Introduction
XML has made a great impact on Internet information management and integration. These changes have brought out many big challenges for managing semi-structured XML data. XML document can be modeled as a tree with labeled nodes, which is different from Relational Data Model, thus how to manage XML data in its’ native way is a new challenge. All existing methods about XML data management can be classified into two categories, one is storing XML data into relational databases, and the other is designing and storing XML data into native XML Databases. Native XML database system has attracted many researchers’ attention since it can keep the tree structure of XML data, take nodes or sub-tree as storage unit. …………….
Some contemporary challenging R & D problems
The challenges of XML data management includes-
• how to manage XML data in its’ native way
• how to store XML data to support efficient query processing,
• how to update XML data,
• how to construct XML index and
• how to query matched results for a given query and so on.
Related Literature Review
Labelling Schemes is a key mechanism to identify the structural relationship between the nodes in the XML Tree. Apart from the Query processing, it also supports dynamic update of XML documents. There are different approaches likes static labelling schemes and dynamic labelling schemes. Since many update operations are performed on the XML documents, often it requires efficient dynamic labelling techniques. Dynamic labelling mechanism supports the update of XML data dynamically without re-labelling the existing labels. There are many dynamic labelling schemes exists till date in the literature and each has its own characteristic and advantages and disadvantages with...
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... node is parsed, measured and notified the time taken for each XML documents in various depths.
The lowest depth three with varying nodes takes an average time of 0.036 secs to label the nodes. The maximum time taken is 0.047 secs at 5Knodes. The minimum time is taken by 1K nodes with 0.02secs. The highest depth of twenty with varying nodes takes an average labeling time of 0.043secs. The maximum time is taken to label nodes with 5k nodes is 0.05 secs. The minimum time is taken to label 1K nodes is 0.03secs. This data shows clearly that the above statement confirms time measured for generating labels of nodes in various depths remains almost the same.
Proposed work plan for the next semester
As a future work we plan to extend NPLDX for efficient query processing and reducing the storage size further and will also perform more comparisons with existing schemes.
d_(i,j) , is the distance between nodes i and j, and ∝ is a parameter typically taking a value between 2 and 4.
Nuccitelli, R., Guerra, E. and Fernandes, C. (2010) “Parsing XML Documents in Java using Annotations”. In XML: Aplicações e Tecnologias Associadas, 8, Vila do Conde.
Information Systems Engineering Command (ISEC) personnel were briefed regarding several areas that were a concern to Task Force Mercury (TFM) personnel. ISEC is assisting TFM in ongoing Special Compartmented Information Facility (SCIF) projects for the Yongsan Relocation Program / Land Partnership Program (YRP/LPP). Areas of ISEC concern include security standards for SCIFs but also the obtainment of In Line Network Encryptors (INE)s. These items will be included in a future Augmentation to Table of Distributions and Allowances (AUGTDA) being prepared in support of new YRP/LPP requirements. ISEC personnel were also briefed on the future deployment of Common High Assurance Internet Protocol Encryptor (HAIPE) Interoperable Manager to Efficient Remote Administration (CHIMERA) in supporting the Secret Internet Protocol Router Network (SIPRNet) and the Combined Enterprise Regional Information Exchange System Korea (CENTRIXS-K) networks. They were also briefed on the possibility of the CHIMERA being used on the Joint Worldwide Intelligence Communications
Walmart is a retail giant that just about everyone in America has purchased something from them. It is a one stop shop for anything that a person could ever need. Walmart stores can be found anywhere in fact most people are less than an hour drive away from a Walmart store. Walmart’s success has put many companies out of business. The chains success is primarily from low prices and using an information technology system to meet customer demands giving them a competitive advantage. Walmart’s first major use of information technology came in 1975 when the company leased an IBM computer system to track inventory in warehouses and distribution centers. Computers have come a very long way since this time and are used almost everywhere. But in 1975 this was cutting edge technology and gave Walmart the competitive advantage over other retailers. Another thing that Walmart used to be revolutionary in their supply chain was the use of scanning barcodes in 1983. Before barcodes objects had to be read by a skilled cashier. With barcodes all that was needed was a quick scan and the computer would do all the work. This greatly sped up checkout time and made tracking inventory and data collection much faster and easier for both customers and the employees. Since this time it has become an industry standard for products.
Later, IBM developed its’ own version of DBMS and called it the Information Management System (IMS) DBMS. IMS eventually formed the structure for an alternative data representation framework called the hierarchical data model. This new system allowed several people to access the same data through a computer network.
