consulting companies are encountered with many problems when they are supposed to generate a new document, e.g. a new request for proposal (rfp). they already have the building blocks of these new requests but they are buried as implicit knowledge in the unorganized documents of the company. in this paper it is shown how one can use semantic technology in knowledge and content management in ord...

Categorical compositional distributional models unify compositional formal semantic models and distributional models by composing phrases with tensor-based methods from vector representations. For the tensor-based compositions, Milajevs et al. (2014) showed that word vectors obtained from the continuous bag-of-words (CBOW) model are competitive with those from co-occurrence based models. Howeve...

In this paper, we study the problem of learning new compositions of words from given ones with a specific syntactic structure, e.g., A-N or V-N structures. We first cluster words according to the given compositions, then construct a cluster-based compositional frame for each word cluster, which contains both new and given compositions relevant with the words in the cluster. In contrast to other...

To cope with the evergrowing number of colocated networks and the density they exhibit, we introduce symbiotic networks— networks that intelligently share resources and autonomously adapt to the dynamicity thereof. By allowing the software services provided in such networks to operate in an equally symbiotic manner, new opportunities for the so-called service compositions arise, which take adva...

We propose a composition and verification framework for Semantic Web Services specified using WSSL, a novel service specification language based on the fluent calculus, that addresses issues related to the frame, ramification and qualification problems. These deal with the succinct and flexible representation of non-effects, indirect effects and preconditions, respectively. The framework exploi...

Despite much recent interest in the clinical neuroscience of music processing, the cognitive organization of music as a domain of non-verbal knowledge has been little studied. Here we addressed this issue systematically in two expert musicians with clinical diagnoses of semantic dementia and Alzheimer's disease, in comparison with a control group of healthy expert musicians. In a series of neur...

Obtaining samples that represent original fluid of reservoirs optimizes reservoirs management. The optimized management increases recovery. Also, selecting and performing proper Improved Oil Recovery (IOR) or Enhance Oil Recovery (EOR) programs depend on collecting representative samples. Achieving accurate compositions of original in-situ fluid prevents overdesigning surface facilities. Re...

This contribution proposes a compositionality architecture for visual object categorization, i.e., learning and recognizing multiple visual object classes in unsegmented, cluttered real-world scenes. We propose a sparse image representation based on localized feature histograms of salient regions. Category specific information is then aggregated by using relations from perceptual organization t...

Today, service compositions often need to be assembled or changed on-the-fly, which leaves only little time for quality assurance. Moreover, quality assurance is complicated by service providers only giving information on their services in terms of domain specific concepts with only limited semantic meaning. In this paper, we propose a method to construct service compositions based on pre-verif...