25.10.2018 | News These features characterize Cognitive Search
Artificial Intelligence fundamentally changes the company-wide search. Previously limited to pure full text search, enterprise search solutions are increasingly able to "think along" through AI procedures. They become Cognitive Search systems that understand the intention behind a search. IntraFind, specialist for Enterprise Search and NLP (Natural Language Processing), names seven features that characterize a powerful modern search.
Natural Language Processing: Cognitive Search applications can process natural language search queries. Users receive matching results for complete question sets that begin with "who", "how", "what", "where" or "when".
Cognitive Recommendations: Machine Learning optimizes the order of search results. The structure of the hit lists is based on how often colleagues from the same department clicked on certain search results.
Semantic Networks: Relationships, links and hierarchies to search results are presented on the basis of graph databases. This makes it easier, for example, to find experts for specific topics in the company and to display additional information to the normal hit list in a knowledge graph.
Semantic Search: The search engine automatically suggests further relevant results and terms for a search entry. This makes users aware of information they may not have thought of when searching.
Entity Recognition: Rule-based procedures allow the identification of entities such as personal names, product names, locations and even entire text clauses. This makes it possible, for example, to find critical points in contracts in a targeted manner.
Topic Recognition: Machine Learning procedures make a depth analysis of texts possible and can thereby documents thematically seize and evaluate. On this basis the search machines can be extended by arbitrary topic-based search filters.
Search Profiles: Search results can be output person-related or user group-specific. By allowing certain documents or file types to be pushed up, the relevance of the results within a hit list increases.
"Cognitive Search enables companies to better evaluate complex holdings of structured and unstructured data. Your employees receive more relevant search results that are more precisely tailored to their individual areas of interest," says Franz Kögl, CEO of IntraFind. "But their benefit goes far beyond the search for information. Due to its capabilities it can also function as a content analytics and NLP platform and support numerous additional use cases. These range from chatbots to automatic incoming mail classification to automated monitoring of markets and trends".
