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High-accuracy Search ranks results by relevance and importance. GMG’s search engine exploits the particular structure of technical research articles, using title, abstract, keywords, full text, and references to achieve a 50% reduction in irrelevant results.
Hierarchical Ontology organizes content into familiar domain-specific topics and subtopics, providing a gateway to the domain for occasional users, and a familiar conceptual organization for experienced researchers.
Comprehensive Hyperlinking between articles, authors, subjects, patents, and other entities. The links are built automatically with GMG’s high-accuracy Content CrossLink system, incorporating advanced content analysis, matching techniques, and detailed linking rules.
Content Modules allow incorporation of new types of content. This allows the scope of the library to be expanded while maintaining the same unified interface. Content modules can include standards, people, patents, companies, organizations, related products, and other entities for which information is available.
Personalization features allowing users to save and track topics, people and articles of interest, with notification of relevant new content.
Advertisement Editor to allow banner ads or announcements to be created and associated with ontology nodes or keywords. Banners are displayed in response to relevant user searches or ontology browsing.
Creates and matches a fingerprint by aggregating and visualizing the key words and phrases of their academic, professional and co-authoring career.
The Experts Wizard application provides the institution with a detailed overview and profile of each researcher at the institution. The profile will consist of the researcher’s co-author network (internal and external), their CV, the Digital Fingerprint of the key concepts from their research publications.
The Review Wizard creates a Semantic Fingerprint that is made up of the aggregation and visualization of known key words and key phrases used by research institutions, grant funding bodies, publishers, researchers, editors, etc.
Scholarly publishers will use this application for the peer review process. The editor will be able to cut and paste the author’s manuscript into the search box and create a digital fingerprint that consists of the relevant key concepts. The Review Wizard will then present a result set of authors whose profile matches the key concepts of the submitted manuscript.
Research institutions will use this application to determine which research grants their research community should pursue. The university grant administrator will cut and paste the potential grant opportunity into the search box and create a digital fingerprint that consists of the relevant key concepts. The Review Wizard will then present a result set of authors whose profile matches the key concepts of the submitted manuscript.
Grant Funding Organizations will use this application to determine who within their organization is best equipped to review the submitted grant application. The Grant Funding administrator will cut and paste the grant application into the search box and create a digital fingerprint that consists of the relevant key concepts. The Review Wizard will then present a result set of internal reviewers whose profile matches the key concepts of the submitted manuscript.
The Repository Wizard is the industry’s first semantic search institutional repository application that features our Fingerprint and visualization capability. The Repository Wizard features an information dashboard of the corpus of data reflecting the diversity of the institutions proprietary and licensed content.
Famous Name Ontology
The Famous Name Ontology developed by NJIT and licensed exclusively by Gunter Media Group, Inc. is a very unique ontology that is able to discern the who’s who of famous people, from Michael Jackson the singer from Michael Jackson the Georgetown University basketball player.