To help companies understand which technologies are most likely to pay off, Gartner Hype Cycles provide a graphic representation of the maturity and adoption of technologies and applications, and how they are potentially relevant to solving real business problems and exploiting new opportunities.
PoolParty Semantic Suite – the best and most versatile data enrichment and analysis software on the market – was named as a sample vendor for 3 natural language processing technologies in the 2020 Gartner Hype Cycle for Natural Language Technologies. Here are the technologies:
Ontologies
Ontologies and graphs allow users to model a set of concepts. They are often a component of broader hybrid AI systems and are used in different NLT markets: speech to text, insight engines, text mining, conversational systems and natural language generation.
PoolParty Semantic Suite enables users to design knowledge graphs at their own pace and with speed. It allows them to create their own ontologies and custom schemes by reusing already existing ontologies such as FOAF, FIBO, schema.org and CHEBI, among others.
Semantic Search
Advances in knowledge graphs and word embedding enable meaning to be processed reliably in the workplace. For this reason, semantic search has become a more reliable and widespread technology.
PoolParty Semantic Suite has everything companies need to build their own semantic search engine, including a ready-to-use and highly configurable graphical user interface. Search applications rely on solid knowledge graphs and professional metadata management. This combination enables semantic intelligence – the foundation for smarter search functionalities that work.
Text Autoclassification
Text autoclassification includes a range of techniques that automatically associate metadata with text to enrich the text’s content. The metadata — usually keywords drawn from a taxonomy or ontology — facilitates the selection, analysis and automated processing of the texts.
PoolParty Semantic Suite platform is transforming the way in which companies collect, analyze, reuse and share data. Its PowerTagging feature combines semantic search and artificial intelligence technologies to understand the meaning of documents and classify them in intelligent ways. Based on this classification, relationships between documents and also with information on the World Wide Web are established and can be presented to the user.
