The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Authoritative sources in a hyperlinked environment
Proceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms
A hybrid approach for searching in the semantic web
Proceedings of the 13th international conference on World Wide Web
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Probabilistic ranking of database query results
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Language-model-based ranking for queries on RDF-graphs
Proceedings of the 18th ACM conference on Information and knowledge management
Effective and efficient structured retrieval
Proceedings of the 18th ACM conference on Information and knowledge management
Using Naming Authority to Rank Data and Ontologies for Web Search
ISWC '09 Proceedings of the 8th International Semantic Web Conference
The Probabilistic Relevance Framework: BM25 and Beyond
Foundations and Trends in Information Retrieval
Hybrid search: effectively combining keywords and semantic searches
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
Hierarchical link analysis for ranking web data
ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part II
Searching and Generating Authoring Information: A Hybrid Approach
International Journal of Information Technology and Web Engineering
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A growing amount of structured data is published on the Web and complements the textual content. Searching the textual content is performed primarily by the means of keyword queries and Information Retrieval methods. Structured data allow database-like queries for retrieval. Since structured and unstructured data occur often as a combination of both, are embedded in each other, or are complementary, the question of how search can take advantage of this hybrid data setting arises. Of particular interest is the question of how ranking as the algorithmic decision of what information is relevant for a given query can take structured and unstructured data into account by also allowing hybrid queries consisting of structured elements combined with keywords. I propose to investigate this question in the course of my PhD thesis.