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Search results for: ONTOLOGY LEARNING
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Anticancer Imidazoacridinone C-1311 is Effective in Androgen-Dependent and Androgen-Independent Prostate Cancer Cells
PublicationAndrogen receptor (AR) plays a crutial role in prostate cancer (PCa) development and metastasis. Here, we reported potent anti-PCa activity of a small molecule imidazoacridinone C-1311. In AR-positive PCa cells, C-1311 was found to inhibit the transcriptional activity of AR uncovering a novel mechanism that may be relevant for its anticancer effect. Mechanistically, C-1311 decreased AR binding to prostate-specific antigen (PSA)...
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Model of an Integration Bus of Data and Ontologies of Smart Cities Processes
PublicationThis paper presents a model of an integration bus used in the design of Smart Cities system architectures. The model of such a bus becomes necessary when designing high-level architectures, within which the silo processes of the organization should be seen from the perspective of its ontology. For such a bus to be used by any city, a generic solution was proposed which can be implemented as a whole or in part depending on the requirements...
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Ontology of the Design Pattern Language for Smart Cities Systems
PublicationThe paper presents the definition of the design pattern language of Smart Cities in the form of an ontology. Since the implementation of a Smart City system is difficult, expensive and closely linked with the problems concerning a given city, the knowledge acquired during a single implementation is extremely valuable. The language we defined supports the management of such knowledge as it allows for the expression of a solution...
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Context-aware User Modelling and Generation of Recommendations in Recommender Systems
PublicationRecommender systems are software tools and techniques which aim at suggesting new items that may be of interest to a user. This dissertation is focused on four problems in recommender systems domain. The first one is context-awareness, i.e. how to obtain relevant contextual information, how to model user preferences in a context and use them to make predictions. The second one is multi-domain recommendation, which aim at suggesting...
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Semantic modeling of contextual augmented reality environments
PublicationDespite significant progress in the field of augmented reality (AR), regarding both hardware and software, there is still a lack of universal models and methods that would enable building ubiquitous AR systems that could be used anywhere and anytime, covering different application areas. This dissertation describes a new approach to building AR systems, called the Contextual Augmented Reality Environment (CARE). The CARE approach...
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An Analysis of Contextual Aspects of Conceptualization: A Case Study and Prospects
PublicationIn this chapter we present a new approach to development of modularized knowledge bases. We argue that modularization should start from the very beginning of modeling, i.e. from the conceptualization stage. To make this feasible, we propose to exploit a context-oriented, semantic approach to modularization. This approach is based on the Structural Interpretation Model (SIM) presented earlier elsewhere. In the first part of thischapter...
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Keratinocyte-derived small extracellular vesicles supply antigens for CD1a-resticted T cells and promote their type 2 bias in the context of filaggrin insufficiency
PublicationIntroduction: Exosome-enriched small extracellular vesicles (sEVs) are nanosized organelles known to participate in long distance communication between cells, including in the skin. Atopic dermatitis (AD) is a chronic inflammatory skin disease for which filaggrin (FLG) gene mutations are the strongest genetic risk factor. Filaggrin insufficiency affects multiple cellular function, but it is unclear if sEV-mediated cellular communication...
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Automatyczna budowa taksonomii usług w oparciu o ich głosy w języku naturalnym oraz przy uzyciu zewnętrznych źródeł wiedzy
PublicationPrzedstawiono propozycję metody automatycznej budowy taksonomiiusług na podstawie ich opisów w języku naturalnym, w oparciu ometodę analizy formalnych koncepcji (FCA). Dodatkowo przedstawione rozwiązanie przewiduje możliwość skorzystania z zewnętrznych źródeł wiedzy takich jak Wikipedia, Word Net, ConceptNet lub globalnej sieci WWW w celu eliminacji problemu niepełnych danych wejściowych (ang. data sparseness).
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