Information retrieval can be achieved through computerized processes by generating a list of relevant responses to a query. The document processor, matching function and query analyzer are the main components of an information retrieval system. Document retrieval system is fundamentally based on: Boolean, vector-space, probabilistic, and language models. In this paper, a new methodology for mat...

Information retrieval can be achieved through computerized processes by generating a list of relevant responses to a query. The document processor, matching function and query analyzer are the main components of an information retrieval system. Document retrieval system is fundamentally based on: Boolean, vector-space, probabilistic, and language models. In this paper, a new methodology for mat...

Content-based visual information retrieval (CBVIR) as a new generation (with new concepts, techniques, mechanisms, etc.) of visual information retrieval has attracted many interests from the database community. The research starts by using a low-level feature from more than a dozen years ago. The current focus has shifted to capture high-level semantics of visual information. This chapter will ...

during endodontic treatment, clinicians may face endodontic procedural mishaps such as broken instruments, which is a complex situation especially when the file breaks beyond the apex. this condition is associated with potential risk of contamination, which compromises the healing process. management of a broken instrument beyond the apex is difficult and time consuming and requires creativity ...

This paper presents empirical results in cross-lingual information retrieval using English queries to access Chinese documents (TREC-5 and TREC-6) and Spanish documents (TREC-4). Since our interest is in languages where resources may be minimal, we use an integrated probabilistic model that requires only a bilingual dictionary as a resource. We explore how a combined probability model of term t...

In previous works, we have presented the advantages of using a domain ontology and annotations on information retrieval as well as the translation problems between languages with different expression semantic levels. In this paper, we extend our previous work, presenting a return on experience and focusing on the viewpoint of the end-user. In fact, we explore the impact and helpfulness of a dom...

This paper describes our system and additional experimental results in NTCIR-4 QAC Task 1. The main components of our system are question classification, passage retrieval, and named entity extraction. Passage retrieval was performed by a density-based ranking method based on importance of query terms occurred in the passage. Question classification and Named entity extraction were designed by ...

In our participation in the CLEF 2014 eHealth task 3a, we investigate the effectiveness of concept-based retrieval techniques on medical IR. Concepts are determined using the existing resources and tools: UMLS Metathesaurus and MetaMap. We tested several methods based on concepts. Although some of these methods lead to slight improvements in retrieval effectiveness over a traditional bag-of-wor...

This article provides an overview of recent developments relating to the application of thesauri in information organisation and retrieval on the World Wide Web. It describes some recent thesaurus projects undertaken to facilitate resource description and discovery and access to wide-ranging information resources on the Internet. Types of thesauri available on the Web, thesauri integrated in da...

Digital resource sharing is a contemporary trend in Medical Education. State-of-the-art digital resources are incrementally appearing in the majority of curriculums worldwide. Institutional repositories have been initiated and metadata descriptions of digital resources have been turned into standards, however sharing, retrieval and re-use across different institutions are still at infant stage,...