DBpedia Member Features – In the coming weeks, we will give DBpedia members the chance to present special products, tools and applications and share them with the community. We will publish several posts in which DBpedia members provide unique insights. This week the Semantic Web Company will present use cases for the PoolParty Semantic Suite. Have fun while reading!
by the Semantic Web Company
About 80 to 90 percent of the information companies generate is extremely diverse and unstructured — stored in text files, e-mails or similar documents, what makes it difficult to search and analyze. Knowledge graphs have become a well-known solution to this problem because they make it possible to extract information from text and link it to other data sources, whether structured or not. However, building a knowledge graph at enterprise scale can be challenging and time-consuming.
PoolParty Semantic Suite is the most complete and secure semantic platform on the global market. It is also the ideal tool to help companies build and manage Enterprise Knowledge Graphs. With PoolParty in place, you will have no problems extracting value from large amounts of heterogeneous data, no matter if it’s stored in a relational database or in text files. The platform provides comprehensive tools for the management of enterprise knowledge graphs along the entire life cycle. Here is a list of the main use cases for the PoolParty Semantic Suite:
Data linking and enrichment
Driven by the Linked Data initiative, increasing amounts of viable data sets about various topics have been published on the Semantic Web. PoolParty allows users to use these online resources, amongst them DBPedia, to easily and quickly enrich a thesaurus with more data.
Search and recommender engines
Arrive at enriched and in-depth search results that provide relevant facts and contextualized answers to your specific questions, rather than a broad search result with many (ir)relevant documents and messages – but no valuable input. PoolParty Semantic Suite can be used to implement semantic search and recommendations that are relevant to your users.
Text Mining and Auto Tagging
Manually tagging an entire database is very time-consuming and often leads to inconsistent search results. PoolParty’s graph-based text mining can improve this process making it faster, consistent and precise. This is achieved by using advanced text mining algorithms and Natural Language Processing to automatically extract relevant entities, terms and other metadata from text and documents, helping drive in-depth text analytics.
Data Integration and Data Fabric
The Semantic Data Fabric is a new solution to data silos that combines the best-of-breed technologies, data catalogs and knowledge graphs, based on Semantic AI. With a semantic data fabric, companies can combine text and documents (unstructured) with data residing in relational databases and data warehouses (structured) to create a comprehensive view of their customers, employees, products, and other vital areas of business.
Taxonomies, Ontologies and Knowledge Graphs That Scale
With release 8.0 of the PoolParty Semantic Suite, users have even more options to conveniently generate, edit, and use knowledge graphs. In addition, the powerful and performant GraphDB by Ontotext has been added as PoolParty’s recommended embedded store and it is shipped as an add-on module. GraphDB is an enterprise-level graph database with state-of-the-art performance, scalability and security. This provides greater robustness to PoolParty and allows you to work with much larger taxonomies effectively.
A big thank you to the Semantic Web Company presenting use cases for the PoolParty Semantic Suite.
Yours,
DBpedia Association
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