ATEC '99 Proceedings of the annual conference on USENIX Annual Technical Conference
Semantic annotation, indexing, and retrieval
Web Semantics: Science, Services and Agents on the World Wide Web
DoCQS: a prototype system for supporting data-oriented content query
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
QUICK: expressive and flexible search over knowledge bases and text collections
Proceedings of the VLDB Endowment
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An increasing number of systems provide the ability to semantically annotate documents. OpenCalais [4], Evri API [2], Zemanta [6], and Alchemy API [1] are web-hosted systems that return annotated documents, i. e. documents with annotations that are overlayed on the document structure. Many of the annotations can be linked to standard ontologies, such as DBpedia and YAGO. These annotations give insight as to the meaning of documents in a variety of ways, identifying entities and relationships inside them, classifying them according to topic or theme, and giving the attitude or sentiment of a document or document fragment. In order for users (or applications) to make use of these annotations with a means to access and manipulate documents that contain them, we provide a query language for doing this and demonstrate its utility on a demo system built on top of diverse semantic annotators and external ontologies. We explain how integrating semantic annotations and utilizing external knowledge helps in increasing the quality of query answers over annotated documents by both filtering out irrelevant answers and obtaining extra answers that are not explicitly available in the annotated documents.