This paper describes a natural language system START. The system analyzes English text and automatically transforms it into an appropriate representation, the knowledge base, which incorporates the information found in the text. The user gains access to information stored a • in the knowledge base by querying it in English. The system analyzes W the query and decides through a matching process ...

This paper describes the retrieval of correct semantic boundaries for predicateargument structures annotated by dependency structure. Unlike phrase structure, in which arguments are annotated at the phrase level, dependency structure does not have phrases so the argument labels are associated with head words instead: the subtree of each head word is assumed to include the same set of words as t...

This paper introduces NETSPEAK, a Web service which assists writers in finding adequate expressions. To provide statistically relevant suggestions, the service indexes more than 1.8 billion n-grams, n ≤ 5, along with their occurrence frequencies on the Web. If in doubt about a wording, a user can specify a query that has wildcards inserted at those positions where she feels uncertain. Queries d...

In this work we introduce a novel retrieval language, named OntoPath, for specifying and retrieving relevant ontology fragments. This language is intended to extract customized self-standing ontologies from very large, general-purpose ones. Through OntoPath, users can specify the desired detail level in the concept taxonomies as well as the properties between concepts that are required by the t...

The Artificial Intelligence in Medical Applications (AIM) project at the Department of Computer Science and Electronics (IDE) officially started in january 2002 and is mainly externally funded. A three year grant from Kunskap och Kompetens Stiftelsen (KKS) 1 was granted in mid 2001 for the funding of two doctoral students in Artificial Intelligence (AI). Additional funding was matched by PBM St...

A large amount of biomedical information is available to researchers today, and it is continuously increasing. As a result, researchers widely agree that the ability to precisely retrieve desired information is vital to use the available knowledge. A way to achieve this is providing a retrieval system that is not only able to retrieve the available and sought information, but also to filter out...

presents the mechanism for query processing and retrieval with the measures used for the similarity analysis of the indexing structures. Section 6 describes an experiment conducted to evaluate the effectiveness of the proposed approach. Section 7 summarizes related work in the area of re-use systems. Section 8 concludes the paper with some remarks on planned experiments with the system and furt...

Similarity metrics is a central issue in automatic reasoning system, especially in case-based reasoning and analogical reasoning. This paper proposes a method of similarity metrics by focusing the similarity of features of problems which are represented by frame knowledge expressions. For retrieving the most similar previous case and adapting it in solving new problem, we think that similarity ...

An automated, user-friendly and accurate system for retrieving herb-drug interaction (HDIs) related articles in MEDLINE can increase the safety of patients, as well as improve the physicians' article retrieving ability regarding speed and experience. Previous studies show that MeSH based queries associated with negative effects of drugs can be customized, resulting in good performance in retrie...

Distributed multimedia presentation enables users to view a multimedia presentation in the distributed manner, in which the objects of the presentation are located in remote sites. User-interaction provi des the viewer with convenient viewing styles like fast forward and fast backward for a presentation, but it also introduces complexity to the data-retrieving engine. A smart data-retrieving en...