Things to consider when using Semantics in your Information Management strategy. Toby Conrad Smartlogic

Transcription

1 Things to consider when using Semantics in your Information Management strategy Toby Conrad Smartlogic

2 Some of Smartlogic s 250+ Customers

3 Awards Trend Setting Product of the Year KM World 2nd place in the World s Most Promising Tech companies Innovate100 Best Product Google Gold Partner - Microsoft. (And a Fast partner) Twice selected as best solution by Earley & Associates 2009 / 2010

4 First... a few questions Is the volume of content in your business growing faster than your IT budget? Is this content important to your business? Would your content platforms work better if they knew about your business? Can semantics make things better?

5 What is Semantic Technology? Enables applications to understand the meaning of content Generates structured information (meta-data) about unstructured information Meta-data can be used to improve how content is created, managed, searched, navigated and archived

6 Information Universe Enterprise Search Content Management Portal Infrastructure Document Management SharePoint Enterprise Semantic Platform Records Management Publishing Systems Digital Asset Management ediscovery Process Management & Workflow

7 Examples of Semantics in use SharePoint Document Management Records Management Enterprise Search Content Management Publishing Systems

8 What is an Ontology? Space Exploration Healthcare

9 User Requests Crawler Doing it with ECM / SharePoint Search and Navigation Enhancement Ontology Lifecycle Management Classification and Text Mining Search Web Part Search Mapped Property Document Library Semaphore Solution Publishing Site Web Application ECM or SharePoint

10 User Requests Sample Interface Code Doing it at search time Search and Navigation Enhancement Ontology Lifecycle Management Classification and Text Mining Query Pipeline Index Document Processor Indexing Pipeline Search Application Framework Portal Search Engine Corpus

11 Improving search and navigation Concept Mapping

12 Improving search and navigation Explore relationships Perfectly formed filters organised by facet More accurate results

13 Improving search and navigation Explore broader and narrower topics

14 Improving search and navigation Topic overviews

15 Improving search and navigation Visual content navigation

16 Part of your infrastructure No need to replace your content platforms... If your solution offers: Scalability and reliability Open APIs / web services Ontology lifecycle management Text Mining Classification Search & Navigation

17 Rules Based Classification / Text Mining Text Mining Advantages Identifies entities you do not know about Reduces time to build an ontology Returns dates, measurements, values etc Disadvantages Many suggestions will not be relevant Will return synonyms (e.g. US, USA, America) Does not determine aboutness Rules Based Classification Overcomes ambiguity Determines about-ness Determines context Only finds entities you want to show Very controllable and auditable Can be combined with text mining (e.g. find a company near the concept of Merger Requires a taxonomy / ontology Requires a classification strategy

18 Search Ontology Fast Track Identify requirements and facets Define tight scope by search log analysis Text mine the content (noun phrases, entities, statistical relationships) Combine assets (lists, meta-data, file plans, navigational structures, vocabularies, 3 rd party taxonomies etc) Collect feedback / incorporate social tagging... or Outsource It

19 Manual classification? Americas USA Earth Florida North America Tampa

20 In summary Semantic technology improves how you manage, re-purpose, surface and find content No need to replace your existing content platforms just add semantic intelligence With text mining, content classification, offthe-shelf integration, UI frameworks and a pragmatic approach the technology is now mature and affordable

21 RESOURCES Smartlogic Semaphore Resources