Оценка результатов поиска семантически близких слов в Википедии

The classification of metrics and algorithms search for related terms via WordNet, Roget’s Thesaurus, and Wikipedia was extended to include adapted HITS algorithm. Evaluation experiments on Information Content and adapted HITS algorithm are described. The test collection of Russian word pairs with human-assigned similarity judgments is proposed.Классификация метрик и алгоритмов поиска семантически близких слов в тезаурусах WordNet, Роже и энциклопедии Википедия расширена адаптированным HITS алгоритмом. С помощью экспериментов в Википедии оценены метрика Резника, адаптированная к Википедии, и адаптированный алгоритм HITS. Предложен ресурс для оценки семантической близости русских слов

The Requirements for Ontologies in Medical Data Integration: A Case Study

Evidence-based medicine is critically dependent on three sources of information: a medical knowledge base, the patients medical record and knowledge of available resources, including where appropriate, clinical protocols. Patient data is often scattered in a variety of databases and may, in a distributed model, be held across several disparate repositories. Consequently addressing the needs of an evidence-based medicine community presents issues of biomedical data integration, clinical interpretation and knowledge management. This paper outlines how the Health-e-Child project has approached the challenge of requirements specification for (bio-) medical data integration, from the level of cellular data, through disease to that of patient and population. The approach is illuminated through the requirements elicitation and analysis of Juvenile Idiopathic Arthritis (JIA), one of three diseases being studied in the EC-funded Health-e-Child project.Comment: 6 pages, 1 figure. Presented at the 11th International Database Engineering & Applications Symposium (Ideas2007). Banff, Canada September 200