Intro The business environment is very competitive. Consequently, companies need to offer customers efficient and reliable service. If they do not, customers will switch to more consumer efficient companies. Furthermore, as companies grow in size, it becomes harder to keep track of the growing amount of customer information. If a company does a poor job of organizing and maintaining customer records and data, it can result in problems for both the company and the consumer. This paper will focus on the Minnesota Mining and Manufacturing Company, more commonly known as 3M, and how it improved its customer service and reduced cost by improving its management information system. Sources consulted included business journals and websites with facts and case studies on 3M.
...sed for knowledge discovery, namely Upgrading and Rerouting. The process used involves identifying each resource as a component of a certain category based on the provided technical specifications. The name given to this process in Virtual Organization (VO) and it needs only limited information about the resources to make the decision. There are more than one VO’s and each handles different resources and share information about the resources controlled by each. When a request is made it is discovered which resource must be most suitable for the request and then the request is forwarded to the VO that is responsible for handling the said resource. The requesting process also enables the VO’s to update their knowledge of the available Grid resources using the discovery mechanism. The performance of both discover mechanisms, Upgrading and Rerouting are also discussed.
[7] Elmasri & Navathe. Fundamentals of database systems, 4th edition. Addison-Wesley, Redwood City, CA. 2004.
Inconsistently storing organization data creates a lot of issues, a poor database design can cause security, integrity and normalization related issues. Majority of these issues are due to redundancy and weak data integrity and irregular storage, it is an ongoing challenge for every organization and it is important for organization and DBA to build logical, conceptual and efficient design for database. In today’s complex database systems Normalization, Data Integrity and security plays a key role. Normalization as design approach helps to minimize data redundancy and optimizes data structure by systematically and properly placing data in to appropriate groupings, a successful normalize designed follows “First Normalization Flow”, “Second Normalization Flow” and “Third Normalization flow”. Data integrity helps to increase accuracy and consistency of data over its entire life cycle, it also help keep track of database objects and ensure that each object is created, formatted and maintained properly. It is critical aspect of database design which involves “Database Structure Integrity” and “Semantic data Integrity”. Database Security is another high priority and critical issue for every organization, data breaches continue to dominate business and IT, building a secure system is as much important like Normalization and Data Integrity. Secure system helps to protect data from unauthorized users, data masking and data encryption are preferred technology used by DBA to protect data.
Recursion can be savior at times- Actually will recursion whenever we deal with data structure related to linked list or xml for gener...
Definition. A path from node n1 to node nk is a sequence of nodes n1, n2, …, nk such that ni is the parent of ni+1 for 1 ≤ i < k. The length of a path is the number of edges in the path, not the number of nodes. Because the edges in a tree are directed, all paths are “downward”, i.e., towards leaves and away from the root. The height of a node is the length of the longest path from the node to any of its descendants. Naturally the longest path must be to a leaf node. The depth of a node is the length of the path from the root to the node. The root has depth 0. All leaf nodes have height 0.
This white paper identifies some of the considerations and techniques which can significantly improve the performance of the systems handling large amounts of data.
When planning to implement a document management system, there are many factors to consider. First you have to consider how you want to store your documents, be it electronic, paper format, or both; you have to have adequate storage space. Next you have to decide whether you are going to attempt to archive old documents your organization has in storage. A major factor in determining the format you are going to save your documents in is to decide the length of time you wish to keep you documents and the amount of space you have in which to keep your documents. If you are going to keep your documents in a paper format you have to keep in mind the amount of space it will take to store them. Another consideration when determining storage of your organizations documents is how you want to organize your documents be it chronologically or subject based, you need to decide what works best for your organization. And lastly you have to decide how you are going to take those old documents, created before computers, and turn them in to a format which can be stored electronically. There are many different formats which can be beneficial when keeping an archive of documents. There are many reasons why documents need to be managed. First and foremost they serve as a historical log of where your organization came from and they will help shape where your organization can go in the future. Documents can be a reference of how past projects were worked and offer practical solutions for issues which come up in all projects. Keeping documents can be beneficial for every organization, from keeping records to showing where the organization can go, documents play a part in the every day workings of every organization.
The Database Management System (DBMS) is software that enables the users to define, create, maintain and control the access to the database. It is a software that interact with the user’s applications programs and it database. Meanwhile, information retrieval system is a system that involved the activity that the systems obtain the information. The obtaining information action need the information from it resources.
Management information systems can be used as a support to managers to provide a competitive advantage. The system must support the goals of the organization. Most organizations are structured along functional lines, and the typical systems are identified as follows: