worse. All algorithms detected periods of concept drift where less historical data was optimal for prediction. Future work could integrate analysis of feeder subcomponents, better handle concept drift, and estimate time to failure.

Resume

Ji Heng

Heng Ji is pursuing a Master of Science in Electrical Engineering at Columbia University. He received his Bachelor of Science in Applied Physics from the University of Science and Technology of China, where he received several awards for his academic and research accomplishments. His research at Columbia involves internet of things, big data analysis, and machine learning algorithms applied to sensor data collection and processing. Previously at USTC, he conducted research in gas electron multiplier electronic readout design and control of strontium titanate nanostructures.

Adopting a situated learning framework for (big) data projects

Cranfield University

The Importance of Open Data and Models for Energy Systems Analysis

The Open Data Institute of North Carolina

October 24, 2014: Joseph DeCarolis, Assistant Professor at North Carolina State University, will present The Importance of Open Data and Models for Energy Systems Analysis. Energy system models represent a critical planning tool that can be used to deliver policy-relevant insights at scales ranging from local to global. When such models are used to inform public policy, the associated data and source code should be open in order to enable third party replication of results, expose hidden assumptions, and identify key model sensitivities. In this talk, I describe my own effort to push open data and models within the international energy modeling community.

PTW_CV

Paul Watrobski

This curriculum vitae summarizes the qualifications of Paul Thomas Watrobski, who is currently a PhD candidate in Electrical and Computer Engineering at the University of Maryland specializing in cybersecurity. His research interests include cryptography, ad-hoc networks, the internet-of-things, and cyber-physical systems. He holds an MS in Electrical Engineering from the State University of New York at Binghamton and has worked as a researcher at the National Institute of Standards and Technology and Oak Ridge National Laboratory. He has also held teaching assistant roles and advised undergraduate students.

Smarter Innovation at Scale

Govnet Events

The Hartree Centre provides high performance computing resources and expertise to help organizations use computational modeling and simulation to develop better products faster and cheaper. It has several large supercomputers totalling over 120,000 CPU cores and 24 petabytes of storage. The Center works with clients in engineering, manufacturing, life sciences, energy, finance, and transport. It also conducts research in areas like machine learning, algorithms, and data-centric computing architectures. The document discusses how trends like industrial engagement models, democratization of power, big data, and skills shortages will impact computational research in the future.

Systematic Mapping Study on Software Engineering for Sustainability (SE4S)

Henning Femmer

Background/Context : The ob jective of achieving higher sustainability in our lifestyles by information and communication technology has lead to a plethora of research activities in related fields. Consequently, Software Engineering for Sustainability (SE4S) has developed as an active area of research. Objective/Aim: Although SE4S has gained much attention over the past few years and has resulted in a number of contributions, there is only one rigorous survey of the field. We would like to follow up on this systematic mapping study from 2012 with a more in-depth overview of the status of research, as most of the work has been conducted in the last 4 years. Method: The applied method is a systematic mapping study through which we investigate which contributions were made over time, which software engineering knowledge areas are most explored, and which research type facets have been used, to distill a common understanding of the state-of-the-art in SE4S. Results: We contribute an overview of current research topics and trends, and their distribution according to the research type facet and the application domains. Furthermore, we aggregate the topics into clusters and list proposed and used methods, frameworks, and tools. Conclusion: The research map shows that impact currently is limited to few knowledge areas and there is need for a future roadmap to fill the gaps.

This document discusses a project to monitor the urban environment through semantic stream processing of heterogeneous sensor data sources in real-time. The goals are to enable continuous reasoning over urban environmental data, federate and aggregate different sensor sources, and support decision making for city stakeholders. The approach involves integrating pollution, weather, traffic, and other environmental data streams into a semantic stream processor and providing the output to stakeholders through linked widgets for analysis. Key research questions focus on facilitating the use of real-time data streams, applying semantic stream processing to enable knowledge inference for urban use cases, and which existing data integration methods can model and process environmental data.

