Advanced Knowledge Discovery Tools: Designed to Unlock and Leverage Prior Knowledge to Drive Cost Reduction, Increase Innovation and Mitigate Risk

Transcription

1 Advanced Knowledge Discovery Tools: Designed to Unlock and Leverage Prior Knowledge to Drive Cost Reduction, Increase Innovation and Mitigate Risk Ian F Mitchell BSc CEng MIMechE Senior Innovation Manager Product Design Client Services IHS Markit

2 The Challenge Corporate & Authoritative knowledge is not leveraged Lessons-learned & tribal wisdom not readily captured & reused Yet often the answer you need already exists within your organisation Duplication or unnecessary rework undertaken Many hours wasted data gathering Analysis time is squeezed The Greying workforce Large demographic gap

3 Capturing & Indexing Enterprise Knowledge Semantically Index Extensive Data Sources >Private & Shared Folders; > 400 Document Types >Lotus Notes, SharePoint, LiveLink, Documentum, Windchill, Teamcenter > , Web Sites, Deep-web sites Point-&-Click Index Creation >Data is not moved; no manual prep required >No changes to document content or security >English, French, German, Japanese & Mandarin (Russian later this year) Bring Intelligence & Utility to Textual Data >Organize Tribal Knowledge & External Expertise >Extracted Concepts, Automatic Summaries, Dynamic & Visual Topic Browsing

4 Semantic Technology vs Keyword The actuator raises the door, it comprises a diaphragm and hydraulic fluid, but a fluid leak can result in abrasion and failure of the actuator. Keyword Processing = SEARCH Conventional keyword processing creates a simple bag of noun phrases, you never know the relationships between phrases or parts of speech. Semantic Processing = RESEARCH Extracts underlying meaning actuator raises door fluid door Subject Action Object actuator abrasion? failure comprises actuator comprises diaphragm, hydraulic fluid Whole Consists of Parts hydraulic result leak diaphragm raises fluid leak results in actuator abrasion, actuator failure Cause Produces Effects

5 Submitting a Query Authoritative Content to select for Research Meta Data Results list by Relevancy Question Answering Results

6 Question Answering Technology General Facts Parts & Functions Parameters Cause & Effect

7 Document Summarisation

8 Asking Questions & Drilling into Results

9 Functionality Results are organized across a series screens and broken down into subject lenses to give clear understanding of a topic Cross language querying in 5 languages Dynamic Document summarisation Highlighted text 400 document types can be indexed All documents remain in their original storage location when indexed Extracts relationships between nouns and verbs in the sentences of documents As silos of information are indexed Knowledge bases are created Single access point to internal and external knowledge 9

10 Benefit & Value Enhanced discovery & understanding Rapidly surface key ideas Find solutions to product design requirements & functional questions Leverage lessons learned, corporate expertise & past experience Avoid past mistakes & reinventing the wheel Accelerate time to solution Effectively capture, communicate & collaborate on research & analysis activities See answers in order of ranked relevancy Explore concept categories & topic lists Optimize & accelerate research efforts Access concepts outside area of expertise Surface key concepts without sifting through piles of irrelevant results or lengthy documents Minimize design cycles & rework costs Research concept feasibility & prior usage Ensure only validated ideas go to development Capture research thinking & rationale Collaborate & communicate research activities

11 Thank you Questions? Ian F Mitchell Ian.Mitchell@IHSMarkit.com