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RCO products are designed to support various usage patterns where advanced search and analysis of unstructured data is critical: in full-text databases, information retrieval and business intelligence systems.
All products listed below support Russian language only.
RCO products for Ukrainian language can be accessed at website of our partner in Ukraine.
English versions are available upon request.
RCO for Oracle
RCO for Oracle is the only product on Russian market that significantly extends native Oracle's ability to process full-text databases in the Russian language. Product is addressed to Oracle ISVs and developers.
RCO for Oracle features the following technological stack: grammatical and statistical text analysis, categorization, clustering, summarization, fuzzy search.
More information is available here (in Russian).
RCO for MS BackOffice
RCO for BackOffice offers a Russian stemmer implementation for Microsoft BackOffice server products family ( SharePoint Portal, Indexing Service, Exchange Server and SQL Server) making this way the maintenance of full-text databases containing Russian text much easier. Also RCO for BackOffice contains SDK including: "google-like" query engine to MSSEARCH query translator, context-based summarizer and IFILTER wrapper.
More information here (in Russian).
RCO Morphology SDK
Addressed to developers, RCO Morphology SDK features following functions: word lemmatization, word expansion with all grammar forms.
Professional edition also supports word grammar attributing and synthesis of required grammar forms.
More information here (in Russian).
RCO Pattern Extractor SDK
The product performs entity extraction out of unstructured text according to patterns specified using the formal language.
Its typical usage pattern includes extraction of such entities as dates, addresses, ID numbers, sums and amounts.
More information here (in Russian).
RCO Semantic Entity Extractor SDK
Performs extraction of the following types of named entities: persons, companies, goods, locations, common names such as artifacts, events, features etc.
Also supports all functions of RCO Pattern Extractor SDK.
Many customers consider this product as a basis for building semantic indexing, text categorization and summarization solutions.
More information here (in Russian).
RCO Fact Extractor
RCO Fact Extractor performs fact extraction from an unstructured text. One of most common usage scenario is to setting up a list of target objects (persons, companies) and extract all events where these target objects are mentioned as participants. The key features of the fact extraction engine are event classification and assigning roles to all participants. RCO Fact Extractor is successfully used in business intelligence solutions that require high-precision information extraction such as "dossier" update or monitoring of target object activities.
RCO Fact Extractor supports the following types of facts: meetings, agreements, financial operations, economical status and many others.
More information here (in Russian).
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