Similarity is a key concept for estimating associations among a set of objects. Music similarity is usually exploited to retrieve relevant items from a dataset containing audio tracks. In this work, we approach the problem of semantic similarity between short pieces of music by analysing their instrumentations. Our aim is to label audio excerpts with the most salient instruments (e.g. piano, hu...

This paper introduces a ruled-based method and software tool, called SemAligner, for aligning chunks across texts in a given pair of short English texts. The tool, based on the top performing method at the Interpretable Short Text Similarity shared task at SemEval 2015, where it was used with human annotated (gold) chunks, can now additionally process plain text-pairs using two powerful chunker...

In this paper we report on our on-going efforts in building SKELETOME – a community-driven knowledge curation platform for the skeletal dysplasia domain. SKELETOME introduces an ontologydriven knowledge engineering cycle that supports the continuous evolution of the domain knowledge. Newly submitted, undiagnosed patient cases undergo a collaborative diagnosis process that transforms them into w...

In this paper, we propose the application of Machine Learning (ML) methods to the Semantic Web (SW) as a mechanism to predict the correctness of semantic relations. For this purpose, we have acquired a learning dataset from the SW and we have performed an extensive experimental evaluation covering more than 1,800 relations of various types. We have obtained encouraging results, reaching a maxim...

Semantic Web applications and knowledge-based systems heavily rely on the use of up-to-date ontologies. To support their adequate evolution, methods must detect the changes of meanings in concepts over time. This article proposes exploiting domain-specific external source of knowledge to characterize the evolution of concepts in dynamic ontologies. Our original technique analyses the evolution ...

Nowadays, publishing data publically is an important for many purposes especially for scientific research. Publishing this data in its raw form make it vulnerable to privacy attacks. Therefore, there is a need to apply suitable privacy preserving techniques on the published data. K-anonymity and L-diversity are well known techniques for data privacy preserving. These techniques cannot face the ...

One of the means to reach a Semantic Web is to add some machine readable meta-data to documents (semantic annotations) and/or to improve the performance of information retrieval applications thanks to the use of semantic resources such as terminologies and ontologies. This position paper promotes the idea that these semantic resources cannot be universal but should rather be domain and even tas...

This paper describes the development of a prototype system to answer questions by selecting sentences from the documents in which the answers occur. After parsing each sentence in these documents, databases are constructed by extracting relational triples from the parse output. The triples consist of discourse entities, semantic relations, and the governing words to which the entities are bound...

In this paper, we present a tool, called SemKPSearch, for searching documents by a query keyphrase and keyphrases that are semantically related with that query keyphrase. By relating keyphrases semantically, we aim to provide users an extended search and browsing capability over a document collection and to increase the number of related results returned for a keyphrase query. Keyphrases provid...

We investigate the problem of evaluating the correctness of a semantic relation and propose two methods which explore the increasing number of online ontologies as a source of evidence for predicting correctness. We obtain encouraging results, with some of our measures reaching average precision values of 75%.