Machine learning has become of utmost importance for businesses or industries as websites and online transactions have emerged. Among the advancements and software developments like web designing or e-commerce platforms, the semantic web also came up with demand.
If your business hasn’t yet stepped into the world of data linking and global sharing, you are probably weighing out the possibilities of rapid business expansion. Check out the following tools that are now essential and ensure them for the proper development of linked data sources.
Data editing tools
While we designate identities to various objects, our data or HTML markup should also connect them for logical understanding. The machine should decipher the link between different objects and comprehend an ontology to connect relevant sources.
You can access NeOn, Neologism, VOWL, or Protege for developing ontology. Additionally, tools like Geany, MarkEdit, or oXygen are efficient in editing programmed scripts to proper XML format.
Extracting and searching tools
Once your data document or page launches on the web, it needs to search and connect with other pages to link similar UI objects. Querying tools like OpenLink Data Explorer Extension, OpenLink Structured Data Sniffer, or Linked Data Fragments can help hunt relevant nodes through the browsers and search engines.
We usually launch web data documents in HTML markup or CSS formats that need validation for proper machine understanding. The validators help cross-check the links, terms, web-references, and objects mentioned in the documents before linking them to other external resources.
It helps recognize the proper UIs for the objects and connect better. You can find JSON validator, Structured Data Linter, Validome XML validator, or RDF validation service tools.
All our machines and data page development languages aren’t uniform worldwide. Then how will the world wide web connection and understand all? Thus, even if we write programming scripts and markup pages, we need converting tools to translate them.
Usually, the web representation requires HTML, JSON, or XML files against those in programmed languages like Java, Python, or Ruby. You can find several tools like Freeformatter for JSON and XML interconversion, Pandoc to get HTML formats, and SearchFAST to convert into FAST headings. These tools have extensive libraries and are compatible with various computer-level languages to convert them into a universal web script.
Overall data management tools
Once linked and out on the open web, your page constantly collects data to analyze and decipher. The machine thus needs efficient data management tools to organize, categorize and read to act in all possible instances.
You can find tools like Callimachus, Datahub, Fedora, Jupyter, or Wikibase with the splendid collection and representation features. You can create, modify, statistically analyze and arrange your data for better understanding.
Authorizing and assessing tools
Webpage security is very crucial to secure your resources and obtain data from other pages that are also secured. Authorizing tools can help establish a robust connection to protect your web page in the pool of online resources. You can find many resources like Authority toolkit, Open Data Certificate, Luzzu, and LODQuator for better designing and authorizing.