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SemSearch 11       About      Program   Topics of Interest   Program Committee

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Introduction
State of the art
An overview of SemSearch
The Google-like query interface
Making sense of the user query
Translating the user query into formal queries
Implementation and experimental evaluation
Conclusions and future work
1st Workshop on Semantic Search
2nd Workshop on Semantic Search
3rd Workshop on Semantic Search
4th Workshop on Semantic Search
 
Topics of Interests

Semantic Search is defined through two main directions. First is Semantic-driven IR, the application of semantic technologies to the IR problem. The second is Semantic Data Search, which mainly deals with the retrieval of semantic data. Main topics of interest for the envisioned workshop contributions include (but are not limited to) the following:

Semantic-driven IR
  • Expressive Document Models
  • Knowledge Extraction for Building Expressive Document Representation
  • Matching and Ranking based on Expressive Document Representation
  • Infrastructure for Semantic-driven IR
Semantic Data Search
  • Crawling, Storage and Indexing of Semantic Data
  • Semantic Data Search and Ranking
  • Data Web Search: Search in Multi-Data-Source, Multi-Repository Scenarios
  • Dealing with Vague, Incomplete and Dirty Semantic Data
  • Infrastructure for Searching Semantic Data on the Web
Interaction Paradigms for Semantic Search
  • Natural Language Interfaces
  • Keyword-based Query Interfaces
  • Hybrid Query Interfaces (A Combination of NL, Keywords, Forms, Facets, and Formal Queries)
  • Visualization of Semantic Data and Expressive Document Representation on the Web
Evaluation of semantic search
  • Evaluation Methodologies for Semantic Search
  • Standard Datasets and Benchmarks for Semantic Search
  • Infrastructure for Semantic Search Evaluation