AS_industrialNew

Alena Simalatsar

Alena Simalatsar is a seasoned R&D engineer with over 5 years of experience in biomedical engineering and medical devices. She has led complex multidisciplinary projects from research to prototyping, including developing intelligent algorithms for anesthesia delivery and a portable ultrasound system. She is skilled in conducting experiments, identifying issues, and determining solutions. She is looking for new challenges to develop innovative healthcare products using her expertise in areas such as R&D, product design, algorithms, testing, and project management.

Drew Hanover Nomination Letter

Drew Hanover

Drew Hanover is nominated for the MEEM Departmental Scholar award by Professor Mahdi Shahbakhti. Drew has excelled academically, maintaining a 3.73 GPA and being on the Dean's List. He has also contributed significantly to research projects, helping to instrument buildings for energy analysis and developing a mathematical model for photovoltaic panels. Drew's work has led to two publications and he has interned with General Motors and NASA, demonstrating his outstanding scholarship and initiative.

International Journal on Computational Science & Applications (IJCSA)

ijcsa

International Journal on Computational Science & Applications (IJCSA) is a Bi-monthly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of the Computational Science & Applications. Computational science is interdisciplinary fields in which mathematical models are combined with scientific computing methods to study of a wide range of problems in science and engineering. Modeling and simulation tools find increasing applications not only in fundamental research, but also in real-world design and industry applications.

ZaneRicksResume8-14

Zane Ricks

Zane Ricks is a mechanical and biomedical engineer with experience in technical support, tutoring, research, and clinical trials. He has over 10 years of experience in various roles including technical support, tutoring engineering and math students, directing pre-clinical research on neural stimulation, and coordinating human clinical trials. Ricks has a Master's degree in Biomedical Engineering from Vanderbilt University and a Bachelor's degree in Mechanical Engineering from the University of Nevada, Reno. He has strong skills in communication, analytics, computer programs, and technical areas relevant to engineering.

Call for papers - International Journal on Computational Science & Applicatio...

ijcsa

Rocca Fellow Pedroni

Rocca Fellows

Nicola Pedroni is a PhD student from Italy studying simulation methods for uncertainty and sensitivity analysis. At MIT, he applies Monte Carlo simulation methods to passive safety system reliability analysis and uses regression models to reproduce complex thermal-hydraulic models. He is studying the integration of probabilistic methods and regression models for fast and efficient uncertainty and sensitivity analyses in reliability applications.

Resume

Merlin Ginther

Merlin W. Ginther is a highly motivated college graduate with a Bachelor's degree in mathematical sciences and an emphasis in physics. He has research experience utilizing numerical methods and simulation techniques through internships with the National Science Foundation and independent computational fluid dynamics studies. Ginther also has work experience as a resident assistant, STEM tutor, and air quality technician, and has received multiple leadership awards for his academic and civic work.

[2017 AI-SOCD] AirBox Data Visualization: demonstration with case studies

Ling-Jyh Chen

The document discusses data visualization tools and techniques used for the AirBox citizen science air pollution monitoring project. It describes the AirBox system which collects data from sensors, performs computations, and visualizes the data through various tools. It provides examples of visualizations including device information, comparisons, dashboards, maps, and animations. It also presents case studies showing patterns in air pollution data related to events like pollution coming from China, a religious celebration, wind patterns, and rain. The key lessons are that visualization is important for understanding data, web-based tools are preferred, and challenges around scalability, security, and privacy must be considered.

[2017/07/11 AI-SOCD] AirBox: a Participatory Ecosystem for PM2.5 Monitoring

Ling-Jyh Chen

AirBox is a participatory ecosystem for PM2.5 air quality monitoring in Taiwan that has grown from 76 devices in 2015 to over 2,000 devices across 29 countries in 2017. It is based on an open hardware, open source, open data and open community approach. The system provides real-time air quality data visualization and analytics to empower citizens and inform environmental policymaking. Continued expansion of the monitoring network, development of new sensors and data applications, and interdisciplinary collaboration are priorities for the future.

