Garlik: Semantic Technology for the Consumer
Description
In under a decade the internet has changed our lives. Now we can shop, bank, date, research, learn and communicate online and every time we do we leave behind a trail of personal information. Organisations have a wealth of structured information about individuals on large numbers of databases. What does the intersection of this information mean for the individual? How much of your personal data is out there and more importantly, just who has access to it? As stories of identity theft and online fraud fill the media internet users are becoming increasingly nervous about their online data security. Also what opportunities arise for individuals to exploit this information for their own benefit? Garlik was formed to give individuals and their family's real power over the use of their personal information in the digital world. Garlik's technology base has exploited and extended results from research on the Semantic Web. It has built the world's largest, SPARQL compliant, native format, RDF triple store. The store is implemented on a low-cost network cluster with over 100 servers supporting a 24x7 operation. Garlik has built semantically informed search and harvesting; used industrial strength language engineering technologies across many millions of people-centric Web pages. Methods have been developed for extracting information from structured and semi structured databases. All of this information is organised against a people-centric ontology with facilities to integrate these various fragments. Garlik has received two substantial rounds of venture capital funding (as of March 2008), has established an active user base of tens of thousands of individuals, and is adding paying customers at an increasing rate. This talk reviews the consumer need, describes the technology and engineering, and discusses the lessons we can draw about the challenges of deploying Semantic Technologies.
| Slides | |
| 0:00 | European Semantic Web Conference |
| 2:55 | Structure |
| 3:26 | My Journey to Garlik |
| 5:09 | Our CEOs Journey to Semantic Technology |
| 6:25 | Making the Final Decision |
| 7:30 | The Management Team |
| 7:48 | Advisors |
| 7:51 | The Management Team |
| 8:42 | Advisors |
| 9:46 | The Opportunity (1) |
| 11:07 | The Opportunity (2) |
| 12:37 | The Opportunity (3) |
| 15:16 | A selection of sources on the Web that hold information on us (1) |
| 15:41 | A selection of sources on the Web that hold information on us (2) |
| 16:09 | A selection of sources on the Web that hold information on us (3) |
| 16:38 | Garlik’s Purpose |
| 17:27 | Garlik Today |
| 20:20 | Structure |
| 20:55 | Business Criteria in Technology Selection |
| 22:49 | The Semantic Web Revisited |
| 23:45 | Technical Architecture |
| 25:52 | Garlik’s Semantic Platform |
| 25:57 | Technical Architecture |
| 26:29 | Garlik’s Semantic Platform |
| 26:36 | Structure |
| 26:38 | Pitching Semantic Technology to the VCs |
| 27:45 | Structure |
| 27:51 | DataPatrol (1) |
| 28:54 | DataPatrol (2) |
| 28:58 | DataPatrol (3) |
| 29:03 | DataPatrol (1) |
| 31:20 | DataPatrol (2) |
| 31:26 | DataPatrol (3) |
| 32:57 | DataPatrol (4) |
| 33:10 | DataPatrol (5) |
| 33:17 | DataPatrol (6) |
| 33:41 | DataPatrol (7) |
| 34:01 | DataPatrol (8) |
| 34:05 | Data Patrol CPP (1) |
| 34:42 | Data Patrol CPP (2) |
| 34:53 | Data Patrol CPP (3) |
| 35:01 | Data Patrol CPP (4) |
| 35:35 | Data Patrol CPP (5) |
| 36:05 | Data Patrol CPP (6) |
| 36:11 | Data Patrol CPP (7) |
| 36:23 | Garlik: The Nature of our Data (i) Structured Data Relationships changing order of few times a year |
| 37:39 | Garlik: The Nature of our Data (i) Semi and unstructured Data Relationships changing order many times a year (1) |
| 38:46 | Garlik: The Nature of our Data (i) Semi and unstructured Data Relationships changing order many times a year (2) |
| 38:54 | Garlik: The Nature of our Data (i) Semi and unstructured Data Relationships changing order many times a year (3) |
| 38:57 | Data Matching Issues - Examples |
| 39:37 | QDOS (1) |
| 41:30 | QDOS (2) |
| 42:43 | QDOS (3) |
| 43:35 | QDOS (4) |
| 43:51 | QDOS (5) |
| 44:32 | Structure |
| 44:58 | Technical Architecture |
| 45:08 | Garlik and the design of Semantic Databases: Why Garlik uses RDF storage |
| 47:22 | Garlik and the design of Semantic Databases: Ontology “Engineering” |
| 48:34 | Garlik and the design of Semantic Databases: Data access |
| 49:20 | Garlik and the design of Semantic Databases: The challenge of URI Management |
| 49:59 | Performance Measures and Benchmarks |
| 50:53 | Scale and Growth of our RDF data |
| 51:49 | Why did we build our own DBMS? |
| 52:28 | Cluster Architecture |
| 52:40 | Software versions |
| 52:59 | Application Parameters |
| 53:52 | Structure |
| 54:03 | Is it time for Semantic Tech Community to be bolder? |
| 55:16 | Does online identity matter to people? |
| 56:22 | Online dating is an emerging identity battlefield |
| 56:44 | Who is Robert Schock? |
| 57:52 | How a minor irritation becomes a full blown crisis |
| 58:09 | What do “Web Science” dynamics point to about Social Networks? |
| 58:38 | What might a solution look like? |
| 59:13 | Social Verification: The Concept |
| 59:18 | FOAF: A start point for social verification? (1) |
| 59:25 | FOAF: A start point for social verification? (2) |
| 60:47 | FOAF: A start point for social verification? (3) |
| 60:51 | FOAF: A start point for social verification? (4) |
| 60:54 | FOAF: A start point for social verification? (5) |
| 60:55 | FOAF: A start point for social verification? (6) |
| 60:58 | In Conclusion |
| 60:58 | Structure |
| 61:00 | Lessons Learnt |
| 62:25 | Things change… (1) |
| 62:35 | Things change… (2) |
| 62:43 | Things change… (1) |
| 62:54 | Some things are the same… (1) |
| 63:19 | Some things are the same… (2) |
| 64:09 | Thank you |
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