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I'm new to ontology, my requirement is to gather the Insurance domain concepts and relations between them and I'm using Protege to capture domain concepts. Now I have OWL file of insurance domain.
Now, I want to know what are the benefits I can get it from. I searched in the net and got to know that reasoning is a benefit.
Can OWL file be used in web application?
How far Ontology has significance over data base?
may be I'm wrong with the questions? Need guidance to better understanding of Ontology.
We have used GATE (General Architechture of Text Engineering), a text analysis tools for parsing OWL Files.
Here we had created OWL files for Medical Domain and run those over a set of corpus using OntoGazetteer, Onto Root Gazaetteer plugin and made annotations of texts. After these we have extracted those information for further use those with our structured (Database) and non-structured information (Documents) to link and made service available to public through web service.
Please take a look in - http://gate.ac.uk/sale/tao/splitch14.html#chap:ontologies for better understanding.
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This question is a little more generic, a brainstorm one. I'm about to develop a small website, and I still don't know if it’s better for me to store my “Text” (to fill Labels, Messages, etc) data on the Database or just on the frontend.
I know that for a fact, consulting the BackEnd Database is slower than just searching a specific file, but it’s also better to update the list later-on (when the website is developed) by just running a script.
I want to know some opinions, experiences, advantages and disadvantages about both.
Edit: For the technologies, i was thinking in using ExtJS with a Java Backend, I'm not quite sure about the BD yet.
Consider what data you are storing and the purpose of your website.
Advantages of front end storage: quicker
Advantages of database storage: more secure/structured
If your strings are sensitive then I would secure them in your database. Any client information, including "Text" data should be stored on the back end. If the strings are only relevant to you as the site owner then I don't see a problem with storing them on the front end.
Also perhaps specify which technologies you are using to build this site to get more specific responses.
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For a small start-up mobile app/website what options are there for storing its data? I.e. Physical server or cloud hosted data base such as azure.
Any other options or insight would be helpful thank you!
Edit:
For some background I'm looking at something that users could regularly upload data to and consumers could query to find results through an app or website.
I guess it depends on your work load and also on the your choice of data store. Generally, SQL based storage are costlier on cloud based solution due to the fact that those can be only vertically upgraded whereas no-sql ones are cheaper.
So according to me you should first decide on your choice of data-store, which depends on following factors:
The type of data; is your data structured or it falls under non-structured category?
Operations that you will perform on the data. Do you have any transactional use-cases?
Write/Read pattern; is it a read heavy use case or a write heavy one ?
These factors should help you decide on an appropriate data-store. Each database has its own set of advantages and disadvantages. The trick is to choose one based on your use cases and above mentioned factors.
Hope it helps.
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We've made this monitoring tool at our company.
It's not in our line of business so we might as well opensource the tool, and maybe someone else likes it as well, maybe they'll contribute.
The tool runs on AppEngine, so there are so the are some paths in the appengine configuration, that might be a good idea to keep hidden. Unless someone else wants to start using our appengine qouta.
Is there a best practice for open-sourcing AppEngine applications?
Does anyone have any experience to share regarding opensourcing appengine sites?
You can get some ideas from excellent gae-init. The way its working in order to avoid exposing sensitive information, is moving it in a stand alone project, you can even use gae-init for that ;)
As part of the model is a Config class which holds all the information as it concerns the service and its dependencies. There are some default values there but it can also be easily customized from a web interface called admin. Have a look.
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Would it be technically possible to build a pdf splitter on appengine or is there some part of it that couldn't be done? I was thinking of a function where you just upload the pdf file, choose which pages you want and the output is e.g. one chapter from a book and this can be done online. I think it can be a good service but I don't know whether it is technically feasible or whether the best choice first this would be Java, Python, PHP or Go?
I cannot see why not. Splitting a PDF should be possible in all 4 languages so it's up to you what you pick. I know that Python performs faster than Java. PHP doesn't sound like a good fit for me and Go isn't that widely used.
I'd go with Python. There is also a Python library that allows you to split a PDF.
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I'm working on a web application that is globalized. The development process is agile style, with several sprints already completed. Our globalization framework is good and localization efforts have been successful so far. However, we continue to run into questions during requirements development, particularly in data storage and validation requirements. I'm certain the questions we are wrestling with have been researched and solved many times and the answers are likely well known and documented somewhere. So far, I have been unable to find the compendium of information I'm looking for.
Here are some sample questions I'd like to find answers for:
What are the best practices for input, validation, storage and display of address information for a global application?
number of characters to store for address fields (Did you know there is a city name that contains 163 characters?)
validation of address data
What are the best practices for input, validation, storage and display of phone numbers for a global application?
Same question for a person's name?
So far, our approach to these issues has been to allow ample storage for the various fields and to perform minimal input validation, relying on the user to get it right. This approach is working OK at this stage in the project, but the various project stakeholders are not satisfied using this approach for the long term. There is a strong desire for clean data, efficient storage and attractive data presentation for all locales.
Any recommendations out there for books, papers or websites that have a fairly complete handling of these and related topics?
Lots of good information here.