I will claim that Semantic Web Patterns can drive the next technological breakthrough: they can be key for providing intelligent applications with sophisticated ways of interpreting data. I will picture scenarios of a possible not so far future in order to support my claim. I will argue that current Semantic Web Patterns are not sufficient for addressing the envisioned requirements, and I will ...

In this paper we explore the use of semantics to improve diversity in recommendations. We use semantic patterns extracted from Linked Data sources to surface new connections between items to provide diverse recommendations to the end users. We evaluate this methodology by adopting a bottom-up approach, i.e. we ask users of a crowdsourcing platform to choose a movie recommendation from among fiv...

ISSUESIN DISCOVERING KNOWLEDGE IN BIBLIOGRAPHIC databases are addressed. An example of semantic pattern analysis is used to demonstrate the methodological aspects of knowledge discovery in bibliographic databases. The semantic pattern analysis is based on the keywords selected from the documents grouped by bibliographical coupling. The frequency distribution patterns suggest the existence of a ...

In this paper, we propose a new feature extraction technique for program execution logs. First, we automatically extract complex patterns from a program’s behavior graph. Then, we embed these patterns into a continuous space by training an autoencoder. We evaluate the proposed features on a real-world malicious software detection task. We also find that the embedding space captures interpretabl...

Within the past few years, many patterns and principles have been proposed towards the enhancement of search user interfaces and experience. However, to access and explore information efficiently is still significantly challenging. Recently, we have seen the rise of a new kind of information retrieval approach, the so-called semantic search systems. These systems promise more accurate results w...

This article presents representation of knowledge patterns in RDF language. The approach to knowledge representation can be used in Semantic Web as a tool of finding some additional RDF assertions in the frame of linked data. The article introduces the term “knowledge pattern” and dividing the knowledge patterns into two groups – to Top-level knowledge patterns and to Domain knowledge patterns....

This paper reports the description and scores of our system, FBK-TR, which participated at the SemEval 2014 task #1 "Evaluation of Compositional Distributional Semantic Models on Full Sentences through Semantic Relatedness and Entailment". The system consists of two parts: one for computing semantic relatedness, based on SVM, and the other for identifying the entailment values on the basis of b...

A knowledge representation formalism for SLU is introduced. It is used for incremental and partially automated annotation of the Media corpus in terms of semantic structures. An automatic interpretation process is described for composing semantic structures from basic semantic constituents using patterns involving constituents and words. The process has procedures for obtaining semantic composi...

Patients with Alzheimer's disease (AD) were asked to name pictures and perform a multiplechoice word-picture matching task with verbs and nouns. AD patients were significantly more impaired with verbs than nouns for both naming and word-picture matching, and their patterns of semantic naming errors differed for verbs and nouns. One subgroup of AD patients was compromised on both naming and word...