'Query reformulation' presentation slideshows

XML Query Reformulation Val Tannen University of Pennsylvania

XML Query Reformulation Val Tannen University of Pennsylvania Joint work with Alin Deutsch, UC San Diego and in part with Lucian Popa, IBM Almaden. XML. XML. XML. proprietary data. proprietary data. proprietary data. Data Exchange Between Businesses Using XML.

872 views • 78 slides

Reformulating Constraint Satisfaction Problems with Application to Geospatial Reasoning Ken Bayer

Reformulating Constraint Satisfaction Problems with Application to Geospatial Reasoning Ken Bayer Constraint Systems Laboratory Department of Computer Science & Engineering University of Nebraska-Lincoln. Supported by NSF CAREER award #0133568 & AFOSR grants FA9550-04-1-0105, FA9550-07-1-0416.

591 views • 48 slides

Reformulating Constraint Satisfaction Problems with Application to Geospatial Reasoning Ken Bayer

Reformulating Constraint Satisfaction Problems with Application to Geospatial Reasoning Ken Bayer Constraint Systems Laboratory Department of Computer Science & Engineering University of Nebraska-Lincoln.

553 views • 48 slides

Reformulating Constraint Satisfaction Problems with Application to Geospatial Reasoning Ken Bayer

Reformulating Constraint Satisfaction Problems with Application to Geospatial Reasoning Ken Bayer Constraint Systems Laboratory Department of Computer Science & Engineering University of Nebraska-Lincoln. Supported by NSF CAREER award #0133568 & AFOSR grants FA9550-04-1-0105, FA9550-07-1-0416.

483 views • 48 slides

Integration of Biological Data (LifeDB)

Integration of Biological Data (LifeDB). Presented By Md. Shazzad Hosain (shazzad@wayne.edu) Supervised By Dr. Hasan Jamil (jamil@cs.wayne.edu) Wayne State University, Detroit, USA. Outline. Data Integration WebFusion (our previous work) LifeDB (our goal) Research Scopes.

443 views • 37 slides

Domain Dependent Query Reformulation for Web Search

395 views • 27 slides

An Architecture for Emergent Semantics

385 views • 27 slides

Mining Term Association Patterns from Search Logs for Effective Query Reformulation

Mining Term Association Patterns from Search Logs for Effective Query Reformulation. Xuanhui Wang and ChengXiang Zhai Department of Computer Science University of Illinois at Urbana-Champaign. Ineffective Queries. reduce space command latex. Effective Queries. squeeze space command latex.

348 views • 24 slides

ISP433/633 Week 3

363 views • 24 slides

Sources of Searching S kills of Business Students

Sources of Searching S kills of Business Students. A research study on. Authors. Muhammad Tariq Incharge Library Information Services PhD (Scholar), Hamdard University, Karachi tariqnajmi@ciitlahore.edu.pk Dr. Shafiq ur Rehman Assistant Professor, University of the Punjab, Lahore

304 views • 20 slides

Patent Track @ CLEF

Patent Track @ CLEF. John Tait, Chief Scientific Officer, IRF. The IRF Mission. To bridge the gap between information retrieval research and the world of professional search especially in patents and intellectual property To promote open research on very large scale information retrieval

331 views • 18 slides

Which Log for which Information? Gathering Multilinguality Data from Different Log File Types

304 views • 16 slides

SINAI-GIR A Multilingual Geographical IR System

285 views • 15 slides

Query Reformulation: User Relevance Feedback

Query Reformulation: User Relevance Feedback. Introduction. Difficulty of formulating user queries Users have insufficient knowledge of the collection make-up Users have insufficient knowledge of the retrieval environment Query reformulation to improve user query two basic methods

291 views • 13 slides

CLIPS-LIS-LSR Video search system (Grenoble, France)

240 views • 12 slides

Cross Language IR

Workshop on Challenges in Information Retrieval and Language Modeling Amherst, Massachusetts, September 11-12, 2002. Cross Language IR. Philip Resnik Salim Roukos. 2000. 2005. English. English. Chinese. Source: Global Reach. Global Internet User Population.

166 views • 5 slides