Profium Semantic Search goes beyond keywords by understanding the user’s intent and context to help you make better decisions and automate routines.
Our semantic search generates relevant results compared to traditional searches. Semantic search takes into account the context of search, location and the intent of queries to provide relevant search results. A built in monitoring feature will detect new results and alert users. Profium’s technology refines data into critical information in real time.
Natural language can be ambiguous, but Profium’s Semantic Search exposes the meaning behind the words. Rather than using ranking algorithms to predict relevancy, Semantic Search uses meanings to produce highly relevant search results. It provides you with instant answers to complex questions based on data gathered about users, metadata and other relevant information about your business domain. It helps you find the content you need reliably and quickly.
Profium Semantic Search is geared to work in the most demanding business and industrial environments.
TECHNOLOGY OF SEMANTIC SEARCH
Semantic Search incorporates Profium’s Rule Engine which is based on patented algorithm that is capable of inferencing over high throughput of concurrent transactions, inserts and delete operations in parallel.
Rule Engine supports custom rules as well as rule standards such as RDF Schema (RDFS) and Web Ontology Language (OWL). Using ontologies it is possible to enrich the metadata with for example equality expressions and cardinality restrictions.
The Rule Engine can be run against all incoming metadata as well as independently for smaller datasets with their own rule sets. The technology enables proactive information services where the users can be notified of relevant information before they have time to be active information seekers.
Profium Sense Semantic Search – Use case Employment exchange, HR, recruiting