012517 ResumeJH Amex DS-ML

Jeremy Hadidjojo

Jeremy Hadidjojo is a PhD candidate in physics at the University of Michigan with expertise in computational physics, mathematical modeling, simulation, and data analysis. His research focuses on developing physical models of biological pattern formation and applying machine learning techniques to analyze complex systems. He has extensive programming skills in MATLAB, Python, C++ and experience with parallel and GPU computing. His published works include modeling mechanisms of planar cell chirality and retinal cone patterning in zebrafish.

Improving absorptive capacity in product development with online collaboratio...

Tero Peltola

Overview of the Analytical Information Markup Language (AnIML)

Stuart Chalk

This document provides an overview of the Analytical Information Markup Language (AnIML), which is an XML standard for storing analytical instrumentation data. It discusses the goals of AnIML, including being extensible, flexible, and human-readable. The document outlines the sections of an AnIML file and how AnIML defines techniques. It also covers using AnIML for publishing, referencing, and performing calculations on instrumentation data. Future developments mentioned include finalizing the AnIML 1.0 specification and creating additional technique definitions.

Integrating AnIML Files in Electronic Laboratory Notebooks - PittCon 2015

Stuart Chalk

This document discusses integrating AnIML files, an XML data standard for analytical instrument data, into electronic laboratory notebooks. It describes what AnIML files contain, how they can be used to store and reference instrument data in ELNs, and how that data can be viewed, published, and used for calculations. Integrating AnIML allows scientists to capture instrument data digitally along with the experimental context and workflow in their notebooks.

Predicting Defects Using Change Genealogies (ISSE 2013)

Kim Herzig

This document discusses using change genealogies, which model dependencies between code changes, to predict defects. It finds that models using change genealogy metrics outperform those based on code complexity or dependency networks alone, achieving better precision while maintaining close recall. Key metrics include network efficiency and relationships between changes and dependency types. The study confirms that code entities combining functionalities from multiple older changes are more defect-prone.

CV_Powei Liang_simple

Peala Liang

Po-Wei Liang is a PhD candidate in Materials Science and Engineering at the University of Washington. His research focuses on developing high performance organic-inorganic hybrid perovskite photovoltaics through composition engineering and interface design. He has published several papers in top journals on perovskite solar cells and holds patents related to his work. Prior to his PhD, he obtained a Master's degree in Photonics from National Cheng Kung University and a Bachelor's degree in Electrical Engineering from National Sun Yat-Sen University.

Entropy and Similarity Measure Design for High Dimensional Data with Spatial ...

Conferenceproceedings

Predix Analytics

Altoros

This document provides information about Himaja Vadaga and her work with Predix Analytics. It discusses Predix, an analytics platform for the energy sector that uses IoT data. Her project for Predix collected data from equipment over time and location, including physical readings, and studied the health of power plant workers and atmospheric changes. The analytics are expected to save $30 million, create new jobs, and help design more advanced power plants through predictive maintenance and optimization.

Smart Data for Behavioural Change: Towards Energy Efficient Buildings

Anna Fensel

“The Semantic Web is not a separate Web but an extension of the current one, in which information is given well-defined meaning, better enabling computers and people to work in cooperation.” - this statement of Tim Berners-Lee has gained even more relevance since the start of this century. The humanity is rapidly developing and persistently experiencing local and global challenges, such as global warming/climate change, dis-balances in demand and supply, among many others. Mastering most (if not all) of them require a behavior change. Behavioral change is difficult to achieve per se, and it is important that technology – as a major enabler - has a positive rather than a negative impact here. Further, the dramatic growth of data volumes (Big Data, Internet of Things) and the data’s increased power and impact and on the people's daily lives are calling for new types, practices and policies of behavior with data. These factors made the role of semantic technology even more crucial: in terms of providing a well-defined meaning, and eventually delivering Smart Data for a functional and fair data value chain. Addressing the behavioural change with Smart Data, I discuss potential ICT solutions investigating the domain of energy efficient buildings. Particularly, our completed OpenFridge experiment will be presented: design and development of the Internet of Things data system with semantic and data analytics enablers for building new services on a top of typical home appliance data — in particular, refrigerators. The system has been evaluated with real life end-user pilots. In conclusions, I overview our related ongoing work, namely, in the areas of the impact of Big Data on society and related research roadmapping (linking to sociology), personalized energy efficiency data management services in buildings (linking to psychology), and semantic data licensing (linking to law).

