Distributed Knowledge Management Systems (DKMS) are often faced to heterogeneous environments associated with the absence of shared vocabularies. DKMSs realise Knowledge Flows between autonomous Knowledge Nodes as parts of social networks. Schwotzer models the KNs’ individual policies for input relevance and output strategy as Knowledge Ports. Topic Map Technologies are well suited for the sema...

Various ideas of data have emerged, expressed in practice through distinct vocabularies of data-related terms. This article develops a six-category taxonomy of these vocabularies, and illustrates how their terms are utilized in texts which relate to geographic information systems (GIS) in general, and to the HYDRA5 water catchment modeling system developed for the Sydney Water Corporation in pa...

Most libraries and other cultural heritage institutions use controlled knowledge organisation systems, such as thesauri, to describe their collections. Unfortunately, as most of these institutions use different such systems, unified access to heterogeneous collections is difficult. Things are even worse in an international context when concepts have labels in different languages. In order to ov...

This paper addresses the problem of EMbased decipherment for large vocabularies. Here, decipherment is essentially a tagging problem: Every cipher token is tagged with some plaintext type. As with other tagging problems, this one can be treated as a Hidden Markov Model (HMM), only here, the vocabularies are large, so the usual O(NV 2) exact EM approach is infeasible. When faced with this situat...

A vocabulary stores words, synonyms, word sense definitions (i.e. glosses), relations between word senses and concepts; such a vocabulary is generally referred to as the Controlled Vocabulary if choice or selections of terms are done by domain specialists. In our case,we create and match two controlled vocabularies by using their concept facet. This methodology is based on semantic matching whi...

Controlled and uncontrolled indexing terminology and metadata may be converted from one to another. Decision criteria are developed that can be used to determine which terms should be assigned when converting vocabularies. Methods are developed for computing the parameters of these systems, as well as means for estimating the parameters when given limited information. These conversion technique...

Faceted search is a powerful tool that enables searchers to easily and intuitively take advantage of controlled vocabularies structured metadata. has been widely implemented in library discovery interfaces provided many benefits users. The effectiveness facets catalogs depends on complex interaction between facet vocabularies, metadata quality structure, the interface’s capabilities. This artic...

Biomedical images published within the scientific literature play a central role in reporting and facilitating life science discoveries. Existing ontologies and vocabularies describing biomedical imag-­‐ es, particularly sequence images, do not provide sufficient seman-­‐ tic representation ...

Artificial neural networks (ANNs) are capable of accurate recognition of simple speech vocabularies such as isolated digits [1]. This paper looks at two more difficult vocabularies, the alphabetic E-set and a set of polysyllabic words. The E-set is difficult because it contains weak discriminants and polysyllables are difficult because of timing variation. Polysyllabic word recognition is aided...

The domain-specific track evaluates retrieval models for structured scientific bibliographic collections in English, German and Russian. Documents contain textual elements (title, abstracts) as well as subject keywords from controlled vocabularies, which can be used in query expansion and bilingual translation. Mappings between the different controlled vocabularies are provided. This year, new ...