Entity Framework (EF) Documentation This page provides an index of videos, tutorials, and advanced documentation to help you make the most of Entity Framework. The following sections are included on this page. Past & Future Versions YAGO2 - D5: Databases and Information Systems (Max-Planck-Institut für Informatik) Overview YAGO is a huge semantic knowledge base, derived from Wikipedia WordNet and GeoNames. Currently, YAGO has knowledge of more than 10 million entities (like persons, organizations, cities, etc.) and contains more than 120 million facts about these entities. YAGO is special in several ways: The accuracy of YAGO has been manually evaluated, proving a confirmed accuracy of 95%. Every relation is annotated with its confidence value.YAGO combines the clean taxonomy of WordNet with the richness of the Wikipedia category system, assigning the entities to more than 350,000 classes.YAGO is an ontology that is anchored in time and space.
protobuf - Protocol Buffers - Google's data interchange format What is it? Protocol Buffers are a way of encoding structured data in an efficient yet extensible format. Google uses Protocol Buffers for almost all of its internal RPC protocols and file formats. An Absolute Beginner's Tutorial for understanding Entity Framework's Code First Approach in ASP.NET MVC Download source - 293.5 KB Introduction In this article we will discuss about entity framework code first approach. We will see what are the benefits of code first approach.
Named Entity Demo About the Named Entity Demo Named entity recognition finds mentions of things in text. The interface in LingPipe provides character offset representations as chunkings. Genre-Specific Models Named entity recognizers in LingPipe are trained from a corpus of data. The examples below extract mentions of people, locations or organizations in English news texts, and mentions of genes and other biological entities of interest in biomedical research literature. Ureadahead Ureadahead (Über-readahead) is used to speed up the boot process. It works by reading all the files required during boot and makes pack files for quicker access, then during boot reads these files in advance, thus minimizes the access times for the harddrives. It's intended to replace sreadahead.
Entity Framework Tutorial for Beginners Download source - 174.8 KB Introduction In this article, we will learn the basics of Entity Framework by creating a sample application. This tip is for the programmers who have some experience in creating ASP.NET applications, but are new to Entity Framework. Here I will explain: How to create an Entity Data Model Perform CRUD operations Use Stored Procedures
Entity Extractor SDK Finds People, Places, and Organizations in Text Big Text represents the vast majority of the world’s big data. Lying hidden within that text is extremely valuable information, unable to be accessed unless read manually—a challenge compounded when foreign languages are involved. This hidden data often comes in the form of entities—names, places, dates, and other words and phrases that establish the real meaning in the text. Rosette® Entity Extractor (REX) instantly scans through huge volumes of multilingual, unstructured text and tags key data.
Creating an Entity Framework Data Model The Contoso University sample web application demonstrates how to create ASP.NET MVC 5 applications using the Entity Framework 6 and Visual Studio 2013. This tutorial uses the Code First workflow. For information about how to choose between Code First, Database First, and Model First, see Entity Framework Development Workflows. The sample application is a web site for a fictional Contoso University. It includes functionality such as student admission, course creation, and instructor assignments.
GitSetup < Main < TWiki Git repositories allow for many types of workflows, centralized or decentralized. Before creating your repo, decide which steps to follow: Create A Local Repository If you will be working primarily on a local machine, you may simply create a git repo by using cd to change to the directory you wish to place under version control, then typing: I-FAAST – File Optimization Technology I-FAAST (Intelligent File Access Acceleration Sequencing Technology), a proprietary innovative technology developed and patented by Condusiv Technologies, is the leading solution that uses real data about each individual disk's performance to make intelligent decisions to speed up file access. Modern HDD drives have significant performance variances across their physical media. Third party tools can be used to benchmark the 2x and greater improvement that can be leveraged for read and write throughput, given that the most optimal disk areas are utilized for the most frequently accessed data. New developments in the I-FAAST technology has added the ability to intelligently and automatically assign the files being used to the right “media” (SSD or HDD) This is based on usage, how frequently and how recently the files have been used, and on the availability of the media itself.
ADO.NET Entity Framework: What. How. Why. I recently caught up with some of the technical minds behind ADO.NET's Entity Framework: Architect Michael Pizzo, Technical Lead Pablo Castro and Director of Program Management Britt Johnston. What's an Entity Framework, you ask? Well, watch and learn all about this new ADO.NET development framework/paradigm. For the ADO developers out there, you'll be quite pleased with the architectural direction ADO has taken. Enjoy. Lucene - Apache Lucene Core Apache LuceneTM is a high-performance, full-featured text search engine library written entirely in Java. It is a technology suitable for nearly any application that requires full-text search, especially cross-platform. Apache Lucene is an open source project available for free download. Please use the links on the right to access Lucene. Lucene offers powerful features through a simple API: Scalable, High-Performance Indexing