chalitha perera | cross media concept and entity driven search for enterprise

Work Together Effectively

Cross Media Concept and Entity Driven Search for Enterprise

Chalitha Perera and Dileepa Jayakody R&D Engineers


•  Headquartered in London with office in Colombo, Sri Lanka

•  Focused on delivering enterprise content management solutions

•  Our Skills


Zaizi R&D Department

•  Giving sense to the content –  Enriching it semantically

•  Adding value to ECM/CMS –  More structured content, easy to manage, link and search

•  Improving search

–  Across different domains, data sources, User Experience

•  Machine Learning applied research


Agenda

•  Problem

•  Solution

•  Sensefy and MICO

•  Demo

•  Q&A


Problem •  Unstructured Text Content

–  Text documents, PDFs, Word …

•  Rapid growth in multimedia content

•  Heterogeneous Data Sources

–  ECMs (Alfresco, Sharepoint), File System, Confluence, JIRA …

•  Data is not useful without effective methods for –  Knowledge Extraction –  Information Retrieval


Current Enterprise Search Limitations

•  Limited to keyword based search

•  Search context is not considered

•  Ambiguity of terms

•  Low precision

•  Inability to properly handle multimedia files


Desired traits of Solution

•  Semantically Enhance documents –  Unstructured text –  Multimedia documents

•  Cross media search

•  Search with semantic concepts and entities

•  Federated Search

–  Search across different content repositories –  User permissions


Sensefy •  Semantic Enterprise Search Engine

•  Cross Media Search

•  Federated Search

•  Smart Search Assistance

•  Open Source


Sensefy Architecture


Repository Crawler •  Four types of connectors

–  Repository Connectors –  Authority Connectors –  Transformation Connectors –  Output Connectors

•  Connect different source repositories with different target indexes –  Source repositories (Alfresco, Sharepoint, Confluence etc) –  Target Indexes (Solr, ElasticSearch, Amazon CloudSearch)

•  Security Model to enforce source repository security policies


Media In Context (MICO) Platform

•  MICO provides an integrated platform for –  Cross media analysis –  Metadata publishing –  Metadata querying

•  Sensefy uses MICO as the cross media analysis engine to extract entities and concepts

from multimedia


Cross Media Extraction Pipeline


Semantic Content Enrichment

•  Named Entity Recognition –  People, places, organizations and concepts

•  Entity Linking –  DBpedia, Yago, Custom Enterprise knowledge bases

•  Entity Disambiguation


Entity Search with Suggestions

•  Named Entity Suggestions •  Ability to query with disambiguated entities

•  Search results with high precision –  Keyword search results for “ronaldo” - “Cristiano Ronaldo” and “Ronaldo” –  Entity Search - will contain only the documents related to selected entity


Entity Search with Suggestions

•  Combine entities and concepts for more complex queries


DEMO


Q&A


Thank you.

chalitha perera | cross media concept and entity driven search for enterprise

Technology