Best Text Analytics & Semantic Technology Solution

Recognizes the best solution for text data mining and semantic analysis. The winning solution will provide the most comprehensive set of tools and services to analyze structured and unstructured content whether privately held or publicly available.

CAAT 3.18 Text Analytics Software - Content Analyst Company, LLC

CAAT is a machine-learning text analytics engine extensively integrated into dozens of software applications serving the legal community for eDiscovery, Information Governance, contract lifecycle management, intellectual property management and information services. The company supports its network of OEM partners with a robust program including training, integration support, code reviews, marketing and more.

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    CODiE Winner

    Elsevier Text Mining - Elsevier

    Elsevier Text Mining enables the retrieval of highly specified information from unstructured content, providing more meaningful answers to complex research questions.

    Designed to support all life sciences researchers who need to rapidly retrieve answers from unstructured data, Elsevier Text Mining is an easy-to-use, cloud-based solution. It facilitates the discovery of novel insights and
    relationships within the huge volume of scientific content that is published every year, including abstracts, full-text articles, conference proceedings and grants.

    Superior retrieval of answers
    • Full-text searching as opposed to searching on citations and abstracts only
    • Comprehensive biomedical dictionary and taxonomy developed by life
    sciences experts
    • Superior performance at extracting entities and relationships

    User-friendly system
    • Cloud-based solution, easily deployed enterprise-wide
    • Easy-to-use interface - no informatics expertise required
    • World-class support from Elsevier experts and consultants

    Flexible system to suit users’ needs
    • Customizable to meet a variety of research needs
    • Integration of internal and third-party content possible
    • Alternate taxonomies and dictionaries also available

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    HPE Big Data Platform - HPE Vertica and HPE IDOL Enterprise - Hewlett Packard Company (HP)

    The HPE Big Data Platform is the industry's first comprehensive, scalable, open, and secure platform for big data. Core engines to address 100% of data, HPE Vertica and HP IDOL Enterprise transform data into actionable insights and delivers information at the right time to key stakeholders that need it, in an easy to digest format. HPE Big Data Platform is powered by two analytical engines:
    1. HPE IDOL Enterprise's key search functionality is conceptual search, which allows users to input a sentence or even a document as a query, since it can extract concepts without relying on keywords. Searching by concept leads to the most comprehensive result set because it can retrieve relevant documents that do not contain the query term(s) used. HPE IDOL provides additional basic and advanced search capabilities such as keyword retrieval, parametric retrieval, geospatial search, dynamic thesaurus and spelling correction.
    2. HPE Vertica delivers the most advanced SQL analytics as a standards-based relational database with full support for SQL, JDBC, and ODBC. This allows users to preserve years of investment and training in these technologies because all SQL programming tools and languages work together. HPE Vertica also includes a wide array of built-in analytical functions, including geospatial, time series, pattern matching, and more – and supports all leading BI and visualization tools.

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    Cogito - TEMIS/ Expert System

    Expert System’s flagship Cogito© platform is a strategic capability for Publishers. By automating the semantic enrichment of metadata, it helps boost editorial productivity, create innovative products, and deliver a compelling experience based on improved navigation, content recommendation, Linked Data, and analytics.

    At the core of Cogito is Sensigrafo, a linguistic knowledge graph containing millions of word definitions and relationships, that understands the meaning of words in context much the way people do. With Sensigrafo, Cogito can overcome language ambiguity and reliably recognize entities, relationships, topical categories and terminology to enrich content metadata.

    Cogito also includes Cogito Studio and Webstudio, a set of tools enabling users to manage the Sensigrafo as well as their own Thesaurus, Taxonomy or Ontology (TTO) while simultaneously governing how its objects are recognized and converted into metadata by Cogito. This makes it easy, for example, to preview how users’ ontology applies to content, to harvest terminology from documents, as well as to deliver a content recommendation engine based on Cogito’s semantic fingerprints.

    Thanks to a tight integration between these respective components, Cogito streamlines the operation of a semantic pipeline, enabling Publishers to add semantic intelligence to their products at a lower total cost of ownership and in a fraction of the time required with a disconnected workflow.

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