Semantic Web search based on ontological conjunctive queries
Web Semantics: Science, Services and Agents on the World Wide Web
Ontology-based semantic search on the Web and its combination with the power of inductive reasoning
Annals of Mathematics and Artificial Intelligence
SWSNL: Semantic Web Search Using Natural Language
Expert Systems with Applications: An International Journal
A bottom-up, knowledge-aware approach to integrating and querying web data services
ACM Transactions on the Web (TWEB)
Searching semantic data warehouses: models, issues, architectures
Proceedings of the 2nd International Workshop on Semantic Search over the Web
Exploratory search framework for Web data sources
The VLDB Journal — The International Journal on Very Large Data Bases
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Web search is a key technology of the Web, since it is the primary way to access content on the Web. Current standard Web search is essentially based on a combination of textual keyword search with an importance ranking of the documents depending on the link structure of the Web. For this reason, it has many limitations, and there are a plethora of research activities towards more intelligent forms of search on the Web, called semantic search on the Web, or also Semantic Web search. In this paper, we give a brief overview of existing such approaches, including own ones, and sketch some possible future directions of research.