I'm looking for a graphical browser for examining large networks of OWL/RDF instances. Protege's instance browser isn't really useful and if COE supports instance browsing, I've not discovered how. Network size is around a million nodes.
I'm hoping to be able to search for an instance, expand it to show its relationships, and explore other instances from there. Graphical would be nice, but a plain Jtree would do too.
The Tabulator project from the W3C is designed for browsing RDF data sets. It provides an add-in for Firefox, that may facilitate your explorations. it also has features to make your data browsable remotely using AJAX.
The MIT Simile project developed a faceted browser for RDF called Longwell. This was a research project. Development has now languished, and their demos seem to be broken; however, I can attest to the fact that it works. I use it regularly to browse an extremely miscellaneous collection of RDF instance data on my local machine.
Longwell is written as a Java web application. It comes with its own jetty server or can be run as a servelet. It can be run in memory, or with a variety of back-ends. It parses both rdf/xml and n3, and is highly configurable via velocity templates, css, and the 'Fresnel' RDF display ontology. It's a pity it hasn't been pursued further; I've found its ui to be very agreeable, and particularly useful is the fact that it will browse any RDF instance data you like, with or without schemas or ontologies.
Related
From the link :https://reviews.financesonline.com/p/alteryx/, I see the following details
Alteryx is an advanced data analytics platform intended to serve the
needs of business analysts looking for a self-service solution. It
contains 3 basic components: Gallery, Designer, and Server, which
blend data from external sources and generate comprehensive reports.
Each of them, however, can be used separately.
The software structures and evaluates data from multiple external
sources, and organizes it into comprehensive insights that can be used
for business deciding and shared with multiple internal/external
users. Basically, Alteryx is deploying data in a decentralized way,
and eliminating in such way the risk of underestimating it. At the
same time, Alteryx is well-integrated, easy to use, and ran both on
premise and in cloud.
Can anyone help me to know what is the text above in bold trying to explain. I am interested to understand it in details with some explanation.
The basic idea of is that the tool can blend just about any kind of data and dump the result to your own local extract... the local extract is "decentralized" in that, obviously it's local, and also you didn't need to rely on some core ETL team to build a process for you (which they would probably dump in a central location). The use of the term "underestimating" probably indicates that, if you're not building in your own insights (say you find something online that you can blend into your analysis), you're "underestimating" the importance of that data.
It's worth noting that your custom extract could be turned into a nightly job and the output could itself be dumped to a centralized database server if desired. So the tool can be used to build centralized assets too. It really just depends on how you're using it. (With Alteryx this would require either their Desktop Automation, or their Server.)
So... it seems that any self service data blending tool would be capable of the same. What's special about Alteryx? The distinguishing factors will lie elsewhere: number of data types supported, overall functionality and power, performance, built-in examples, ease-of-use, service, support, online community, and perhaps other areas.
I am building a new web app but i feel i don't have the big picture representation that I wish to have before building it so I am looking for resources to really understanding the web as whole throughout the full stack.
I've been a self-taught web developer since 2006 but I took a long break during university in 2010 and finished in 2014 and came out and the whole picture of web had changed.
I was familiar with the LAMP architecture and back then as long as you understood PHP, JavaScript, JQuery, MySQL, HTML & CSS you were fine; now MEAN is making a lot of noise and i just took a look at what Facebook is built with and it talks of HipHop which I have never heard of before and i feel quite lost with frameworks and languages popping out every other week.
I basically am looking for resources to understand the web as a whole, not just to create web pages so I can make informed decisions about building this and any other web app in the future. I want to know how all these new technologies are fitting into the picture.
Thank you
The big picture is you need a database, a data access layer that talks to that database, something to route the requests and something to display the result to the page.
There are lots of frameworks / technologies. IMO the LAMP stack is a bit old school. Not that it's not fit for purpose, it's just there are faster, better, easier stacks than that.
In terms of development languages and frameworks I would check out
Ruby-on-rails,
Spring-boot (with MVC, JPA, freemarker + mysql),
ASP.NET5
For databases mysql is always really popular because it's free. H2 is a free in memory database, I thinks it's a nice db to get up and running real fast.
Generally these days data access Is done through some sort of 'Object Relational Mapper' framework like Hibernate (if ur using Java), Linq (if ur using ASP.NET) or whatever ruby on rails uses.
For the view technology html, css is obviously standard but lately Bootstrap3 is really popular as a front end UI framework to make things a lot easier. In terms of Javascript, jQuery is basically a defacto standard these days. Something like Knockout.js or Angular.js provides nice data binding between your model and your view to make things a lot easier.