Building a semantic-based decision support system to optimize the energy use ...

Gonçal Costa Jutglar

The document describes a semantic decision support system called OPTIMUS that optimizes energy use in public buildings. OPTIMUS integrates data from various sources like weather forecasts, social media, occupancy sensors, energy prices and renewable energy production. It uses a semantic framework including an ontology to model this multidisciplinary data. Prediction models use historical data to forecast building behavior. Inference rules then suggest short-term action plans based on the predictions and real-time monitored data. The system interfaces display this information to support user decisions. It was tested in pilot cities to optimize actions like HVAC scheduling and electricity self-consumption or feeding to the grid.

Software Sustainability Institute

Neil Chue Hong

The Software Sustainability Institute (SSI) provides services to help research groups sustain their software over the long term. It collaborates with groups in various fields to improve key software through advice, training, and partnerships. Case studies describe projects in fields like fusion energy, climate modeling, geospatial data, and computational chemistry. The SSI aims to promote best practices and change perceptions so software is recognized as a valuable long-term asset, not just for initial research. Sustaining software requires support for both technical aspects and community engagement over decades.

What's hot

International Journal on Computational Science & Applications (IJCSA)

ijcsa

Urban Environment Monitor

Beta2k

AS_industrialNew

Alena Simalatsar

Drew Hanover Nomination Letter

Drew Hanover

International Journal on Computational Science & Applications (IJCSA)

ijcsa

ZaneRicksResume8-14

Zane Ricks

Call for papers - International Journal on Computational Science & Applicatio...

ijcsa

Rocca Fellow Pedroni

Rocca Fellows

Resume

Merlin Ginther

[2017 AI-SOCD] AirBox Data Visualization: demonstration with case studies

Ling-Jyh Chen

[2017/07/11 AI-SOCD] AirBox: a Participatory Ecosystem for PM2.5 Monitoring

Ling-Jyh Chen

012517 ResumeJH Amex DS-ML

Jeremy Hadidjojo

Improving absorptive capacity in product development with online collaboratio...

Tero Peltola

Overview of the Analytical Information Markup Language (AnIML)

Stuart Chalk

Integrating AnIML Files in Electronic Laboratory Notebooks - PittCon 2015

Stuart Chalk

Predicting Defects Using Change Genealogies (ISSE 2013)

Kim Herzig

CV_Powei Liang_simple

Peala Liang

Entropy and Similarity Measure Design for High Dimensional Data with Spatial ...

Conferenceproceedings

Predix Analytics

Altoros

What's hot (19)

International Journal on Computational Science & Applications (IJCSA)

Urban Environment Monitor

AS_industrialNew

Drew Hanover Nomination Letter

International Journal on Computational Science & Applications (IJCSA)

ZaneRicksResume8-14

Call for papers - International Journal on Computational Science & Applicatio...

Rocca Fellow Pedroni

Resume

[2017 AI-SOCD] AirBox Data Visualization: demonstration with case studies

[2017/07/11 AI-SOCD] AirBox: a Participatory Ecosystem for PM2.5 Monitoring

012517 ResumeJH Amex DS-ML

Improving absorptive capacity in product development with online collaboratio...

Overview of the Analytical Information Markup Language (AnIML)

Integrating AnIML Files in Electronic Laboratory Notebooks - PittCon 2015

Predicting Defects Using Change Genealogies (ISSE 2013)

CV_Powei Liang_simple

Entropy and Similarity Measure Design for High Dimensional Data with Spatial ...

