Post on 08-May-2015
description
Content analysis for ECM with Apache Tika
Paolo Mottadelli -
Paolo Mottadelli
paolo@apache.org
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ON BOARD!
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Agenda
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Main challenge
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Luceneindex
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Other challenges
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A real world challenge
? ? ?
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Searching .docx .xlsx .pptx in Alfresco ECM
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Agenda
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What is Tika?
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Another Indian Lucene project? No.
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What is Tika?
It is a Toolkit
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Current coverage
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A brief history of Tika
Sponsored by the Apache Lucene PMC
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Tika organization
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Changing after graduation
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Getting Tika
… and contributing
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Tika Design
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The Parser interfacevoid parse(InputStream stream, ContentHandler
handler, Metadata metadata) throws IOException, SAXException, TikaException;
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Tika Design
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Document input stream
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Tika Design
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XHTML SAX events<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<title>...</title>
</head>
<body> ... </body>
</html>
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Why XHTML?
• Reflect the structured text content of the document
• Not recreating the low level details• For low level details use low level parser libs
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ContentHandler (CH) and Decorators (CHD)
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Tika Design
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Document metadata
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… more metadata: HPSF
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Tika Design
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Parser implementations
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The AutoDetectParser
• Encapsulates all Tika functionalities• Can handle any type of document
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Type DetectionMimeType type = types.getMimeType(…);
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tika-mimetypes.xml
An example: Gzip
<mime-type type="application/x-gzip">
<magic priority="40">
<match value="\037\213" type="string“ offset="0" />
</magic>
<glob pattern="*.tgz" />
<glob pattern="*.gz" />
<glob pattern="*-gz" />
</mime-type>
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Supported formats
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A really simple exampleInputStream input =
MyTest.class.getResourceAsStream("testPPT.ppt");
Metadata metadata = new Metadata();
ContentHandler handler = new BodyContentHandler();
new OfficeParser().parse(input, handler, metadata);
String contentType = metadata.get(Metadata.CONTENT_TYPE);
String title= metadata.get(Metadata.TITLE);
String content = handler.toString();
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Demo
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?
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Future Goals
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Who uses Tika?
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Agenda
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ECM: what is it?
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ECM: Manage
• Indexing• Categorization
*
*
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ECM: we love SEARCHING!
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ECM: we love SEARCHING!
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ECM: we love SEARCHING!
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Don’t do it on your own
Tika shields ECMfrom usingmany single components
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Agenda
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Alfresco: short presentation
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Alfresco: short presentation
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Who uses Alfresco?
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Alfresco RepositoryJSR-170 Level2 Compatible
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Repository Architecture
Hibernate
Content
Lucene
Content IndexDatabase
SearchNode
Node Content QueryIndex
Services
Components
Storage
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Repository Architecture
Hibernate
Content
Lucene
Content IndexDatabase
SearchNode
Node Content QueryIndex
Services
Components
Storage
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Alfresco Search
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Alfresco Search
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Use case
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Use case
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Without Tika:
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Step 1
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Step 2
for (ContentTransformer transformer : transformers)
{
long transformationTime = transformer.getTransformationTime();
if (bestTransformer == null || transformationTime < bestTime)
{
bestTransformer = transformer;
bestTime = transformationTime;
}
}
return bestTransformer;
ContentTransformerRegistryProvides the most appropriate
ContentTransformer
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Step 2 (explained)Too many differentContentTransformer implementations
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Step 3Transform
public void transformInternal(ContentReader reader, ContentWriter writer, TransformationOptions options) throws Exception { ... HSSFWorkbook workbook = new HSSFWorkbook(is); ... for (int i = 0; i < sheetCount; i++) { HSSFSheet sheet = workbook.getSheetAt(i); String sheetName = workbook.getSheetName(i); writeSheet(os, sheet, encoding); } ... }
Example: PoiHssfContentTransformer
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Step 3 (explained)
Too many differentContentTransformer implementations
... again !?!
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Step 4
Lucene index creationContentReader reader = contentService.getReader(nodeRef, propertyName);
ContentTransformer transformer = contentService.getTransformer(reader.getMimetype(), MimetypeMap.MIMETYPE_TEXT_PLAIN);
transformer.transform(reader, writer); reader = writer.getReader();
. . . . . . . .
doc.add(new Field(attributeName, reader, Field.TermVector.NO));
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Let’s do it using Tika
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Step 1 + Step 2 + Step 3
String name = “resource.doc”InputStream input = getResourceAsStream(name);
Metadata metadata = new Metadata(); ContentHandler handler = new BodyContentHandler();
new AutoDetectParser().parse(input, handler, metadata);
String title = metadata.get(Metadata.TITLE);String content = handler.toString();
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Step 1 to 4 (compressed)
String name = “resource.doc”InputStream input = getResourceAsStream(name);
Reader reader = new ParsingReader(input, name);
. . . . . .
doc.add(new Field(attributeName, reader, Field.TermVector.NO));
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Results: 1 & 2
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Extension use caseAdding support forMicrosoft Office Open XML Documents(Office 2007+)
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Apache POI
Apache POI providesText Extraction support
for Office OpenXML formatsand
An advanced coverage ofSpreadsheetML specification
(WordprocessingML & PresentationML to come)
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Apache POIApache POI status
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Apache POI TextExtractors
POIXMLDocument document;
Package pkg = Package.open(stream);
textExtractor = ExtractorFactory.createExtractor(pkg);
if (textExtractor instanceof XSSFExcelExtractor) {
setType(metadata, OOXML_EXCEL_MIMETYPE
document = new XSSFWorkbook(pkg);
}
else if (textExtractor instanceof XWPFWordExtractor){…}
else if (textExtractor instanceof XSLFPowerPointExtractor){…}
setPOIXMLProperties(metadata, document);
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Can we find it?
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Results: 3 & 4
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Q & A
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p.mottadelli@sourcesense.com