Concept search, full-text search and annotation structure search in one scaleable index: "Mímir is a multi-paradigm information management index and repository which can be used to index and search over text, annotations, semantic schemas (ontologies), and semantic meta-data (instance data). It allows queries that arbitrarily mix full-text, structural, linguistic and semantic queries and that can scale to gigabytes of text. A typical semantic annotation project deals with large quantities of data of different kinds. Mímir provides a framework for implementing indexing and search functionality across all these data type."
Lexical ambiguity is a fundamental problem in Information Retrieval (IR), especially in the medical domain. Many systems use a subset of the words contained in the document to represent the content, but they are faced with the problem of ambiguity.
Lexical ambiguity is a fundamental problem in Information Retrieval (IR), especially in the medical domain. Many systems use a subset of the words contained in the document to represent the content, but they are faced with the problem of ambiguity.
H. Peter, H. Sack, and C. Beckstein. in Proc. of the 1st Semantic Authoring and Annotation Workshop (SAAW2006), Athens (GA), USA, (2006)location=Athens (GA), USA, date=2006.