Web and Intranet Search: What‘s Next After Google* ? Moderator: Gerhard Weikum (Max-Planck Institute for CS) Panelists: Eric Brill (Microsoft Research)

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Presentation transcript:

Web and Intranet Search: What‘s Next After Google* ? Moderator: Gerhard Weikum (Max-Planck Institute for CS) Panelists: Eric Brill (Microsoft Research) Hector Garcia-Molina (Stanford University) Jan Pedersen (Yahoo!) Prabhakar Raghavan (Verity) * as the symbol for Web search engine technology

© 2003 Verity Intellectual Properties Pty Ltd great for e-shopping, school kids, scientists, doctors, etc. superb scalability (now >8 Bio. docs, >1000 queries/sec) high-precision results for simple queries continuously enhanced: Froogle, Google Scholar, alerts, multilingual for >100 languages, query auto-completion, etc. Google is Great but progress is incremental, no breakthrough anymore

What Google Can‘t Do Killer queries (disregarding QA, multilingual, multimedia): drama with three women making a prophecy to a British nobleman that he will become king

What Google Can‘t Do Killer queries (disregarding QA, multilingual, multimedia): by IT professionals: by computer scientists: by kids: drama with three women making a prophecy to a British nobleman that he will become king expert in NLP & statistical learning with interest in outdoors and sense of humor articles that question the feasibility of the Semantic Web researcher who has worked on OLTP and astronomy peak load of Google effect of XML on IT industry in 2001 negative reviews about the book „Lord of the Rings“ next movie with Johnny Depp benchmarks on XML information retrieval

Silver Bullets for Web & Intranet Search ? Marvelous 3-letter acronyms that led to breakthroughs: SQL, XML, WWW, TCP, LRU, CPU, ETC NLP: Natural Language Processing, Info Extraction SML: Statistical Machine Learning for Classification, Info Extraction, Entity Resolution, etc. XML: More Structure, Metadata, Annotations W3C: Semantic Web, Ontologies, Description Logics, etc. P2P: Collaborative Recommendations & Filtering, Swarm Intelligence AUM: Advanced (Cognitive) User Models, Personalization Aim for quantum-leap improvement in 10-Year timeframe

The Distinguished Panelists Eric Brill: Senior Researcher, Microsoft Research head of text mining group; formerly John Hopkins U; Brill PoS tagger, question answering, disambiguation Hector Garcia-Molina: Chair, Stanford University Sigmod Award 1999, 294 DBLP entries, Citeseer rank 27; Deep-Web search, data integration, WebBase, P2P systems Jan Pedersen: Chief Scientist, Yahoo! Inc. formerly Xerox PARC, AltaVista; automatic classification, thesauri, query-log exploitation Prabhakar Raghavan: CTO, Verity Inc. Adjunct Prof Stanford, formerly IBM Almaden; Editor-in-Chief JACM; XML IR, Web graph & social network analysis, randomized algorithms