A Streamlined Pipeline to Enable the Semantic Exploration of a Bookstore

Searching in a library or book catalog is a recurrent task for researchers and common users alike. Thanks to semantic enrichment techniques, such as named-entity recognition and linking, texts may be automatically associated with entities in some reference knowledge graph(s). The association of a corpus of texts with a knowledge graph opens up the way to searching/exploring using novel paradigms. We present a pipeline that uses semantic enrichment and knowledge graph visualization techniques to enable the semantic exploration of an existing text corpus. The pipeline is meant to be ready for use and consists of existing free software tools and free software code contributed by us. We are developing and testing the pipeline on the field, by using it to access the catalog of a bookstore specialized in ancient Rome history

Results of external quality control study in flow cytometric acute lymphoblastic leukemia diagnostics

Comparison of interpretation of acute lymphoblastic leukemia (ALL) flow cytometric diagnostics data was the aim of the study. Immunophenotyping data obtained from 10 patients with ALL were analysed separately in 26 laboratories from Russian Federation and Kazahstan. Results comparison showed four main type of discordance: B-lineage ALL diagnostics during heavy bone marrow regeneration, great variability of T-ALL interpretation, complexity of ambiguous lineage acute leukemia and, finally, very different report types, unique for each laboratory. All these problems are the serious obstacles for standardization of flow cytometric ALL diagnostics in multicenter setting. Continuation of similar QC rounds following by consecutive discussions with further development of consensus diagnostic algorithm could be the first step for standardization of ALL immunophenotyping in Russian Federation and CIS countries