Topics in a corpus evolve in time. Describing the way this evolution occurs helps us to understand the change in the prominence of concepts: one can gain intuition about what concepts become more important in a given topic, which substitute others, or which concepts become related. By defining topics as weighted collections of concepts from a fixed taxonomy, it is possible to know if said evolu...

The goal of this PhD thesis is to elaborate methods for automatic keyphrase indexing with a controlled vocabulary. Keyphrases are single words or multi-word lexemes that concisely and accurately describe the subject or an aspect of the subject discussed in a document. They are widely used in large document collections such as digital libraries and document repositories. They help organize mater...

A new semantics is presented for the logic of proofs (LP), [1, 2], based on the intuition that it is a logic of explicit knowledge. This semantics is used to give new proofs of several basic results concerning LP. In particular, the realization of S4 into LP is established in a way that carefully examines and explicates the role of the + operator. Finally connections are made with the conventio...

Semantic tagging allows images to be linked with URIs from web resources. Disambiguating URIs which correspond with an image’s visual content is challenging. Previous work has largely failed to effectively contextualise the knowledge provided by the Semantic Web and the user-provided keyword tags in images. We propose an algorithm which uses geographical coordinates and keywords of similar imag...

We believe that successful co-operation between multi-agent systems providing services in a specific domain can be realized by constructing an infrastructure that supports the semantic interoperability between them. In this paper, we introduce a conceptual architecture for the semantic interoperability of multi-agent systems in the large-scale. The most important element of the proposed concept...

The adoption of Electronic Healthcare Records (EHRs) holds the key for the success of next generation intelligent healthcare systems to improve the quality of healthcare and patient safety by facilitating the exchange of critical patient’s episodic information among different stakeholders. The primary and secondary care healthcare systems store the episodic information for future reuse and for ...

The success of the Web service technology has brought topics such as software reuse and discovery once again on the agenda of software engineers. While there are several efforts towards automating Web service discovery and composition, many developers still search for services via online Web service repositories and then combine them manually. However, from our analysis of these repositories, i...

We have exploited semantic annotations of biological entities to develop a novel approach to infer new knowledge. We demonstrate this in four use cases based on the Gene Expression Ontology, an applied ontology that we developed to serve the needs of researchers involved in the analysis of genes and proteins implicated in transcriptional control of pathways/diseases. We have found that semantic...

Deep Web database clustering is a key operation in organizing Deep Web resources. Cosine similarity in Vector Space Model (VSM) is used as the similarity computation in traditional ways. However it cannot denote the semantic similarity between the contents of two databases. In this paper how to cluster Deep Web databases semantically is discussed. Firstly, a fuzzy semantic measure, which integr...