Ontologies' Closures Modeling by Formalisms of Semantic Hierarchies

Schemes are studied for modeling the complex knowledge structures as synthesized from knowledge areas ontologies elements. These structures applications relate to knowledge life cycles and knowledge flows stages within intelligent systems. The format of semantic hierarchies is proposed as unified and universal for the synthesis of these structures. This allows replacing the general case of knowledge algebraic structures by special case of semantic hierarchies. Constructing the synthesized knowledge structures is performed by special operations knowledge alge­braic structures in any knowledge representation formalisms. These operations simulate fundamental mathematical systems functional aspects. They are adapted to the knowledge formalisms attributes. Attributes are explored within different knowledge areas. They associated generally with thinking operations and mind memory structure. Datasets (operations bases) of synthesis processes operations are constructed as special classes of knowledge with a uniform structure. Ontologies for considered knowledge areas are used as source of such bases constructing. Ontologies closures are defined as sets of knowledge that may be constructed off ontologies elements by synthesis operations. They determine the ontologies expressive capabilities. The constructs and operations over ontologies, that proposed at descriptive logics, can be modelled by knowledge complete structural representations, adopted for semantic hierarchies formalisms. Such formalisms are convenient for simulating knowledge presentation and processing. They form foundation for constructing intelligent systems abstract and applied models.. The possibility is proved for trans­ferring the knowledge properties and knowledge processing schemes at semantic hierarchies to the general case of knowledge algebraic structures. The schemes for modeling the ontological constructions as semantic hierarchies are given. This proves possibility of applying such formalisms as the basis for modeling synthesis processes in ontolo­gies. Such schemes allow constructing the ontologies closures as generated by knowledge-processing operations sequences. Last fact means possibility for formalisms of semantic hierarchies to be uniform foundation of modelling the knowledge flows and knowledge transforming processes by intelligent systems.

Capturing the Spatial Relatedness of Long-Distance Caregiving: A Mixed-Methods Approach

Long-distance caregiving (LDC) is an issue of growing importance in the context of assessing the future of elder care and the maintenance of health and well-being of both the cared-for persons and the long-distance caregivers. Uncertainty in the international discussion relates to the relevance of spatially related aspects referring to the burdens of the long-distance caregiver and their (longer-term) willingness and ability to provide care for their elderly relatives. This paper is the result of a first attempt to operationalize and comprehensively analyze the spatial relatedness of long-distance caregiving against the background of the international literature by combining a longitudinal single case study of long-distance caregiving person and semantic hierarchies. In the cooperation of spatial sciences and geoinformatics an analysis grid based on a graph-theoretical model was developed. The elaborated conceptual framework should stimulate a more detailed and precise interdisciplinary discussion on the spatial relatedness of long-distance caregiving and, thus, is open for further refinement in order to become a decision-support tool for policy-makers responsible for social and elder care and health promotion. Moreover, it may serve as a starting point for the development of a method for the numerical determination of the long-distance caregivers on different spatial reference scales.

Image Collection Summarization Method Based on Semantic Hierarchies

The size of internet image collections is increasing drastically. As a result, new techniques are required to facilitate users in browsing, navigation, and summarization of these large volume collections. Image collection summarization methods present users with a set of exemplar images as the most representative ones from the initial image collection. In this study, an image collection summarization technique was introduced according to semantic hierarchies among them. In the proposed approach, images were mapped to the nodes of a pre-defined domain ontology. In this way, a semantic hierarchical classifier was used, which finally mapped images to different nodes of the ontology. We made a compromise between the degree of freedom of the classifier and the goodness of the summarization method. The summarization was done using a group of high-level features that provided a semantic measurement of information in images. Experimental outcomes indicated that the introduced image collection summarization method outperformed the recent techniques for the summarization of image collections.

Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction

Knowledge graph embedding, which aims to represent entities and relations as low dimensional vectors (or matrices, tensors, etc.), has been shown to be a powerful technique for predicting missing links in knowledge graphs. Existing knowledge graph embedding models mainly focus on modeling relation patterns such as symmetry/antisymmetry, inversion, and composition. However, many existing approaches fail to model semantic hierarchies, which are common in real-world applications. To address this challenge, we propose a novel knowledge graph embedding model—namely, Hierarchy-Aware Knowledge Graph Embedding (HAKE)—which maps entities into the polar coordinate system. HAKE is inspired by the fact that concentric circles in the polar coordinate system can naturally reflect the hierarchy. Specifically, the radial coordinate aims to model entities at different levels of the hierarchy, and entities with smaller radii are expected to be at higher levels; the angular coordinate aims to distinguish entities at the same level of the hierarchy, and these entities are expected to have roughly the same radii but different angles. Experiments demonstrate that HAKE can effectively model the semantic hierarchies in knowledge graphs, and significantly outperforms existing state-of-the-art methods on benchmark datasets for the link prediction task.

dom as a syntax-pragmatics interface marker

Building on the display of dom in Catalan and focusing on the Balearic variety, this paper explores this phenomenon arguing for a discourse-driven marking, showing that the assumption that semantic hierarchies as crucial triggers for dom cannot be assumed anymore. We aim to present some ideas to address the correlation between prepositional markings and peripheral positions and to provide arguments for a syntax-pragmatics approach to dom in Clitic Dislocation. Our data shed light on the link between information structure – in particular, anaphoricity- and marked objects. This analysis would also account for other markers (i.e. de) available as a mechanism for signalling the same [+anaphoric] feature.

Contact effects on the technical lexis of Middle English: a semantic hierarchic approach

In the context of multilingualism in later medieval Britain, the influx of French terminology into the emerging technical vocabulary of Middle English is likely to have produced synchronous synonyms. For functional reasons, some native terms are expected to be dropped from the language, others to undergo differentiation through semantic shift. A significant proportion of the French borrowings are often seen as having been new technical terms, but earlier historical research on the nature of technical vocabulary in English has not clearly characterized this lexical domain; ways are therefore explored here of identifying technical terminology in this period. Definitions contained in historical dictionaries, principally theMiddle English Dictionary, provide the main diagnostic, specificity of meaning. As a case study, borrowings in a technical register are examined using the terms contained in the subdomain ‘Instruments’ within the Middle English vocabulary for Building (extracted from theBilingual Thesaurus of Everyday Life in Medieval Englandproject) supplemented with lexis from theHistorical Thesaurus. Utilizing the components of meaning in theMiddle English Dictionaryand theOxford English Dictionarydefinitions, the lexical items are classified into semantic hierarchies as was done for theHistorical Thesaurus of the Oxford English Dictionary. In addition to dates of first usage, etymological information about the lexical items is included in the semantic hierarchies, allowing analysis of patterns of replacement by borrowed terms at different levels of the lexicon. It is found that the impact of French on the native lexicon in this dataset is most evident at the superordinate and basic levels of the lexicon, where we find almost equal numbers of native and borrowed terms, while at the hyponymic level native terms are in the vast majority. The study provides an insight into the vocabulary of speakers of the Middle English period with a high level of experience and expertise in technical fields and the findings suggest a resistance to borrowed vocabulary not at the lowest section of the social stratum, but rather by the class of skilled workers.