Not to mention as an extra layer these days people are also putting their apps inside Docker containers and deploying them that way for maximum portability. So that is something that is new and to you won't have seen before if you've been away from the game for a while.
Anyway, my favourite is the spring-boot stack. It has an embedded instance of the Tomcat web server and it comes all auto configured.
I believe the main changes that affected the course of current web development scenariois related to cloud based services, like Amazon AWS, Google Cloud, Microsoft Azure, and Virtual Private Servers (VPS).
Now is cheaper and possible to plan and develop a distributed environment to achieve a massive numbers of users. Servers are adapting their technologies to this new scenario and to providing easy webservices endpoints for mobile clients via REST APIs (like Google, Facebook, Soundcloud and almost every other service provider) using JSON for small data transfers between server ans clients.
This is the present and near future of web development. And we can no more close our eyes to mobile. Te mobile first era is comming.
You can use LAMP stack for webdevelopment, with or without frameworks like zend, cakephp and others, but the end product will be a REST or RESTfull service provider and a client to consume the services and integrate with many 3rdParties like Google, Yahoo, Facebook, Amazon services to build modern applications.
As for databases, there are now distributed non relacional noSQL hadoop, mongodb, mariadb bring more options to plan robust infra-structure and flexible ajustable for all needs.
To create a great web platform is necessary to know the existence of all this tools and possibilities, but specialize and deep learn only the tools you will choose to develop, because it is impossÃvel learn everything, our brain cant handle :) and all se em to update very fast in this area.
Choose right one is difficult, there is a lot of options, but the main concept will be always the same, there will be a provider and consumer fronts, distributed or non-distributed, and a multi layered development involving UI, integration, business and data (big data) manipulation. But now on the Cloud.
You can find good official material for Php, amazon webservices, nonSQL databases, common 3rdparty APIs like Google Apps, Facebook...REST clients end framework, JSON...and there is a lot of good alternative sources too...get some open-source project example on Github (GIT is another mandatory tool to learn).
I particulary develop in Java now, Linux/MySQL/Tomcat on amazon AWS infra-structure, using Java-JSP for server and web client, and Java for Android..I just have to deal with Java environments and one language for Server (webserver and SO programs) and clients (web and mobile) development.
Well I hope I could help, I dont know if this is exactly the answer also if I made it clear cause my english is basic...
Well, have a nice weekend.
Leo
I am developing a simple web app to help visualize the relationship between different terms.
neo4j is a great tool for managing the database but I need some tools to help me visualize the relationships for the users.
I looked at popular choices like sigmajs and three.js. However, they are not good at showing the types of relationships.
I realized that the web interface provided by neo4j itself is a good tool for visualization except for the small font size. But I don't know any way to use it in my own app(looks like it uses SVG which is okay for me).
Any good suggestions on good tools for visualizing the relationships or ways to "grab" the neo4j web interface for my own project?
I believe your man is Max de Marzi, he's the one working on visualizing neo4j data. In his tutorials he used vivagraph.js, d3.js, processing.js, sigma.js ...
Check out his website http://maxdemarzi.com/ and his github's https://github.com/maxdemarzi.
You could also have a look at the question Big data visualization using "search, show context, and expand on demand" concept.
I am a network administrator, former software engineer also.
I want to build my own program to keep track the IP, equipment and etc. Since our company has only only less than
100 equipments (including PCs, Printers), the data to process is small, can anyone suggest which language and platform suit my needs best ?
Hmm.. if it were me, I would do a mix of PHP and MySQL for the data backend (CRUD Operations) with HTML, CSS, and JavaScript for the front end UI. This would require Apache, MySQL, and PHP to be installed. These are available to any platform (Windows, OSX, Linux, etc.)
If its local for your use, just create an Access Database.
If web based, this is a fast and simple way ... xml based CRUD
Recently, I've become quite involved experimenting with lightweight grid frameworks (Hazelcast, Gigaspaces, Infinispan).
However, I've been somewhat surprised than none of the free frameworks I tried has any ACL or role based security features built in (Gigaspaces does have some measures).
What approaches are generally used to compensate for this? Am I supposed to only use the grid to share data between trusted server-side applications and use the traditional Java EE stack (i.e. a conventional DAO-layer) to access data from client or non-trusted server applications?
Are there any grid frameworks that provide ACL capabilities for accessing data in the grid (I'd be happy with some ad-hoc stuff, although complying to Java EE role concepts would be nice)?
This is my opinion on current state of open source distributed cache solutions (e.g. JBoss Cache and Infinispan). As a baseline I am using GigaSpaces commercial caching product. Let me know what you think about open source and proprietary cache products.
read more at: http://bigdatamatters.com/bigdatamatters/2009/09/infinispan-vs-gigaspaces.html