This paper evaluates a system, UBMedTIRS, for retrieval of medical images. The system uses a combination of image and text features as well as mapping of free text to UMLS concepts. UBMedTIRS combines three publicly available tools: a content-based image retrieval system (GIFT), a text retrieval system (SMART), and a tool for mapping free text to UMLS concepts (MetaMap). The system is evaluated...

This work was part of SUNY at Buffalo’s overall participation in cross-language retrieval of image collections (ImageCLEF). Our main goal was to explore the combination of Content-Based Image Retrieval (CBIR) and text retrieval of medical images that have clinical annotations in English, French and German. We used a system that combined the content-based image retrieval system GIFT and the well...

With interest in music information retrieval increasing the need for retrieval systems unique to music is also growing. Despite its unique properties music shares many similarities with text. The goal of this paper is to explore some of the capabilities and limitations of current text information retrieval systems as applied to the task of music retrieval. Monophonic music is converted into tex...

Abstract. This paper describes the participation of RICOH in the monolingual and cross-lingual information retrieval tasks on German Indexing and Retrieval Testdatabase (GIRT) in the Cross-Language Evaluation Forum (CLEF) 2004. We used a morphological analyzer for word decompounding and parallel corpora for cross-lingual information retrieval. The performance of cross-lingual information retrie...

In November of 1992 the first Text REtrieval Conference (TREC-1) was held at NIST [Harman 1993]. The conference, co-sponsored by ARPA and NIST, brought together information retrieval researchers to discuss their system results on a new large test collection (the TIPSTER collection). This conference became the first in a series of ongoing conferences dedicated to encouraging research in retrieva...

Using several simplifications of the vector-space model for text retrieval queries, the authors seek the optimal balance between processing efficiency and retrieval effectiveness as expressed in relevant document rankings. fficient and effective text retrieval techniques are critical in managing the increasing amount of textual information available in electronic form. Yet text retrieval is a d...