The Web is a universal medium for information, data and knowledge exchange. The Semantic Web is an extension of the World Wide Web, ``in which information is given well-defined meaning, better enabling computers and people to work in cooperation''\cite{semweb:lee}. RDF, together with SparQL, provide a powerful mechanism for describing and interchanging metadata on the web. This paper presents briefly the two concepts - RDF, SparQL - and three of the most popular frameworks (written in Java) that offer support for RDF: Jena, Sesame and JRDF.
Some background and thoughts on Metadata Mapping and Metadata Crosswalks. A collection of online sources and related projects. Comments are more than welcome, as is reuse!
Applied Semantic Search with Microsoft SQL ServerMark Tabladillo
Text mining is projected to dominate data mining, and the reasons are evident: we have more text available than numeric data. Microsoft introduced a new technology to SQL Server 2012 called Semantic Search. This session's detailed description and demos give you important information for the enterprise implementation of Tag Index and Document Similarity Index. The demos include a web-based Silverlight application, and content documents from Wikipedia. We'll also look at strategy tips for how to best leverage the new semantic technology with existing Microsoft data mining.
The Web is a universal medium for information, data and knowledge exchange. The Semantic Web is an extension of the World Wide Web, ``in which information is given well-defined meaning, better enabling computers and people to work in cooperation''\cite{semweb:lee}. RDF, together with SparQL, provide a powerful mechanism for describing and interchanging metadata on the web. This paper presents briefly the two concepts - RDF, SparQL - and three of the most popular frameworks (written in Java) that offer support for RDF: Jena, Sesame and JRDF.
Some background and thoughts on Metadata Mapping and Metadata Crosswalks. A collection of online sources and related projects. Comments are more than welcome, as is reuse!
Applied Semantic Search with Microsoft SQL ServerMark Tabladillo
Text mining is projected to dominate data mining, and the reasons are evident: we have more text available than numeric data. Microsoft introduced a new technology to SQL Server 2012 called Semantic Search. This session's detailed description and demos give you important information for the enterprise implementation of Tag Index and Document Similarity Index. The demos include a web-based Silverlight application, and content documents from Wikipedia. We'll also look at strategy tips for how to best leverage the new semantic technology with existing Microsoft data mining.
Lecture Notes by Mustafa Jarrar at Birzeit University, Palestine.
See the course webpage at: http://jarrar-courses.blogspot.com/2014/01/sparql-rdf-query-language.html
and http://www.jarrar.info
The lecture covers:
- SPARQL Basics
- SPARQL Practical Session
eXTend DB. An embedded extensible document database. Extend with custom queries and object modifiers. Learn More ».
Morph DB. A Key-Value pair database. Allows fast in-place updates / object expansion. Learn More ».
Block Manager
An innovative library which manages on-disk blocks inside a file and provides a very simple interface to be used for variety of on-disk datastructures.
http://sscreation.net.in
Range query in P2P system is mainly made by establishing index, such as B+ tree or DST. However when the number of nodes in the system and the amount of data in a single node increases significantly, the above traditional index will become extremely large so it will affect the query efficiency. In the present, enterprises require effective data analysis when making some important decisions, such as user's consumption habits deriving from analyzing user data. This paper aims at optimization of range query in big data. This algorithm introduces MapReduce in P2P system and organizes files by P-Ring in different nodes. When making range query we use P-Ring to find the corresponding files and then search data in the file by B+ tree.
Drupal, CKAN and Public Data. DrupalGov 08 february 2016Steven De Costa
Main points from this presentation are:
DKAN is not CKAN
CKAN is owning Australian Government
Data.Vic, Data.NSW, Data.SA and Data.Brisbane use Drupal and CKAN together
Single Sign on – https://github.com/ckan/ckanext-drupal7
Taxonomies and CKAN - pulling from CKAN into Drupal to enhance content for Government websites.
Webforms to CKAN - for an 'open data' form collection process.
Resource Views for Drupal - configured for a CKAN portal and orgsanisation.
Telling stories with data...
A Novel Approach for Web Page Set Mining dannyijwest
The one of the most time consuming steps for association rule mining is the computation of the frequency of
the occurrences of itemsets in the database. The hash table index approach converts a transaction
database to an hash index tree by scanning the transaction database only once. Whenever user requests for
any Uniform Resource Locator (URL), the request entry is stored in the Log File of the server. This paper
presents the hash index table structure, a general and dense structure which provides web page set
extraction from Log File of server.
