WO2007005730B1 - System and method of making unstructured data available to structured data analysis tools - Google Patents

System and method of making unstructured data available to structured data analysis tools

Info

Publication number
WO2007005730B1
WO2007005730B1 PCT/US2006/025811 US2006025811W WO2007005730B1 WO 2007005730 B1 WO2007005730 B1 WO 2007005730B1 US 2006025811 W US2006025811 W US 2006025811W WO 2007005730 B1 WO2007005730 B1 WO 2007005730B1
Authority
WO
WIPO (PCT)
Prior art keywords
data
unstructured
tools
schema
source
Prior art date
Application number
PCT/US2006/025811
Other languages
French (fr)
Other versions
WO2007005730A2 (en
WO2007005730A3 (en
Inventor
Justin Langseth
Nithi Vivitrat
Gene Sohn
Original Assignee
Clarabridge Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Clarabridge Inc filed Critical Clarabridge Inc
Priority to EP06774414.4A priority Critical patent/EP1899855B1/en
Publication of WO2007005730A2 publication Critical patent/WO2007005730A2/en
Publication of WO2007005730A3 publication Critical patent/WO2007005730A3/en
Publication of WO2007005730B1 publication Critical patent/WO2007005730B1/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/25—Integrating or interfacing systems involving database management systems
    • G06F16/254—Extract, transform and load [ETL] procedures, e.g. ETL data flows in data warehouses
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/25—Integrating or interfacing systems involving database management systems
    • G06F16/258—Data format conversion from or to a database
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
    • Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10S707/00—Data processing: database and file management or data structures
    • Y10S707/912—Applications of a database

Abstract

A system and method of making unstructured data available to structured data analysis tools. The system includes middleware software that can be used in combination with structured data tools to perform analysis on both structured and unstructured data. Data can be read from a wide variety of unstructured sources. The data may then be transformed with commercial data transformation products that may, for example, extract individual pieces of data and determine relationships between the extracted data. The transformed data and relationships may then be passed through an extraction/transform/load (ETL) layer and placed in a structured schema. The structured schema may then be made available to commercial or proprietary structured data analysis tools.

