Extraction and publication of reusable organizational knowledge

Extraction and publication of reusable organizational knowledge

An analysis module, when triggered by a synchronization framework when a new data item is added to a project data store, runs a series of analysis feature extractors on the new content. An analysis may be conducted, and features of interest may be extracted from the data item. The analysis utilizes...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: CHILDS BENJAMIN EDWARD, PEREZ DEL CARPIO DIEGO, O'KEEFE COURTNEY ANNE, SHARMA ASHISH, GAMON MICHAEL, CHITRAPU ARUN, AZZAM SALIHA, KOHLMEIER BERNHARD SJ, CALDWELL NICHOLAS, POWELL KEVIN, DIMMICK STEVEN, WANG YE-YI, KUO SHIUN-ZU, MANIS KIMBERLY, PHAN TU HUY, WALVEKAR MUKTA PRAMOD, SHAH JIGNESH, CHILAKAMARRI VENKAT PRADEEP, TER HORST PAULUS WILLEM, CAI YIZHENG, LUDWIG JONATHAN C
Format: Patent
Sprache:chi ; eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:An analysis module, when triggered by a synchronization framework when a new data item is added to a project data store, runs a series of analysis feature extractors on the new content. An analysis may be conducted, and features of interest may be extracted from the data item. The analysis utilizes natural language processing, as well as other technologies, to provide an automatic or semi-automatic extraction of information. The extracted features of interest are saved as metadata within the project data store, and are associated with the data item from which it was extracted. The analysis module may be utilized to discover additional information that may be gleaned from content that is already in the project data store.