Statistical methods for automated document indexing are becoming an alternative to the manual assignment of keywords. We argue that the quality of the thesaurus used as a basis for indexing in regard to its ability to adequately cover the contents to be indexed and as a basis for the specific indexingmethod used is of crucial importance in automatic indexing.We present an interactive tool for t...

This paper presents an approach on high-level feature detection using a region thesaurus. MPEG-7 features are locally extracted from segmented regions and for a large set of images. A hierarchical clustering approach is applied and a relatively small number of region types is selected. This set of region types defines the region thesaurus. Using this thesaurus, low-level features are mapped to ...

By integrating design schemes, we conciliate several designs of the same real world done concurrently. These designs provide structural and semantic knowledge. To take into account the semantic of knowledge throughout the integration process, we have elaborate a fuzzy thesaurus, which allows to collect the semantic of the design-scheme knowledge, in order to nd the words wich are semantically c...

The development of the theory of library classification and of subject indexing, for the organisation, storage and retrieval of subjects embodied in documents has a striking parallelism to the search for 'universal forms' and deep structure'ln language and linguistic studies. The significant contributions o f the theories o f classification and subject indexing are the subject analysis techniqu...

This paper presents a model to enrich an ontology with a thesaurus based on a domain corpus and WordNet. The model is applied to the data privacy domain and the initial domain resources comprise a data privacy ontology, a corpus of privacy laws, regulations and guidelines for projects. Based on these resources, a thesaurus is automatically generated. The thesaurus seeds are composed by the onto...

It is not possible to organize knowledge using universalistic knowledge theories in accordance with any realistic theory and it is not possible to represent knowledge in a thesaurus structure simply because the thesaurus is too rigid to compensate for the conceivable bearings of a concept. Furthermore the author does not believe that knowledge is actually organized the same way that a thesaurus...

Brain tumors' treatment and prognosis depend to a large extent on their grades. Grading tumors follows a set of rules that refers to domain knowledge. Developing an automatic grading system requires explicit and formal representation of the domain. The NCI Thesaurus is the major ontological resource in the cancer domain. However, the description of brain tumors and grades in the NCI Thesaurus d...

Searching specialized collections, such as biomedical literature, typically requires intimate knowledge of a specialized terminology. Hence, it can be a disappointing experience: not knowing the right terms to use and being unaware of synonyms or variations in terminology might result in low recall scores. We study the role of a thesaurus in the biomedical information retrieval process. We star...

Information Retrieval (IR) covers the problems relating to the effective storage, access, searching and locating documents that are relevant for user’s information need or query from large collection documents. Many techniques and tools have been developed to improve these processes. One of these tools is the thesaurus. This paper will present a tool for users to build thesauri according to the...

The NLM MeSH Thesaurus has been incorporated for use in the PORTAL-DOORS System (PDS) for resource metadata management on the semantic web. All 25588 descriptor records from the NLM 2010 MeSH Thesaurus have been exposed as web accessible resources by the PDS MeSH2010 Thesaurus implemented as a PDS PORTAL Registry operating as a RESTful web service. Examples of records from the PDS MeSH2010 PORT...