Predix Analytics

Daniele Dell'Aglio

This document presents a survey of temporal extensions of description logics (DLs) conducted by Daniele Dell'Aglio, Fariz Darari and Davide Lanti. It begins with an overview and outline of the topics that will be covered, including a running example to model how to become a doctor. The paper then surveys existing solutions for extending DLs with temporal aspects, including state-change based DLs, temporal DLs with an internal approach, point-based temporal DLs and interval-based temporal DLs. It concludes with a discussion of current hot topics and future directions for research on temporal extensions of DLs.

IMaRS - Incremental Materialization for RDF Streams (SR4LD2013)

Daniele Dell'Aglio

This document discusses incremental materialization for RDF streams (IMaRS). IMaRS is an approach for incremental reasoning over sliding windows of RDF streams. It avoids recomputing the entire materialization when the window slides by tracking expiration times and computing only the changes (additions and removals) needed for the new materialization. The maintenance is done through execution of a logic program that uses contexts to build the delta sets for updating the materialization incrementally as new data enters the window.

RDF Stream Processing Models (SR4LD2013)

Daniele Dell'Aglio

On correctness in RDF stream processor benchmarking

Daniele Dell'Aglio

This document discusses correctness in benchmarking RDF stream processors. It proposes a common model for the operational semantics of these systems called CSR and an extension to an existing benchmark called CSR-bench that focuses on correctness. CSR-bench includes an oracle to automatically validate correctness and a test suite. Experiments with three systems showed incorrect behaviors related to window initialization, slide parameters, window contents and timestamps. The work aims to improve understanding and assessment of these systems through a shared test environment.

An Ontological Formulation and an OPM profile for Causality in Planning Appli...

Daniele Dell'Aglio

P&MSP2012 - Maven

Daniele Dell'Aglio

Maven is a build automation tool that uses conventions over configurations. It utilizes a project object model (POM) file that defines project coordinates, dependencies, plugins, and repositories. Maven projects follow a standard directory structure and use lifecycles made up of phases to execute goals like compiling, testing, packaging, and deploying. It retrieves dependencies and plugins from repositories, caching artifacts locally for reuse.

P&MSP2012 - Version Control Systems

Daniele Dell'Aglio

More from Daniele Dell'Aglio (20)

Distributed stream consistency checking

On web stream processing

On a web of data streams

Triplewave: a step towards RDF Stream Processing on the Web

On unifying query languages for RDF streams

RSEP-QL: A Query Model to Capture Event Pattern Matching in RDF Stream Proces...

Summary of the Stream Reasoning workshop at ISWC 2016

On Unified Stream Reasoning

On Unified Stream Reasoning - The RDF Stream Processing realm

Querying the Web of Data with XSPARQL 1.1

Augmented Participation to Live Events through Social Network Content Enrichm...

An experience on empirical research about rdf stream

RDF Stream Processing Models (RSP2014)

A Survey of Temporal Extensions of Description Logics

IMaRS - Incremental Materialization for RDF Streams (SR4LD2013)

RDF Stream Processing Models (SR4LD2013)

On correctness in RDF stream processor benchmarking

An Ontological Formulation and an OPM profile for Causality in Planning Appli...

P&MSP2012 - Maven

P&MSP2012 - Version Control Systems

Recently uploaded

MARY JANE WILSON, A “BOA MÃE” .

Colégio Santa Teresinha

A Strategic Approach: GenAI in Education

Peter Windle

Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction. This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.

বাংলাদেশ অর্থনৈতিক সমীক্ষা (Economic Review) ২০২৪ UJS App.pdf

eBook.com.bd (প্রয়োজনীয় বাংলা বই)

বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত .. আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ... তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...। বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...

World environment day ppt For 5 June 2024

ak6969907

Assessment and Planning in Educational technology.pptx

Kavitha Krishnan

In an education system, it is understood that assessment is only for the students, but on the other hand, the Assessment of teachers is also an important aspect of the education system that ensures teachers are providing high-quality instruction to students. The assessment process can be used to provide feedback and support for professional development, to inform decisions about teacher retention or promotion, or to evaluate teacher effectiveness for accountability purposes.

