Semantic Search Workshop 2010
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See: Semantic Search, Academic Workshop, 2010, SemSearch2010, Entity Search Benchmark Task, Billion Triple Challenge 2009 Dataset.
References
- http://km.aifb.uni-karlsruhe.de/ws/semsearch10/#eva
- Topics of Interest
- 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
- Topics of Interest