Papers by Anthony Prestigiacomo
Associative Relevancy USPTO Patent 12182734, 2024
USPTO Class 706/46 - Artificial Intelligence Knowledge Systems, Reasoning engines.
Describes clai... more USPTO Class 706/46 - Artificial Intelligence Knowledge Systems, Reasoning engines.
Describes claims for multi-dimensional domain frameworks, concept containerization networks with conceptualization and perspective generation for creating new knowledge, learning, and reasoning systems incorporating various third-party processing systems including AI, ML, analytics, user knowledge selection capture, and more.
Grant Proposal NIST Advanced Technology Program, 2001
Overview. As the nation's health care system enters the 21 st century, increasing awareness of em... more Overview. As the nation's health care system enters the 21 st century, increasing awareness of emerging industry trends incorporating the patient as an informed partner in personal and community health issues are subsequently exposing the need to improve information infrastructure normalization and accessibility for health system interactions. Broad information technology trends towards Internet economies and XML data standards are also driving the normalization of diverse data systems, while over 60 biomedical vocabularies express specific knowledge domain applicability and information capabilities. Successful exploitation and leveraging of these trends can reduce health care costs by increasing population health awareness involvement and improving the productivity and quality of care delivery, thereby leveraging national economic and workforce productivity. Realization of these goals can be extensively enhanced by development of advanced "drill-through" biomedical knowledge representation architectures capable of incorporating data resources and vocabularies into domain, group and user interaction perspectives. These knowledge applications will normalize and associate health system information resources, processes, workers and patients into dimensional structures for optimized knowledge perspective representation and navigation. Problem Statement. Deploying such sophisticated knowledge applications will require understanding the knowledge model dimensional relationships between component hierarchies, including structural dimensionalities, commonalities, granularities and computational complexities for optimal application performance. Aggregate meta-modeling of these relationships requires new approaches to identify and rank associative comprehensibility of model architectures for optimized knowledge application product development. AAFAXIS has developed technology and architectural approach specifications for modeling biomedical informatics vocabularies as meta-models normalizing and associating the processes, resources, workers and users characteristics within specific health industry application domains. To validate optimum knowledge application architectures and fund the corporation for product development, AAFAXIS must have a clear understanding of optimum model configurations within large-scale associative relevancy discriminatory sets currently well beyond existing modeling tools. This research proposal to the National Health Information Infrastructure focus area of the Advanced Technology Program at the National Institute of Standards and Technology, United States Department of Commerce describes the background and applied research plan for biomedical knowledge modeling study, introduces the investigative team and research subcontractors , and discusses the potential economic impact of project success attainment levels. Background. Biomedical knowledge architectures like NIH MeSH and UMLS map the broad upper conceptual layers of biomedical vocabularies and terms into prospective meta-model knowledge schemata. Unfortunately, the resulting model schemata exhibit limited associative knowledge representation characteristics and detail capacities structurally insufficient to support the granularity requirements of complex knowledge representation architectures. Advanced knowledge architectures are extended by expressing the lower conceptual layers and definitions of the vocabulary schemata incorporated within candidate models, increasing the granularity and precision of conceptual knowledge model associative dimensionality. However, the complexity and computational density issues involved in modeling candidate knowledge schemata potentially containing diverse information resources against the associative hierarchal granularity of various biomedical vocabulary schemata components limits our ability to investigate and optimize potential meta-model architectures.
Grant Proposal Executive Summary, 2006
The 21 st century holds high promise for broad improvements in the basic human condition through ... more The 21 st century holds high promise for broad improvements in the basic human condition through effective curation and validation of the continuous advances in life sciences and health care. Successful sequencing of the human genome has opened the door to achieving the wonders of the future, placing humanity on a journey of discovery to new worlds of biomedical research and health care services beyond the horizon of our imagination.
ASSOCIATIVE RELEVANCY KNOWLEDGE PROFILING ARCHITECTURE , SYSTEM , METHOD , AND COMPUTER PROGRAM PRODUCT, 2022
This patent expands and specifies claims for multi-dimensional concept networking and conceptuali... more This patent expands and specifies claims for multi-dimensional concept networking and conceptualization frameworks with user/group Profiling supporting Assistive Learning/Reasoning to the Associative Relevancy portfolio family.