The Diamonds of 2023-2024 in the IGRA collection

Israel Genealogy Research Association

Introduction to AI for Nonprofits with Tapp Network

TechSoup

ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...

PECB

Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency. Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor. His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects. What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results. Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment. Date: May 29, 2024 Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR ------------------------------------------------------------------------------- Find out more about ISO training and certification services Training: ISO/IEC 27001 Information Security Management System - EN | PECB ISO/IEC 42001 Artificial Intelligence Management System - EN | PECB General Data Protection Regulation (GDPR) - Training Courses - EN | PECB Webinars: https://pecb.com/webinars Article: https://pecb.com/article ------------------------------------------------------------------------------- For more information about PECB: Website: https://pecb.com/ LinkedIn: https://www.linkedin.com/company/pecb/ Facebook: https://www.facebook.com/PECBInternational/ Slideshare: http://www.slideshare.net/PECBCERTIFICATION

Azure Interview Questions and Answers PDF By ScholarHat

Scholarhat

RPMS TEMPLATE FOR SCHOOL YEAR 2023-2024 FOR TEACHER 1 TO TEACHER 3

IreneSebastianRueco1

Digital Artefact 1 - Tiny Home Environmental Design

amberjdewit93

PIMS Job Advertisement 2024.pdf Islamabad

AyyanKhan40

PCOS corelations and management through Ayurveda.

Dr. Shivangi Singh Parihar

How to Build a Module in Odoo 17 Using the Scaffold Method

Celine George

Hindi varnamala | hindi alphabet PPT.pdf

Dr. Mulla Adam Ali

हिंदी वर्णमाला पीपीटी, hindi alphabet PPT presentation, hindi varnamala PPT, Hindi Varnamala pdf, हिंदी स्वर, हिंदी व्यंजन, sikhiye hindi varnmala, dr. mulla adam ali, hindi language and literature, hindi alphabet with drawing, hindi alphabet pdf, hindi varnamala for childrens, hindi language, hindi varnamala practice for kids, https://www.drmullaadamali.com

South African Journal of Science: Writing with integrity workshop (2024)

Academy of Science of South Africa

Pride Month Slides 2024 David Douglas School District

David Douglas School District

CACJapan - GROUP Presentation 1- Wk 4.pdf

camakaiclarkmusic

Advanced Java[Extra Concepts, Not Difficult].docx

adhitya5119

Lapbook sobre os Regimes Totalitários.pdf

Jean Carlos Nunes Paixão

Recently uploaded (20)

MARY JANE WILSON, A “BOA MÃE” .

A Strategic Approach: GenAI in Education

বাংলাদেশ অর্থনৈতিক সমীক্ষা (Economic Review) ২০২৪ UJS App.pdf

World environment day ppt For 5 June 2024

Assessment and Planning in Educational technology.pptx

The Diamonds of 2023-2024 in the IGRA collection

Introduction to AI for Nonprofits with Tapp Network

ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...

Azure Interview Questions and Answers PDF By ScholarHat

RPMS TEMPLATE FOR SCHOOL YEAR 2023-2024 FOR TEACHER 1 TO TEACHER 3

Digital Artefact 1 - Tiny Home Environmental Design

PIMS Job Advertisement 2024.pdf Islamabad

PCOS corelations and management through Ayurveda.

