to Any Database Avirup Sil∗ Temple University Philadelphia‚ PA avi@temple.edu Yinfei Yang St. Joseph’s University Philadelphia‚ PA yangyin7@gmail.com Abstract Existing techniques for disambiguating named entities in text mostly focus on Wikipedia as a target catalog of entities. Yet for many types of entities‚ such as restaurants and cult movies‚ relational databases exist that contain far more extensive information than Wikipedia. This paper introduces a new task‚ called Open-Database Named-Entity
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Amazon.com is developing a system to gather and keep massive amounts of intimate information about its millions of shoppers‚ including their religion‚ sexual orientation‚ ethnicity and income. The database‚ which would combine information disclosed voluntarily by customers with facts gleaned from public databases‚ conceivably would give Amazon a larger or more detailed profile of its customers than any other retailer. The Seattle-based company‚ with 59 million active customers‚ said it has no immediate
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of normalizing a database can help to organize data more efficiently by minimizing redundancy and providing more accurate records. During the process‚ column and field names are consolidated into more specific ones to avoid repetition of data. In many cases‚ tables are divided into two or more tables and linked via a relationship using their Primary Keys and/or Foreign Keys. The main goal is to allow each table to be updated individually without directly affecting the information contain within
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ISM 6215 - Business Database Systems I Fall 2013 Home Work – 1 (Marks 100) Question 1 - Contrast the following terms. Give one example of each 1. Degree versus cardinality of relationship 2. Required versus optional attributes 3. Data dependence versus data independence 4. Structured versus unstructured data (4*2.5 =10 marks) Answer 1 - Degree; cardinality. The degree (of a relationship) is the number of entity types that participate in that relationship‚ while cardinality is a
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Key concepts Let me start by naming a few of the most important concepts in relational database design. A basic understanding of these will be required to understand the rest of the article. * Primary Key (PK) A column with a unique value for each row. Although not all database management systems (DBMS) require you to put a PK into each table‚ from a design perspective a PK is a requirement. No table should be without one. * Foreign Key (FK) These define relationships between tables. When
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Migration of Databases – An XML Approach XML Database Migration is a project of migrating the existing databases into XML format. Conversion of databases to XML file format‚ the databases like Ms-Access‚ Oracle and MS-SQL‚ MySQL connects in the network or the oracle in the personal computer can be connected for the generation of XML code. Let us consider‚ user runs a firm with three companies with different database’s respectively. User planned to mingle the entire database’s of the firm in to
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PubMed and Google Scholar are two different databases used for searching articles on online. PubMed are mostly used for biomedical and clinical journals. The data information are organized based on the date‚ author‚ tittle and type of article. This made it easier to search and retrieve journal articles faster. PubMed have an advance function like MeSH term subheading but Google scholar lack MeSH function (Jean-François‚ Laetitia‚ & Stefan‚ 2013). Also‚ the content of the articles on PubMed are
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of graduate studies &research Information technology department Database systems Report on: (Comparison between Relational database & object oriented database) By: Mohammed Hussein Mahmoud Mustafa khedr To: Dr. Saad Darwish Introduction A database is a means of storing information in such a way that information can be retrieved from it. Thus a database is typically a repository for heterogeneous but interrelated pieces of information. Often a database contains more than one table. Codebooks
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1. MySQL is the world’s second most widely used open-source relational database management system (RDBMS). It is named after co-founder Michael HYPERLINK "http://en.wikipedia.org/wiki/Michael_Widenius"Widenius’s daughter‚ My. The SQL phrase stands for Structured Query Language. The default port of Mysql is 3306. The MySQL development project has made its source code available under the terms of the GNU General Public License‚ as well as under a variety of proprietary agreements. MySQL was owned
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DISTRIBUTED DATABASE MANAGEMENT SYSTEM A distributed Database Management System (DDBMS) is a database in which storage devices are not all attached to a common processing unit such as the CPU. It may be stored in multiple computers‚ located in the same physical location; or may be dispersed over a network of interconnected computers. Unlike parallel systems‚ in which the processors are tightly coupled and constitute a single database system‚ a distributed database system consists of loosely coupled
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