Provided are architectures , system , methods , and computer
program products that provide a user with the ability to
define an association of data and / or information from known
reference sets perceived by the user as relevant to a subject
matter domain , thereby imparting and formalizing some of
the user's knowledge about the domain . An associative
relevancy knowledge profiler may also allow a user to create
a profile by modifying or restricting the known reference
sets and windowing the results from the association as a user
might refine any other analysis algorithms . An associative
relevancy knowledge profiler may also be used to define a
user profile used by the user and others . A user profile may
be usable in various manners depending upon , for example ,
rights management permissions and restrictions for a user
National Science Foundation Grant Proposal, 1994
AIMS: A Democratically Accessible Advanced Information Management System
Conceptual Biology Research Supporting Platform: Current Design and Future Directions, 2008
Conceptual biology utilizes a vast amount of published biomedical data to enhance and speed up bi... more Conceptual biology utilizes a vast amount of published biomedical data to enhance and speed up biomedical research. Current computational study on conceptual biology focuses on hypothesis generation from biomedical literature. Most of the algorithms for hypothesis generation are dedicated to produce one type of hypothesis called pairwise relation by interacting with certain search engines such as PubMed. In order to fully realize the potential of conceptual biology, we designed and implemented a conceptual biology research support platform that consists of a set of interrelated information extraction, mining, reasoning, and visualizing technologies to automatically generate several types of biomedical hypotheses and to facilitate researchers in validating generated hypotheses. In this chapter, we provide detailed descriptions of the platform architecture, the algorithms for generating novel hypotheses, and the technologies for visualizing generated hypotheses. Furthermore, we propose a set of computational procedures and measures for evaluating generated hypotheses. The experimental analysis of the proposed hypothesis generation algorithms is also presented.
US20090083208A1 System method and computer program product for data mining and generating hypotheses, 2009
Various embodiments of the present invention provide systems, methods, and computer programs for ... more Various embodiments of the present invention provide systems, methods, and computer programs for generating a hypothesis. Specifically, some method embodiments include steps for accessing a system for extracting relationships and determining a relationship rule defining a relationship among a plurality of phrases and a plurality of concepts stored in the system for extracting relationships. Such embodiments further provide steps for parsing a plurality of documents in a data repository according to the relationship rule and generating a hypothesis comprising a previously unknown combination of phrases and concepts being at least partially determined from the parsed plurality of documents. Various embodiments also provide a step for presenting the hypothesis to a user so as to indicate the previously unknown combination
ASSOCIATIVE RELEVANCY KNOWLEDGE PROFILING ARCHITECTURE , SYSTEM , METHOD , AND COMPUTER PROGRAM PRODUCT, Apr 15, 2016
Provided are architectures , system , methods , and computer program products that provide a user... more Provided are architectures , system , methods , and computer program products that provide a user with the ability to define an association of data and / or information from known reference sets perceived by the user as relevant to a subject matter domain , thereby imparting and formalizing some of the user's knowledge about the domain . An associative relevancy knowledge profiler may also allow a user to create a profile by modifying or restricting the known reference sets and windowing the results from the association as a user might refine any other analysis algorithms . An associative relevancy knowledge profiler may also be used to define a user profile used by the user and others . A user profile may be usable in various manners depending upon , for example , rights management permissions and restrictions for a user.
College & Research Libraries News
Provenance Journal of the Society of Georgia Archivists, 2014
As society and scientists wrestle with concerns and uncertainly over global climate change, this ... more As society and scientists wrestle with concerns and uncertainly over global climate change, this wealth of potentially valuable information lies largely unused and deteriorating. These important links with historical ecology are the written and illustrated record of man's domination of the planet. They are contained in the rare and unindexed first-hand accounts of our ancestors. Though the record is diffuse and sometimes misleading, it is often rich and incredibly insightful. While the current condition of these works is an impediment to their scientific study, a pilot project has converted this record into a machine readable, searchable, and speakable form . Scientists and librarians at Louisiana State University, have successfully converted B. F. French's 1846, five volume, Historical Collections of Louisiana into an electronic text. Reformatting rare materials broadens access to them for all scholars and students. While electronic imaging does not take the place of traditional conservation procedures it does lessen use of the original documents thus prolonging their present condition and future life. Hill Memorial Library, the home of Special Collections at LSU, is the location of the "Electronic Imaging Laboratory." Working with a local company, Key Systems Incorporated, project staff designed systems that would scan, digitize, do optical character recognition, index, provide images, and printed output of rare books, manuscripts and photographs from the collections.
SYSTEM, METHOD, AND COMPUTER PROGRAM PRODUCT FOR DATAMINING AND AUTOMATICALLY GENERATING HYPOTHESES FROM DATAREPOSITORIES, 2007
Various embodiments of the present invention provide systems, methods, and computer programs for ... more Various embodiments of the present invention provide systems, methods, and computer programs for generating a hypothesis. Specifically, some method embodiments include steps for accessing a system for extracting relationships and determining a relationship rule defining a relationship among a plurality of phrases and a plurality of concepts stored in the system for extracting relationships. Such embodiments further provide steps for parsing a plurality of documents in a data repository according to the relationship rule and generating a hypothesis comprising a previously unknown combination of phrases and concepts being at least partially determined from the parsed plurality of documents. Various mbodiments also provide a step for presenting the hypothesis to a user so as to indicate the previously unknown combination.