Vision Based Deep Web data Extraction on Nested Query Result RecordsIJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
The International Journal of Engineering and Science (The IJES)theijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
Create Linked Open Data (LOD) Microthesauri using Art & Architecture Thesaurus (AAT) LOD. View and manage options by a non-techy person. Everyone can use, create,
derive from, & map to AAT microthesauri and make the digital collection become LOD-ready dataset.
With the rapid development in Geographic Information Systems (GISs) and their applications, more and
more geo-graphical databases have been developed by different vendors. However, data integration and
accessing is still a big problem for the development of GIS applications as no interoperability exists among
different spatial databases. In this paper we propose a unified approach for spatial data query. The paper
describes a framework for integrating information from repositories containing different vector data sets
formats and repositories containing raster datasets. The presented approach converts different vector data
formats into a single unified format (File Geo-Database “GDB”). In addition, we employ “metadata” to
support a wide range of users’ queries to retrieve relevant geographic information from heterogeneous and
distributed repositories. Such an employment enhances both query processing and performance.
Relations for Reusing (R4R) in A Shared Context: An Exploration on Research P...andrea huang
Will the rich domain knowledge from research publications and the implicit cross-domain metadata of cultural objects be compliant with each other? A contextual framework is proposed as dynamic and relational in supporting three different contexts: Reusing, Publication and Curation, which are individually constructed but overlapped with major conceptual elements. A Relations for Reusing (R4R) ontology has been devised for modeling these overlapping
conceptual components (Article, Data, Code, Provence, and License) for interlinking research outputs and cultural heritage data. In particular, packaging and citation relations are key to build up interpretations for dynamic contexts. Examples are provided for illustrating how the linking mechanism can be constructed and represented as a result to reveal the data linked in different contexts.
Automating Relational Database Schema Design for Very Large Semantic DatasetsThomas Lee
Many semantic datasets or RDF datasets are very large but have no pre-defined data structures. Triple stores are commonly used as RDF databases yet they cannot achieve good query performance for large datasets owing to excessive self-joins. Recent research work proposed to store RDF data in column-based databases. Yet, some study has shown that such an approach is not scalable to the number of predicates. The third common approach is to organize an RDF data set in different tables in a relational database. Multiple “correlated” predicates are maintained in the same table called property table so that table-joins are not needed for queries that involve only the predicates within the table. The main challenge for the property table approach is that it is infeasible to manually design good schemas for the property tables of a very large RDF dataset. We propose a novel data-mining technique called Attribute Clustering by Table Load (ACTL) that clusters a given set of attributes into correlated groups, so as to automatically generate the property table schemas. While ACTL is an NP-complete problem, we propose an agglomerative clustering algorithm with several effective pruning techniques to approximate the optimal solution. Experiments show that our algorithm can efficiently mine huge datasets (e.g., Wikipedia Infobox data) to generate good property table schemas, with which queries generally run faster than with triple stores and column-based databases.
Information on the web is tremendously increasing in
recent years with the faster rate. This massive or voluminous data
has driven intricate problems for information retrieval and
knowledge management. As the data resides in a web with several
forms, the Knowledge management in the web is a challenging
task. Here the novel 'Semantic Web' concept may be used for
understanding the web contents by the machine to offer
intelligent services in an efficient way with a meaningful
knowledge representation. The data retrieval in the traditional
web source is focused on 'page ranking' techniques, whereas in
the semantic web the data retrieval processes are based on the
‘concept based learning'. The proposed work is aimed at the
development of a new framework for automatic generation of
ontology and RDF to some real time Web data, extracted from
multiple repositories by tracing their URI’s and Text Documents.
Improved inverted indexing technique is applied for ontology
generation and turtle notation is used for RDF notation. A
program is written for validating the extracted data from
multiple repositories by removing unwanted data and considering
only the document section of the web page.
Presentation of the early prototype of "FAIR Profiles" - an example of the proposed DCAT Profile, proposed by the DCAT working group (but AFAIK never implemented). This prototype emerged from the activity of the "Skunkworks" group, from the Data FAIRport project.
Lecture Notes by Mustafa Jarrar at Birzeit University, Palestine.
See the course webpage at: http://jarrar-courses.blogspot.com/2014/01/sparql-rdf-query-language.html
and http://www.jarrar.info
The lecture covers:
- SPARQL Basics
- SPARQL Practical Session
eXTend DB. An embedded extensible document database. Extend with custom queries and object modifiers. Learn More ».
Morph DB. A Key-Value pair database. Allows fast in-place updates / object expansion. Learn More ».
Block Manager
An innovative library which manages on-disk blocks inside a file and provides a very simple interface to be used for variety of on-disk datastructures.
http://sscreation.net.in
Range query in P2P system is mainly made by establishing index, such as B+ tree or DST. However when the number of nodes in the system and the amount of data in a single node increases significantly, the above traditional index will become extremely large so it will affect the query efficiency. In the present, enterprises require effective data analysis when making some important decisions, such as user's consumption habits deriving from analyzing user data. This paper aims at optimization of range query in big data. This algorithm introduces MapReduce in P2P system and organizes files by P-Ring in different nodes. When making range query we use P-Ring to find the corresponding files and then search data in the file by B+ tree.
Drupal, CKAN and Public Data. DrupalGov 08 february 2016Steven De Costa
Main points from this presentation are:
DKAN is not CKAN
CKAN is owning Australian Government
Data.Vic, Data.NSW, Data.SA and Data.Brisbane use Drupal and CKAN together
Single Sign on – https://github.com/ckan/ckanext-drupal7
Taxonomies and CKAN - pulling from CKAN into Drupal to enhance content for Government websites.
Webforms to CKAN - for an 'open data' form collection process.
Resource Views for Drupal - configured for a CKAN portal and orgsanisation.
Telling stories with data...
A Novel Approach for Web Page Set Mining dannyijwest
The one of the most time consuming steps for association rule mining is the computation of the frequency of
the occurrences of itemsets in the database. The hash table index approach converts a transaction
database to an hash index tree by scanning the transaction database only once. Whenever user requests for
any Uniform Resource Locator (URL), the request entry is stored in the Log File of the server. This paper
presents the hash index table structure, a general and dense structure which provides web page set
extraction from Log File of server.
Vision Based Deep Web data Extraction on Nested Query Result RecordsIJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
The International Journal of Engineering and Science (The IJES)theijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
Create Linked Open Data (LOD) Microthesauri using Art & Architecture Thesaurus (AAT) LOD. View and manage options by a non-techy person. Everyone can use, create,
derive from, & map to AAT microthesauri and make the digital collection become LOD-ready dataset.
With the rapid development in Geographic Information Systems (GISs) and their applications, more and
more geo-graphical databases have been developed by different vendors. However, data integration and
accessing is still a big problem for the development of GIS applications as no interoperability exists among
different spatial databases. In this paper we propose a unified approach for spatial data query. The paper
describes a framework for integrating information from repositories containing different vector data sets
formats and repositories containing raster datasets. The presented approach converts different vector data
formats into a single unified format (File Geo-Database “GDB”). In addition, we employ “metadata” to
support a wide range of users’ queries to retrieve relevant geographic information from heterogeneous and
distributed repositories. Such an employment enhances both query processing and performance.
Relations for Reusing (R4R) in A Shared Context: An Exploration on Research P...andrea huang
Will the rich domain knowledge from research publications and the implicit cross-domain metadata of cultural objects be compliant with each other? A contextual framework is proposed as dynamic and relational in supporting three different contexts: Reusing, Publication and Curation, which are individually constructed but overlapped with major conceptual elements. A Relations for Reusing (R4R) ontology has been devised for modeling these overlapping
conceptual components (Article, Data, Code, Provence, and License) for interlinking research outputs and cultural heritage data. In particular, packaging and citation relations are key to build up interpretations for dynamic contexts. Examples are provided for illustrating how the linking mechanism can be constructed and represented as a result to reveal the data linked in different contexts.
Automating Relational Database Schema Design for Very Large Semantic DatasetsThomas Lee
Many semantic datasets or RDF datasets are very large but have no pre-defined data structures. Triple stores are commonly used as RDF databases yet they cannot achieve good query performance for large datasets owing to excessive self-joins. Recent research work proposed to store RDF data in column-based databases. Yet, some study has shown that such an approach is not scalable to the number of predicates. The third common approach is to organize an RDF data set in different tables in a relational database. Multiple “correlated” predicates are maintained in the same table called property table so that table-joins are not needed for queries that involve only the predicates within the table. The main challenge for the property table approach is that it is infeasible to manually design good schemas for the property tables of a very large RDF dataset. We propose a novel data-mining technique called Attribute Clustering by Table Load (ACTL) that clusters a given set of attributes into correlated groups, so as to automatically generate the property table schemas. While ACTL is an NP-complete problem, we propose an agglomerative clustering algorithm with several effective pruning techniques to approximate the optimal solution. Experiments show that our algorithm can efficiently mine huge datasets (e.g., Wikipedia Infobox data) to generate good property table schemas, with which queries generally run faster than with triple stores and column-based databases.
Information on the web is tremendously increasing in
recent years with the faster rate. This massive or voluminous data
has driven intricate problems for information retrieval and
knowledge management. As the data resides in a web with several
forms, the Knowledge management in the web is a challenging
task. Here the novel 'Semantic Web' concept may be used for
understanding the web contents by the machine to offer
intelligent services in an efficient way with a meaningful
knowledge representation. The data retrieval in the traditional
web source is focused on 'page ranking' techniques, whereas in
the semantic web the data retrieval processes are based on the
‘concept based learning'. The proposed work is aimed at the
development of a new framework for automatic generation of
ontology and RDF to some real time Web data, extracted from
multiple repositories by tracing their URI’s and Text Documents.
Improved inverted indexing technique is applied for ontology
generation and turtle notation is used for RDF notation. A
program is written for validating the extracted data from
multiple repositories by removing unwanted data and considering
only the document section of the web page.
Presentation of the early prototype of "FAIR Profiles" - an example of the proposed DCAT Profile, proposed by the DCAT working group (but AFAIK never implemented). This prototype emerged from the activity of the "Skunkworks" group, from the Data FAIRport project.
This presentation is the culmination of my detail to the E-Government Office in the US Office of Management and Budget and the work I did to evolve and mature initiatives like recovery.gov and data.gov.
An Efficient Annotation of Search Results Based on Feature Ranking Approach f...Computer Science Journals
With the increased number of web databases, major part of deep web is one of the bases of database. In several search engines, encoded data in the returned resultant pages from the web often comes from structured databases which are referred as Web databases (WDB).
A Novel Data Extraction and Alignment Method for Web DatabasesIJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
Key aspects of big data storage and its architectureRahul Chaturvedi
This paper helps understand the tools and technologies related to a classic BigData setting. Someone who reads this paper, especially Enterprise Architects, will find it helpful in choosing several BigData database technologies in a Hadoop architecture.
Part 4 of tutorials at DC2008, Berlin. (International Conference on Dublin Core and Metadata Applications). See also part 1-3 by Jane Greenberg, Pete Johnston, and Mikael Nilsson on DC history, concepts, and other schemas. This part focuses on practical issues.
Metadata: Towards Machine-Enabled Intelligencedannyijwest
World Wide Web has revolutionized the means of data availability, but with its current structure model , it is becoming increasingly difficult to retrieve relevant information, with reasonable precision and recall, using the major search engines. However, with use of metadata, combined with the use of improved searching techniques, helps to enhance relevant information retrieval .The design of structured, descriptions of Web resources enables greater search precision and a more accurate relevance ranking of retrieved information .One such efforts towards standardization is , Dublin Core standard, which has been developed as Metadata Standard and also other standards which enhances retrieval of a wide range of information resources. This paper discuses the importance of metadata, various metadata schemas and elements, and the need of standardization of Metadata. This paper further discusses how the metadata can be generated using various tools which assist intelligent agents for efficient retrieval
Metadata: Towards Machine-Enabled Intelligence dannyijwest
World Wide Web has revolutionized the means of data availability, but with its current structure model , it
is becoming increasingly difficult to retrieve relevant information, with reasonable precision and recall,
using the major search engines. However, with use of metadata, combined with the use of improved
searching techniques, helps to enhance relevant information retrieval .The design of structured,
descriptions of Web resources enables greater search precision and a more accurate relevance ranking of
retrieved information .One such efforts towards standardization is , Dublin Core standard, which has been
developed as Metadata Standard and also other standards which enhances retrieval of a wide range of
information resources. This paper discuses the importance of metadata, various metadata schemas and
elements, and the need of standardization of Metadata. This paper further discusses how the metadata can
be generated using various tools which assist intelligent agents for efficient retrieval.
I'm Muhammad Sharif Database administrator and Database system Engineer from SKMCHRC Lahore.
I am good in databases and Research in data science
This book title: database systems handbook was purely written by Muhammad Sharif.
Database management systems
Database systems handbook
#Muhammad Sharif
#Database_systems_handbook
Annotating search results from web databases-IEEE Transaction Paper 2013Yadhu Kiran
Abstract—An increasing number of databases have become web accessible through HTML form-based search interfaces. The data units returned from the underlying database are usually encoded into the result pages dynamically for human browsing. For the encoded data units to be machine processable, which is essential for many applications such as deep web data collection and Internet comparison shopping, they need to be extracted out and assigned meaningful labels. In this paper, we present an automatic
annotation approach that first aligns the data units on a result page into different groups such that the data in the same group have the same semantic. Then, for each group we annotate it from different aspects and aggregate the different annotations to predict a final annotation label for it. An annotation wrapper for the search site is automatically constructed and can be used to annotate new result pages from the same web database. Our experiments indicate that the proposed approach is highly effective.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.