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Semantic Data Fabric & Linked Data

A new solution to data silos

When data is isolated in one department or database and not available to an entire organization, employees have to spend a lot of time searching for information. These limitations are very costly to an organization because they affect internal workflow as well as customer experience, such as suggesting the most relevant results for their specific queries. The Semantic Data Fabric links the respective advantages of data lakes, data warehouses, and cloud-native data catalogs with text mining facilities and semantic graph technologies, which provide a solution to these disparate databases.

Use Linked Data and your Semantic Data Fabric based on the PoolParty Semantic Suite to manage all your digital assets in one place. PoolParty’s easy-to-use interface allows anyone from researchers to subject matter experts to update and link data with minimum training.

Gartner predicts that

“The cutting edge here is to use these semantic tools (increasingly enhanced with ML) in conjunction with a data fabric. In 2020, the PoolPArty Semantic Platform partnered with data.world to offer this powerful combination. Ensure language, vision and web/app activity share concept models and categories

Gartner Research on 2021 Strategic Roadmap for Enterprise AI: Natural Language Architecture

The biggest challenges for organizations who have not adopted the Semantic Data Fabric:

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Data silos

Most organizations collect and maintain their data in disparate data silos that inhibit other users in the organization from obtaining information. The obvious implication is that data is then left hidden or inaccessible when it could be very useful in making business decisions. As the amount of data within an organization increases, data silos only grow more outdated and inconsistent, ultimately hindering their ability to get deep insights.

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Diverse data

As roughly 80% of the data organizations produce is unstructured, it is safe to say that much of it comes in various channels and formats. The nature of this data means that it is incredibly difficult to manage because it requires different analytical processes per each document. A lack of standardization in terminology negatively influences how findable information can be in a search platform or database.

Useful Resources

Webinar: Learn more about Semantic Data Fabric and how to implement it with our webinar series.

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White Paper: Healthcare Information System to Australian Citizens using PoolParty Semantic Suite 

Check out our FREE HR recommender demo! With PoolParty you can build better recommendation systems.

The biggest changes organizations can leverage with PoolParty’s linked data management.

The strength of linked data corresponds to its ability to combine multiple data sources and transform them into a standardized database built on powerful knowledge graphs. With linked data, you can gain a unified view of all your data pertaining to a subject regardless of where the data came from.

Suppose you are an HR manager, for example, and you want to identify an appropriate salary for an upcoming position. You combine your internal database with CVs from Sharepoint and information you have pulled from the labor market. This data in its varying formats gets uploaded to the PoolParty Taxonomy Server and can be converted into a standard RDF format. As this format is machine readable, it can be conveyed nicely in a knowledge graph that allows you to get a comprehensive overview of the positions and salaries and make specific queries based on this information.

Experience the major benefits of semantic search with PoolParty Semantic Suite today.

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Hassle-free integration

Connecting data across disparate databases often relies on labor intensive data migrations that can hurt an organization’s existing infrastructure. Since PoolParty is a semantic middleware that links and integrates datasets by applying semantic knowledge models, organizations can avoid migrations altogether. Using linked data methods, you can combine all your data sources into one singular view.

Agile data management

Updating information in tabular spreadsheets is typically a time consuming, rigid process. With a semantic data model like a knowledge graph, you can link resources and business objects together much more flexibly. You can also enrichen your content and ultimately create more actionable data using automated tagging, which serves as the basis of smarter search applications.

Collaborative standardization

Data silos discourage collaboration and synergy between whole departments and individual employees. Linked data removes this possibility by storing all data and information in one place while also keeping the data and terminology standardized. Using a standard semantic RDF framework, you can build a long chain of interconnected statements that allows you to easily filter and assess data based on these connections.

Linked data through a joint partnership.

Driven by a joint passion for knowledge graph technology, data.world and PoolParty, two leading metadata management platforms, have teamed up to provide a powerful solution. Businesses that leverage both products will benefit from a highly scalable, standards-based, and user-friendly business solution that meets the requirements of enterprise data management and metadata management.