System, Method and Computer Program Product for Information Sorting and Retrieval Using a Language-Modeling Kernal Function, 2015
NOTE: This patent was developed by and assigned to Araicom Research and Anthony Prestigiacomo. Pr... more NOTE: This patent was developed by and assigned to Araicom Research and Anthony Prestigiacomo. Prestigiacomo is not an inventor.
Various methods provide a system, method, and computer program product for sorting and/or selectively retrieving a plurality of documents in response to a user query. More particularly, embodiments are provided that convert each document into a corresponding query language model. The language models are used to define a vector space having dimensions corresponding to the terms in the documents and in the user query. The language models are mapped in the vector space. Each of the documents is then ranked. wherein the ranking is based at least in part on the position of the mapped language models in the vector space, so as to determine a relative relevance of each of the plurality of documents to the user query.
Semantic Relationship Extraction, Text Categorization and Hypothesis Generation, 2013
NOTE: This patent was developed by and assigned to Araicom Research, LLC and Anthony Prestigiacom... more NOTE: This patent was developed by and assigned to Araicom Research, LLC and Anthony Prestigiacomo with IP Counsel Alston Bird. Mr. Prestigiacomo is not an author/inventor.
Embodiments of the present invention are generally related to systems, methods, computer readable media, and other means for extracting entities, determining the semantic relationships among the entities and generating knowledge. More particulary, some embodiments of the present invention are directed to generating a hypothesis and/or gaining knowledge by automatically extracting semantic relationships from electronic documents stored at remote databases, which are accedded over the Internet. Some embodiments of the present invention also include textural catagoization and new approaches and algorithms for solving the problems of relationship extraction, computing semantic relationship extraction, computing semantic relationships and generating hypotheses.
Associative Relevancy Canadian Patent 2,684,892 granted 9-12-2017, 2017
Provided are architectures , system , methods , and computer program products that provide a user... more Provided are architectures , system , methods , and computer program products that provide a user with the ability to define an association of data and / or information from known reference sets perceived by the user as relevant to a subject matter domain , thereby imparting and formalizing some of the user's knowledge about the domain . An associative relevancy knowledge profiler may also allow a user to create a profile by modifying or restricting the known reference sets and windowing the results from the association as a user might refine any other analysis algorithms . An associative relevancy knowledge profiler may also be used to define a user profile used by the user and others . A user profile may be usable in various manners depending upon , for example, rights management permissions and restrictions for a user .
ASSOCIATIVE RELEVANCY KNOWLEDGE PROFILING ARCHITECTURE, SYSTEM, METHOD, AND COMPUTER PROGRAM PRODUCT, 2020
Embodiments of the present invention relate generally to information retrieval systems and, more ... more Embodiments of the present invention relate generally to information retrieval systems and, more particularly, to knowledge profiling architectures permitting capture and use of associations between known reference sets, and related systems, methods, and computer program products.
Araicom Associative Relevancy Knowledge Ecology Component Diagram
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Papers by Anthony Prestigiacomo
Describes claims for multi-dimensional domain frameworks, concept containerization networks with conceptualization and perspective generation for creating new knowledge, learning, and reasoning systems incorporating various third-party processing systems including AI, ML, analytics, user knowledge selection capture, and more.
Provided are architectures , system , methods , and computer
program products that provide a user with the ability to
define an association of data and / or information from known
reference sets perceived by the user as relevant to a subject
matter domain , thereby imparting and formalizing some of
the user's knowledge about the domain . An associative
relevancy knowledge profiler may also allow a user to create
a profile by modifying or restricting the known reference
sets and windowing the results from the association as a user
might refine any other analysis algorithms . An associative
relevancy knowledge profiler may also be used to define a
user profile used by the user and others . A user profile may
be usable in various manners depending upon , for example ,
rights management permissions and restrictions for a user
Various methods provide a system, method, and computer program product for sorting and/or selectively retrieving a plurality of documents in response to a user query. More particularly, embodiments are provided that convert each document into a corresponding query language model. The language models are used to define a vector space having dimensions corresponding to the terms in the documents and in the user query. The language models are mapped in the vector space. Each of the documents is then ranked. wherein the ranking is based at least in part on the position of the mapped language models in the vector space, so as to determine a relative relevance of each of the plurality of documents to the user query.
Embodiments of the present invention are generally related to systems, methods, computer readable media, and other means for extracting entities, determining the semantic relationships among the entities and generating knowledge. More particulary, some embodiments of the present invention are directed to generating a hypothesis and/or gaining knowledge by automatically extracting semantic relationships from electronic documents stored at remote databases, which are accedded over the Internet. Some embodiments of the present invention also include textural catagoization and new approaches and algorithms for solving the problems of relationship extraction, computing semantic relationship extraction, computing semantic relationships and generating hypotheses.