PoolParty Semantic Suite
Learn more about the most comprehensive and secure Semantic Middleware in the global marketplace.
PoolParty Semantic Suite combines machine learning algorithms such as Deep Learning or Support Vector Machines (SVM) with Enterprise Knowledge Graphs to automatically classify text with targeted precision. This mixed approach increases F1 scores of the resulting document classifier by 1-3% compared to classifiers which rely solely on unstructured text.
PoolParty Semantic Suite offers powerful corpus analysis capabilities based on a combination of semantic and statistical models, which semi-automatically create and maintain Enterprise Knowledge Graphs on a large scale. As a result, PoolParty Semantic Suite supports taxonomists and subject matter experts in collaborating more efficiently, while keeping their Knowledge Graph up-to-date.
Entity Extraction and Semantic Enrichment
PoolParty Semantic Suite offers entity extraction services which support semi-automatic tagging and semantic enrichment, creating an additional class of metadata that further improves the discovery of content. In addition to this, PoolParty is able to recognize patterns in your data, which consists of various entities that are related to each other.
PoolParty Semantic Suite can make sense of any enterprise data source by enhancing information retrieval systems and semantic search. PoolParty Semantic Suite also analyzes textual documents to extract and determine the meaning of contained entities by linking them to a domain-specific knowledge graph.
Data Ingestion & Mapping
PoolParty Semantic Suite helps enterprises re-use their data as a basis for their Semantic AI applications. This Is done by harvesting data from different sources and of various formats to transform them into RDF, a standards-based graph data format for efficient data ingestion. Through schema harmonization, enterprises can start mapping their data objects for further use based on an enterprise ontology.
Validation & Data Quality Management
Using PoolParty Semantic Suite, enterprises can effortlessly run complex validity checks by linking data across silos. This then gives a 360 degree view of your complete data, helping to reveal anomalies not only across departmental data sets, but also within single data repositories.
PoolParty Semantic Suite lets you design ontologies at your own pace. It helps to create a highly expressive and flexible model of your company’s knowledge. Using PoolParty Semantic Suite you can reuse already existing ontologies such as Friend of a Friend (FOAF), Financial Business Ontology (FIBO), and schema.org.
Taxonomy Management & Card Sorting
PoolParty Semantic Suite offers a user-friendly taxonomy editor and card sorting tool to build and maintain your information architecture. It differs from other taxonomy management solutions because of its powerful technologies, such as: corpus analysis, import assistants and reporting tools.
Graph Data Management
The PoolParty Semantic Suite allows data scientists and domain experts to build and manage data graphs. Enterprises are able to easily connect and manage data from several graph databases using the PoolParty GraphEditor’s collaborative and flexible interface. A visual query editor also allows for knowledge graph exploration based on customisable views to edit specific parts of a knowledge graph.
Virtual Assistants and Recommender Systems
PoolParty Semantic Suite identifies the intent of your customer’s interactions based on an enterprise knowledge graph. As a result, your virtual assistants offer more accurate answers. PoolParty Semantic Suite also allows you to build a sustainable framework for automated recommendations to important stakeholders.
Semantic Search & Knowledge Discovery
Using semantic AI technology, PoolParty Semantic Suite provides enterprises with the capabilities of building intelligent search engines. Semantic content organization and semantic metadata are the key pillars to a successful semantic search. PoolParty Semantic Suite also offers the next generation of knowledge discovery. This is enabled by the fusion of graph-based search, recommendation and analytics over a variety of content types and business objects.
Your Cognitive Application
PoolParty Semantic Suite is domain agnostic and addresses a large variety of use cases and industries. Ranging from process automation, to call classification, skill matching and diagnostic error prevention; semantic technologies are future-proof and go beyond buzzwords and technology trends.
What is PoolParty Semantic Suite?
PoolParty Semantic Suite is the most complete and advanced semantic middleware platform on the global market. It uses innovative means to help organizations build and manage enterprise knowledge graphs as a basis for their AI strategy.
Enterprise Knowledge Graph Management
PoolParty Semantic Suite helps you create and edit enterprise knowledge graphs along the entire Linked Data Lifecycle. A knowledge graph is a rich representation of a knowledge domain that is capable of deriving more understanding out of your data. As a result, you will maximize the value and usage of your data even if it is stored in various data systems.
Text Mining and NLP
PoolParty Semantic Suite uses advanced text mining algorithms and Natural Language Processing (NLP) to automatically extract relevant entities, terms and other metadata from text and documents. An Enterprise Knowledge Graph provides additional value to traditional text mining technologies by adding facts about the extracted entities, helping to drive in-depth text analytics.
PoolParty Semantic Suite is based on supervised machine learning and supports the creation and management of Enterprise Knowledge Graphs in a highly automated way. It is used to break down data silos by linking data from various departments and organizations. PoolParty Semantic Suite helps enterprises to tackle challenges with data management and data integration in an orchestrated manner along the whole Linked Data Lifecycle.
Semantic AI Applications
Experience shows that AI initiatives often fail due to the lack of appropriate data. Using Semantic AI allows for the combination of thoroughly selected methods to solve common use cases such as classification and recommendation with high precision. An enterprise knowledge graph is the backbone of a semantic enhanced AI architecture, providing the means for high data quality and thus better Semantic AI applications.
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Awards and Recognitions
KMWorld 100 COMPANIES That Matter in Knowledge Management
KMWorld Trend-Setting Product of 2016, 2017 and 2018