• AHPA-Calculating Hub And Authority For Information Retrieval (F)
  George Stephanides, Mirel Cosulschi, Mihai Gabroveanu, and Nicolae Constantinescu (University of Macedonia, Greece)
• The Impact of Ranker Quality of Rank Aggregation Algorithms: Information vs Robustness (F)
  Sibel Adali, Brandeis Hill, and Malik Magdon-Ismail (Rensselar Polytechnic Institute, USA)
• Semantic-enriched Service Discovery (F)
  Devis Bianchini, Valeria De Antonellis, Michele Melchiori, and Denise Salvi (Universit`a di Brescia, Italy)
• Automatic Discovery and Composition of Services with IRIS (S)
  Uwe Radetzki and Armin B. Cremers (University of Bonn, Germany)

• Novelty-based Incremental Document Clustering for On-line Documents (F)
  Sophoin Khy, Yoshiharu Ishikawa, and Hiroyuki Kitagawa (University of Tsukuba, Japan)
• A Multiple-Perspective, Interactive Approach to Web Information Extraction and Exploration (F)
  Naureen Moon, Ya-Wen Hsu, and Rahul Singh (San Francisco State University, USA)
• Web Interface Navigation Design: Which Navigation Style Do Users Prefer? (S)
  Angela Burrell and Angela Sodan (University of Windsor, Canada)
• Automatic Maintenance of Web Directories using Click-Trough (S)
  Ariel Cid, Carlos Hurtado, and Marcelo Mendoza (Universidad de Chile, Chile)
• A New Approach for Reactive Web Usage Data Processing (S)
  Murat Ali Bayir, Ismail Toroslu, and Ahmet Cosar (Middle East Technical University, Turkey)

• Using Element Clustering to Increase the Efficiency of XML Schema Matching (F)
  Marko Smiljanic, Maurice van Keulen, and Willem Jonker (University of Twente, The Netherlands)
• A Robust Approach to Schema Matching over Web Query Interfaces (F)
  Jin Pei, Jun Hong, and David Bell (Queen's University Belfast, UK)
• Efficient Techniques for Effective Wrapper Induction (F)
  Valter Crescenzi and Paolo Merialdo (Universita' degli Studi Roma Tre, Italy)
• Semi-Automated Extraction of Targeted Data from Web Pages (F)
  Estievenart Fabrice, Meurisse Jean-Roch, Hainaut Jean-Luc, and Thiran Philippe (CETIC, Belgium)
• Mining Executive Compensation Data from SEC Filings (S)
  Chengmin Ding and Ping Chen (Comkraft Inc, USA)
• Automatic Extraction of Publication Time from News Search Results (S)
  Yiyao Lu, Weiyi Meng, Wanjing Zhang, King-Lup Liu, and Clement Yu (Binghamton University, USA)

• P2P Directories for Distributed Web Search: From Each According to His Ability, to Each According to His Needs (F)
  Matthias Bender, Sebastian Michel, and Gerhard Weikum (Max-Planck-Institut fuer Informatik, Germany)
• A Self-Organizing Search Engine for RSS Syndicated Web Contents (F)
  Ying Zhou, Xin Chen, and Chen Wang (The University of Sydney, Australia)
• Replication based on Objects Load under a Content Distribution Network (F)
  George Pallis, Konstantinos Stamos, Athena Vakali, Dimitrios Katsaros, Antonis Sidiropoulos, and Yannis Manolopoulos (Aristotle University of Thessaloniki, Greece)

Abstract

Current Web search engines can be considered page-level general search systems with the main function of ranking web pages according to the relevance of given queries. However, we see an opportunity of further improving search technologies by developing specialty search engines that go deeper into vertical domains to provide more precise answers in search results. Vertical search will also be able to provide more relevant and intelligent search results since the method can data-mine associations and relations within data. In this talk, I will introduce the current status of web search and discuss this new trend toward building what I call "object-level vertical search engines." The research problems we need to address include large- scale web classification, structured data extraction, and information aggregation and integration from a variety of sources, including data feeds and crawl. I will introduce recent research progress at MSR Asia and show how we are applying our developed technologies to build more advanced vertical search engines for such areas as shopping, academic search, and multimedia.