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A presentation on LarKC

A presentation on LarKC. Given by Dieter Fensel???. What is LarKC about?. How many golf balls fit into the Universe?. Not sure we could justify €10,000,000 ICT funding for this?. What is LarKC about?. LarKC is about the large collider. phor. Meta.

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A presentation on LarKC

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  1. A presentation on LarKC Given by Dieter Fensel???

  2. What is LarKC about? How many golf balls fit into the Universe? Not sure we could justify €10,000,000 ICT funding for this?

  3. What is LarKC about? LarKC is about the large collider phor Meta No! I am self confident enough not to reuse metaphors from other fields

  4. What is LarKC about? Larkc is about bunch of Indians implementing Stefano's vision No! I would be too arrogant for this.

  5. What is LarKC about? LarKC is about: • Identifier • Transformer • Selecter • Reasoner • Ranker • Answerer • Marviner Well if this were true there would be no reason to talk about it.

  6. What is LarKC about? Or in the words of Ian the Horrible: There is no research in LarKC!

  7. Lets ask the real questions Why is the name of the project manager Alice?

  8. Lets ask the real questions Why is Dieter the project co-originator?

  9. Lets ask the real questions What is LarKC all about? LarKC is about reasearch!

  10. What is Reasearch? Logic 1 (Recall) Reasearch Reasoning performance Completeness Information retrieval Search performance 0 Soundness (Precision) 1

  11. What is Reasearch? Assumptions of logic : • Small number of facts • No change • No contradictions Actually the web is: • Very very big • Changes faster than you can reason about it • Contains contradictions (or different points of view)

  12. What is Reasearch? • IEEE Internet Computing, Vol 11, Issue 2, March 2007, pages 95-96 • Dieter Fensel, Frank van Harmelen: Classical economic theory assumes completely rational agents It has limited power to predict or model reality Herbert Simon introduced the concept of limited rationality which led to heuristic problem solving Collecting information and reasoning is actually a process bounded by limited resources Our aim is to effect a similar paradigm shift by integrating reasoning and search at Web scale Search and reasoning become two sides of the same coin

  13. Information retrieval on the Web In information retrieval, the notion of completeness (recall) becomes more and more meaningless in the context of Web scale information infrastructures. It is very unlikely that a user requests all the information relevant to a certain topic that exists on a worldwide scale. Therefore, instead of investigating the full space of precision and recall, information retrieval is starting to focus more around improving precision and proper ranking of results.

  14. Data look-up on the Web In a large, distributed, and heterogeneous environment, classical ACID guarantees of the database world no longer scale in any sense. Even a simple read operation in an environment such as the Web, a peer-to-peer storage network, a set of distributed repositories, or a space, cannot guarantee completeness in the sense of assuming that if data was not returned, then it was not there. Similarly, a write can also not guarantee a consistentstate that it is immediately replicated to all the storage facilities at once.

  15. Reasoning on the Web What holds for a simple data look-up holds in an even stronger sense for reasoning on Web scale. The notion of 100% completeness and correctness as usually assumed in logic-based reasoning does not even make sense anymore since the underlying fact base is changing faster than any reasoning process can process it. Therefore, we have to develop a notion of usability of inferred results and relate them with the resources that are requested for it.

  16. The principle limits of semantics The principal limits of describing large, heterogeneous, and distributed systems

  17. What is Reasearch? • All earlier work on the semantic web, such as OIL, OWL, OWL2, RIF etc, is fundamentally broken. • Just adding awkward web syntax to reasoners will not generate something new, reasonable or useful. • The essence of the web (search) must be included into the reasoning process, generating something new called reasearch

  18. What is the problem with Larkc, i.e. why will it not scale? Reasearch is about merging search and reasoning. LarKC is about having search and reasoning as two separate components inside a platform. • In LarKC these different aspects were misinterpreted as separate components • the same inefficiency problem will occur again.

  19. What is the problem with Larkc, i.e. why will it not scale? • Only through the true integration of search and reasoning into a new process called reasearch will we be able to provide useful and scalable solutions for the semantic web! • It is time to merge induction and deduction into something that works at web scale! • It is also time to reasearch LarKC again to prevent us from failing and • trying to prevent failure through caching or other pointless reactions towards the underlying conceptual failure.

  20. Questions?

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