Claims

AMENDED CLAIMS received by the International Bureau on 16 April 2007 (16.-04.2007)
1. A method of making unstructured data available to structured data tools comprising; accessing a source of unstructured data via extraction connectors; extracting the unstructured data;
■writing the extracted unstructured data to a capture schema; sending the extracted mistructured data from the capture schema to a transformation. tool via transformation connectors; transforming the extracted unstructured data -with the tπansf oπnarion, tool; ■writing the transformed, extracted iinstructured data to the capture schema; processing data in the capture schema "with an extraction/transform/load layer, ■writing the processed data from the extraction/transf orm/Ioad layer in an analysis schema; and providing data connectors that allow structured data tools to access the analysis schema.
2. The method of claim 1 , wherein extracting includes parsing the unstructured data and associating the data source -with the parsed unstructured data.
3. The method of claim 1, -wherein the transformation tool extracts individual pieces of data and performs text and/ or data processing activities.
4. The method of claim 3, -wherein the text and data processing activities include: determining the topic of a section of text, extracting a section of text from a whole document, matching names, or matching addresses.
5. The method of claim 1, -wherein the structured data tools include business intelligence, statistical analysis, data visualization and mapping, or data mining.
6. The method of claim 1, wherein the source of unstructured data includes email, ward processing documents, spreadsheets, presentation materials, PDF files, "web pages, news/media reports, case files, transcriptions, file servers, web servers, enterprise content, enterprise search tool repositories, intranets, knowledge management systems, or document management systems.
7. The method of claim 1, -wherein the transformadon tool includes: (J) entity, concept and relationship tagging and extraction tools, (ϋ) categorization and topic extraction tools, (iii) data matching tools or, (iv) custom transformations.
8. A system for making unstructured data available to structured data took comprising: a core server, pne or more processors on the core server, a tangible medium on the core server containing instructions that -when executed by the one or more processors perf orms a method comprising; writing the extracted unstructured data to a capture schema; sending the extracted unstructured data from the capture schema to a transformation tool via transformation cormectois; transforming the extracted unstructured data with the transformation tool; writing the transformed, extracted unstructured data to the capture schema; processing data in the capture schema with an extraction/transform/load layer; -writing the processed data from the extraction/transform /load layer in an analysis schema; and providing data connectors that allow structured data tools to access the analysis schema.
9. The system of claim 8, wherein the code to extract includes code to parse die unstructured data and associate the data source -with the parsed unstructured data.
10. The system of claim 8, wherein the transformation tool extracts individual pieces of data and performs text and/or data processing activities.
11. The system of claim 10, wherein die text and data processing activities include; determining the topic of a section of text, extracting a section of text from a -whole document, matching names, or matching addresses.
12. The system of claim 8, wherein the structured data tools include business intelligence, statistical analysis, data visualization and mapping, or data mining.
13. The system of claim 8, wherein the source of unstructured, data includes email, word processing documents, spreadsheets, presentation materials, PDF files, web pages, news/media reports, case files, transcriptions, file servers, web servers, enterprise content, enterprise search tool repositories, intranets, knowledge management systems, or document management systems.
14. The system of claim 8, wherein the transformation tool includes: (i) entity, concept and relationship tagging and extraction tools, (iϊ) categorization and topic extraction, tools, (UL) data matching tools or, (rv) custom transformations.
15. A system for extracting unstructured data from a plurality of unstructured data sources and a plurality of formats comprising: a core server, one or more processors on the core server, a tangible medium on the core server containing instructions that when executed by the one or more processors operates a plurality of APIs to interface with the plurality of unstructured data sources and a single internal API that interfaces with a plurality of software components that allow structured data tools to operate on unstructured data.
16. The extraction service of claim 15, wherein the plurality of unstructured data sources includes email, word processing documents, spreadsheets, presentation materials, PDF files, web pages, news/media reports, case files, transcriptions, file servers, web servers, enterprise content, enterprise search tool repositories, intranets, knowledge management systems, and document management systems.
17. A transformation connector comprising: a core server, one or more processors on the core server, a tangible medium on the core server containing instructions that when executed by the one or more processors performs a method comprising: understanding the format of data provided by a transformation tool; and converting the data provided by a transformation tool to a data format that maps to a data capture schema, the data, capture schema comprising; a table to store data extracted from a plurality of source documents having unstructured data; and. a table to stone inf oπnation about the extracted data, and wherein the plurality of documents are assigned a unique key that identifies the document throughout a software system allowing (i) cross-analysis, (H) linking of results for further analysis, (iii) drill-down from analytical reports back to the source documents or (iv) drill-down from analytical reports back to transf ormation information stored in the schema.
18. The transformation connector of claim 17, wherein the transformation tool includes: (i) entity, concept and relationship tagging and extraction tools, (ii) categorization and topic extraction tools, (iii) data matching tools or, (iv) custom transformations.
19. The transformation connector of claim 17, wherein, the code to convert the data comprises at least one XSL transform.
20. A core server comprising code to allow parallel processing of unstructured data on a continuous real-time basis, wherein: the code is adapted to configure unstructured source extractors arid treat them as black boxes in a data workflow; the code is adapted to extract unstructured text from a plurality of data sources and source systems, the extracted unstructured text available for input for further processing; the code is adapted to configure end-to-end data flow from the plurality of data sources, through a capture schema, through one or more transformation components. back to the capture schema, through an extraction/transf orm/load layer, and into an analysis schema for analysis by structured data analysis tools; the code is adapted to retain a single key for each data source, the key being associated with data generated by the transformation components; and the code is adapted to store all extracted unstructured text, metadata and transformation data in a capture schema.
21. The core server of claim 20, wherein the code is adapted, to use a drag and drop data editor.
22. A structured data connector system that allows structured data analysis tools to analyze data in an analysis schema comprising; a core server, one or more processors on the cone server, a tangible medium on the core server containing instructions that when executed by the one or more processors performs a method comprising: providing ODBC code; providing JDBC code; and pre-populating metadata of die structured data analysis tools -with tables, columns, attributes, data and metrics from an analysis schema without performing tool customization or application specific setup,
23. The structured data connector of claim 22, further comprising pre-built reports, graphs and dashboards,
24. The structured data connector of claim 22, further comprising embedded hyperlinks that allow drill -through to underlying data sources.
25. The structured data connector of claim 24, "wherein the hyperlinks include a document ID, entity ID, or relationship ID from the analysis schema,
26. The structured data connector of claim 25, further comprising a source highlighter, the source highlighter adapted to access a capture schema and retrieve a source document or a section of a source document.
27. The structured data connector of claim 26, -wherein the source highlighter is adapted to retrieve start and end character positions, and to scroll down and highlight a relevant sentence in a retrieved source document or in a retrieved section of a source document.
PCT/US2006/025811 2005-07-05 2006-06-30 System and method of making unstructured data available to structured data analysis tools WO2007005730A2 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
EP06774414.4A EP1899855B1 (en) 2005-07-05 2006-06-30 System and method of making unstructured data available to structured data analysis tools

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US11/172,955 US7849048B2 (en) 2005-07-05 2005-07-05 System and method of making unstructured data available to structured data analysis tools
US11/172,955 2005-07-05

Publications (3)

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WO2007005730A3 WO2007005730A3 (en) 2007-04-05
WO2007005730B1 true WO2007005730B1 (en) 2007-06-07

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EP (1) EP1899855B1 (en)
WO (1) WO2007005730A2 (en)

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EP1899855A4 (en) 2011-01-26
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