How to Build a Module in Odoo 17 Using the Scaffold Method

Hindi varnamala | hindi alphabet PPT.pdf

South African Journal of Science: Writing with integrity workshop (2024)

Pride Month Slides 2024 David Douglas School District

CACJapan - GROUP Presentation 1- Wk 4.pdf

Advanced Java[Extra Concepts, Not Difficult].docx

Lapbook sobre os Regimes Totalitários.pdf

Ontology based top-k query answering over massive, heterogeneous, and dynamic data

1. Dipartimento di Elettronica, Informazione e Bioingegneria Daniele Dell’Aglio Advisor: Emanuele Della Valle Ontology-based top-k query answering over massive, heterogeneous, and dynamic data

2. 2/8 D. Dell'Aglio. Ontology-based top-k continuous query answering. Relevancy  The processing of multiple streams poses challenges, such as: Data velocity Data in multiple sources Data heterogeneity Identification of relevant information • During the Milano Design Week: given the data from Twitter, Foursquare and public transportations, which are the most attractive locations now? 22 October, 2013 Dipartimento di Elettronica, Informazione e Bioingegneria

3. D. Dell'Aglio. Ontology-based top-k continuous query answering. Related works Data velocity: Stream processing 22 October, 2013 3/8 Data hetereogeneity: Ontologies / Stream Reasoning Relevant information: Top-k queries Dipartimento di Elettronica, Informazione e Bioingegneria

4. 4/8 D. Dell'Aglio. Ontology-based top-k continuous query answering. Problem statement  In a real-time context, we want to make continuous queries (with a subset of top-k ones) using an ontology describing the data model  Problem statement: investigate how the top-k queries and the ontology can be exploited to improve the continuous query answering process  The order is a central element in both Stream Reasoning and top-k queries – If and how can it be used to improve the query answering process? 22 October, 2013 Dipartimento di Elettronica, Informazione e Bioingegneria

5. 5/8 D. Dell'Aglio. Ontology-based top-k continuous query answering. Research questions How can M and K be used to optimize the logical plans? Logical Logical Plans Logical Plans Plans Physical Physical Plans Physical Plans Plans How do M and K can be exploited to do cross-query optimizations? 22 October, 2013 How can M and K be used to optimize the physical plans? Dipartimento di Elettronica, Informazione e Bioingegneria

6. 6/8 D. Dell'Aglio. Ontology-based top-k continuous query answering. Plan State of the art analysis DSMS /CEP Definition of the evaluation framework Investigation of Stream Reasoning Top-k queries Reasoning Investigation of Stream Reasoning + Top-k 22 October, 2013 Dipartimento di Elettronica, Informazione e Bioingegneria

7. 7/8 D. Dell'Aglio. Ontology-based top-k continuous query answering. Evaluation plan  Correctness: assess how the techniques affect the correctness – Soundness – Completeness  Performance: compare the time and memory consumption w.r.t state of the art solutions  Use case and exploitation – Determine what is possible to do with state of the art solutions – Identification of use cases to apply research results 22 October, 2013 Dipartimento di Elettronica, Informazione e Bioingegneria

8. 8/8 D. Dell'Aglio. Ontology-based top-k continuous query answering. Preliminary results  CSRbench – Extension of SRbench to assess correctness of RDF stream processors – Three elements • Model to describe the operational semantics • Test set • Automatic validator  Twindex FuoriSalone – Social media analytics to real-time monitor the FuoriSalone event • What do people think about a given event? • Which are the most attractive events at the moment? 22 October, 2013 Dipartimento di Elettronica, Informazione e Bioingegneria

9. 9/8 D. Dell'Aglio. Ontology-based top-k continuous query answering. Thank you! Questions? Ontology-based top-k query answering over massive, heterogeneous, and dynamic data Daniele Dell’Aglio Advisor: Emanuele Della Valle 22 October, 2013 Dipartimento di Elettronica, Informazione e Bioingegneria

Ontology based top-k query answering over massive, heterogeneous, and dynamic data

Recommended

Recommended

More Related Content

What's hot

What's hot (19)

Similar to Ontology based top-k query answering over massive, heterogeneous, and dynamic data

Similar to Ontology based top-k query answering over massive, heterogeneous, and dynamic data (20)

More from Daniele Dell'Aglio

More from Daniele Dell'Aglio (20)

Recently uploaded

Recently uploaded (20)

Ontology based top-k query answering over massive, heterogeneous, and dynamic data