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OCCAMS is a new algorithm for the Multi-Document Summarization (MDS) problem. We use Latent Semantic Analysis (LSA) to produce term weights which identify the main theme(s) of a set of documents. These are used by our heuristic for extractive sentence selection which borrows techniques from combinatorial optimization to select a set of sentences such that the combined weight of the terms covered is...
In this paper we introduce an algorithmic approach, capable of creating a semantic network with concatenated terms and phrases (hash tags) from collectively postings on the Twitter sphere. This network could be exploited for query expansion provision in respect to users¢ information needs, without considering any other prior knowledge or access in search logs or browsing history records. For evaluation...
Semantic similarity measures aim at computing a value that represents to what extent two semantic resources are similar. This paper proposes an extension of a semantic similarity measure for large linked data sources such as DBPedia. In order to evaluate and compare similarity measures, an experiment is described to collect human evaluations of the similarity between pairs of movies. A correlation...
Probabilistic latent semantic analysis (PLSA) has been widely used in the machine learning community. However, the original PLSAs are not capable of modeling real-valued observations and usually have severe problems with over fitting. To address both issues, we propose a novel, regularized Gaussian PLSA (RG-PLSA) model that combines Gaussian PLSAs and hierarchical Gaussian mixture models (HGMM). We...
Nowadays, activity recognition has been proposed in several researches. It is attractive to improve the ability of the activity recognition system because existing research on activity recognition systems still have an error in an ambiguous cases. In this paper, we introduce the novel technique to improve the activity recognition system in smart home domain. We propose the three contributions in this...
This paper reports the results of the ARISTOTELE methodology for decision support on Human Resource Management and, in particular, of one of the most important tool of the methodology, i.e. the Relevance Analysis. The Relevance Analysis is devoted at providing a systemic way to map human resources on the basis of their relevance in an organization, and take informed decisions. We have defined a model...
Evaluating Semantic similarity has a widely application areas range from Psychology, Linguistics, Cognitive Science to Artificial Intelligence. This paper proposes the merely use of HowNet to evaluate Information Content (IC) as the semantic similarity of two terms or word senses. While the conventional ways of measuring the IC of word senses must depend on both an ontology like WordNet and a large...
Emotion estimation from sentences is helpful in semantic analysis and human-computer interaction. People sometimes express their emotions directly and sometimes describe experiences that produce various emotions. Emotion estimation requires both verbal expressions. We believe Japanese onomatopoeias could serve as a landmark of emotions. In this study, multiple raters judged emotions found in 324 onomatopoeias...
Qualitative representation and reasoning on Complex Systems (CS) is important for a number of human activities on CS, mainly for the understanding of both, our perception about their structure as well as their dynamics. Formal Concept Analysis can help understanding the conceptual structure behind these qualitative representations by means of the called concept lattices (CL). In this paper the scale...
With the popularity of Internet of Things, the next logical step will focus on the application layer on top of network connectivity, especially Web of Things. While most of the existing efforts on Web of Things are focused on device mash up and data collection, in this paper a semantic web of things framework is proposed to leverage Semantic Web as the unified mechanism for monitoring, tasking, presentation,...
This paper presents a content-based image retrieval (CBIR) system using multiple Hierarchical Temporal Memory classifiers. in order to improve the efficiency of image management and retrieval, the CBIR system proposed in this paper take advantage of Hierarchical Temporal Memory Algorithm which replicates the structure and function of the human neocortex. in this study, multiple Hierarchical Temporal...
This paper describes a framework for perception creation from sensor data. We propose using data abstraction techniques, in particular Symbolic Aggregate Approximation (SAX), to analyse and create patterns from sensor data. The created patterns are then linked to semantic descriptions that define thematic, spatial and temporal features, providing highly granular abstract representation of the raw...
Service robots that work together with humans in domestic and constantly changing environments should have a general understanding about their human partners and the tasks that are to be performed. This would enable them to verify their beliefs about the common tasks and the goals of their human partners and detect unexpected events and failures. In this paper we present a way of acquiring general,...
Tacit knowledge, specificity and complexity play adjustment role in the influence of knowledge transfer, the user can make human-machine interaction through the machine language, making deep mining and analysis to the data, so as to help the enterprise management personnel have an experiential learning from the elderly technological talents. Thus they can explore Application of Machine language during...
Our premise is that an intelligent system should be able to structure all the information that can be obtained from natural language text, and it should do it in such a manner that the structured information be useful for further processing. This paper presents an experiment in structuring information from the natural language incomplete descriptions of 101 animals collected from a children's dictionary...
This paper revises the classic Ontological Semantics theory with regard to the output of the analyzer. We argue that it is not enough to produce semantic interpretation of text, and syntactic trees should serve not only as clues for semantic processing but also as an output in its own right. We show that it is useful to combine both results of syntactic and semantic processing in a single output while...
In this paper we propose a way of using the Audio-Visual Description Profile (AVDP) of the MPEG-7 standard for stereo video content description. Our aim is to provide means of using AVDP in such a way that 3D video content can be correctly and consistently described. Since, AVDP semantics do not include ways for dealing with 3D video content, a new semantic framework within AVDP is proposed. Finally,...
Research in Information Retrieval (IR) experienced a paradigm shift from first having too few documents to search from to now having way too many of them. When users have trouble finding relevant documents, they tend to become frustrated and give up searching. Scholars have attempted to reduce instances of search frustration via query expansion, information filtering, and incorporating user feedback...
Natural language understanding systems are increasingly needed for intuitive, efficient interaction with large information stores. The object-centered nature of these stores - that they encode states, attributes, and relationships of objects - may not be best served by the current verb-driven syntactic paradigm. We develop a highly-parallelizable noun-driven syntax in response, and evaluate its performance...
By guaranteeing the requested Quality of Service (QoS), service providers can enhance consumer satisfaction and improve the service reputation as a result. However, non-functional QoS attributes such as consumer satisfaction and service reputation are not easily measured due to their complexity and the vagueness and imprecision inherent in the human decision-making process. Accordingly, the present...
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