This report surveys the state of semantic web storage for RDF / triple data using existing free software tools. It takes a practical approach by targeting the work to the needs of developers, answering frequently asked questions related to this subject. The report first reviews previous work in surveying semantic web data, schema and triple stores, then gives an overview of the major systems with their feature set and maturity and then uses that information to provide a set of FAQs with answers related to storing semantic web data.
Features Crescent city drummers such as Vernel Fournier, Baby Dodds, Ed Blackwell, James Black, Joseph "Smokey" Johnson, and David Lee. DCI Video Transcription Series. Johnny Vidacovich, Herlin Riley, Dan Thress
(ISBN 0 9627418 7 6) Sceptics about nootropics ("smart drugs") are unwitting victims of the so-called Panglossian paradigm of evolution. They believe that our cognitive architecture has been so fine-honed by natural selection that any tinkering with su
3store is an RDF "triple store", written in C and backed by MySQL and Berkeley DB. It is an optimisation and port of an older triple store (WebKBC). It provides access to the RDF data via RDQL or SPARQL over HTTP, on the command line or via a C API.
YARS is a data store for RDF in Java and allows for querying RDF based on a declarative query language, which offers a somewhat higher abstraction layer than the APIs of RDF toolkits such as Jena or Redland.
Why does your application run so slowly? I bet you think it's the algorithms or the fact that you are starting all your services instead of using extension points. It runs so slowly because there is a fat man sitting on it. No one can run fast when they are carrying that much dead weight.
In this introductory paper—which follows the course of the papers included in this special issue—we argue that there are currently four main apprehensions of performance. The first of those apprehensions is provided by the work of Judith Butler on performativity. We then move to a second apprehension—the rather more general notion of performance found in nonrepresentational theory, using as an example the work of Gilles Deleuze. The third apprehension of performance is that taken from work found in the discipline of performance itself. Then, the fourth apprehension concerns the reworking of academic practices as performative.
The best benchmark for a piece of graphics hardware is your own actual application, not some marketing benchmark number claimed by some hardware vendor hyping their own hardware.
If you have a busy PostgreSQL or MySQL database application, you might want to analyze the queries to see if they can be improved. Here's a little utility to help with that.
<p>Se você enfrenta problemas de lentidão, baixa performance ou pouco desempenho do seu servidor moodle, então você deve ler esse artigo técnico. Descrevo algumas alterações que melhoram a experiência do aluno através de um site mais rápido.</p>
Varnish is a state-of-the-art, high-performance HTTP accelerator. It uses the advanced features in Linux 2.6, FreeBSD 6/7 and Solaris 10 to achieve its high performance.
Cython is a language that makes writing C extensions for the Python language as easy as Python itself. Cython is based on the well-known Pyrex, but supports more cutting edge functionality and optimizations.
Pagination is used very frequently in many websites, be it search results or most popular posts they are seen everywhere. But the way how it is typically implemented is naive and prone to performance degradation. In this article I attempt on explaining the performance implications of poorly designed pagination implementation. I have also analyzed how Google, Yahoo and Facebook handle pagination implementation. Then finally i present my suggestion which will greatly improve the performance related to pagination.
scale user images
AND use the picture field to flag, if the user gets standart image instead of his own. is set in settings. initial by hand.
reduce standart pictures constrasts
rformance can be better if changes to the database are batched: turn off autocommit; add multiple SQL statements using the Statement.addBatch() method; execute Statement.executeBatch().
The Java Application Monitor (JAMon) is a free, simple, high performance, thread safe, Java API that allows developers to easily monitor production applications. * JAMon can be used to determine application performance bottlenecks, user/application intera
Beyond resisting the destruction & degeneration of the brain there looms also the possibility of regeneration & perhaps even augmentation. The "Smart Drug Movement" implies that this is possible -- and possible now. Here I review the subject of "Smart Dru
Jawr is a tunable packaging solution for Javascript and CSS which allows for rapid development of resources in separate module files. Developers can work with a large set of split javascript files in development mode, then Jawr bundles all together into one or several files in a configurable way.
By using a tag library, Jawr allows you to use the same, unchanged pages for development and production. Jawr also minifies and compresses the files, resulting in reduced page load times.
If web architectures, performance, or scalability are topics you would like to keep on top of (who doesn't!), then chances are, you've heard of Nginx ("engine x"). Originally developed by Igor Sysoev for rambler.ru (second largest Russian web-site), it is
You want your Ubuntu desktop to be more responsive? It will take less than a half hour to perform all these tweaks. These tweaks will make your system faster and more responsive without a doubt. Read on to perform the tweaks and enjoy your faster system.
Does your SQL statement have a WHERE clause? I know this sounds obvious, but don't retrieve more data than you need. However, less obvious is that even if your SELECT statement retrieves the same quantity of data without a WHERE clause, it may run faster
Google Maps, Yahoo! Mail, Facebook, MySpace, YouTube, and Amazon are examples of Web sites built to scale. They access petabytes of data sending terabits per second to millions of users worldwide. The magnitude is awe-inspiring. Users view these large-scale Web sites from a narrower perspective. The typical user has megabytes of data that are downloaded at a few hundred kilobits per second. Users are not so interested in the massive number of requests per second being served; they care more about their individual requests. As they use these Web applications, they inevitably ask the same question: "Why is this site so slow?" The answer hinges on where development teams focus their performance improvements. Performance for the sake of scalability is rightly focused on the back end. Database tuning, replicating architectures, customized data caching, and so on allow Web servers to handle a greater number of requests.
James Hamilton has published a thorough summary of Facebook's Cassandra, another scalable key-value store for your perusal. It's open source and is described as a "BigTable data model running on a Dynamo-like infrastructure." Cassandra is used in Facebook as an email search system containing 25TB and over 100m mailboxes. # Google Code for Cassandra - A Structured Storage System on a P2P Network # SIGMOD 2008 Presentation. # Video Presentation at Facebook # Facebook Engineering Blog for Cassandra # Anti-RDBMS: A list of distributed key-value stores # Facebook Cassandra Architecture and Design by James Hamilton
Whole-program optimization is a compilation technique in which optimizations operate over the entire program. This allows the compiler many optimization opportunities that are not available when analyzing modules separately (as with separate compilation). Most of MLton's optimizations are whole-program optimizations. Because MLton compiles the whole program at once, it can perform optimization across module boundaries. As a consequence, MLton often reduces or eliminates the run-time penalty that arises with separate compilation of SML features such as functors, modules, polymorphism, and higher-order functions. MLton takes advantage of having the entire program to perform transformations such as: defunctorization, monomorphisation, higher-order control-flow analysis, inlining, unboxing, argument flattening, redundant-argument removal, constant folding, and representation selection. Whole-program compilation is an integral part of the design of MLton and is not likely to change.
New Relic is the only dashboard you need to keep an eye on application health and availability while monitoring real user experience. Complete visibility anytime you want it.
A better approach is to parse the XSLT stylesheet into memory once, compile it to machine-format, and then preserve that machine representation in memory for repeated use. This is called stylesheet compilation and is no different in concept than the compilation of any programming language.
S. Abass, S. Ahmed, S. Makki, und N. Osman. International Journal of Computer Science and Information Technology (IJCSIT), 10 (1/2):
01 - 15(Juni 2021)