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It is truly said by Michelangelo Antonisoni that “We live in a society that compels us to go on using the concepts, and we no longer know what they mean”. A central challenge in understanding the vital concepts of a thesis lies in the complexity of jargons. Our goal is to build an interactive Web application coupled with a chat interface to make learning or knowledge gaining easier. Thus our Web application...
Nowadays, most of the data on the Web is still in the form of unstructured text. Knowledge extraction from unstructured text is highly desirable but extremely challenging due to the inherent ambiguity of natural language. In this article, we present an architecture of an information extraction system based on the concept of Embedded Controlled Language that allows for extracting formal semantic knowledge...
Multiple data sources are used in a museum information system to store the specifications of heritage entities (e.g. collections, archive, literature, knowledge and presentation materials and maintenance data sources). The access and retrieval of cultural heritage information from these data sources often fails because of the heterogeneity nature of museum data. Semantic heterogeneity, which refers...
Semantic textual similarity measures the semantic equivalence between a pair of sentences. Lexical overlapping approach evaluates similarity among a sentence pair depending on the number of terms the sentence pair shares. The similarity can be measured at same level of abstraction or at multi levels. This paper presents the influence of token similarity measures using lexical overlap semantic similarity...
This paper explores the notion of self-agency in developing agent-based systems that support human-to-human communication. We first point out that a challenge in developing such agent-based systems is to successfully transfer conversational experiences that agents gain to their users. We then propose that the sense of self-agency is a key to address this challenge. We also show an experimental system...
Workflow engines typically plan an entire workflow and then submit it for execution, and have limited replanning capabilities when the workflow execution fails. This paper presents an approach for interleaving planning and execution. The approach supports the incremental submission of partial workflows for execution until completion. As new metadata is generated dynamically during execution for all...
Integration of products in enterprises comes with hard challenges due to several factors such as products developed in house, off the shelf, developed over different time lines, available as services over internet, ever changing product APIs, disconnected data models among the products, extensions developed by partners and customers and many more. We propose Semantic Data Platform (SDP), built around...
Scientific data often come from networks with complex relationships between their entities and can be properly modeled as semantic graphs. However, once designed, there is no simple way to cross through different designs in graph databases. The goal of this research is to specify and implement a framework to overcome these limitations, allowing users to build and explore arbitrary perspectives in...
High performance computations are widely used in scientific research and industries. As supercomputers are expensive, how to use cheap computers such as clusters and personal computers is important issue. In this paper we describe a novel distributed computation based on semantic P2P network, in which the peers can be grouped virtually into hierarchical classified domains and the problems are partitioned...
The dynamic and regular growth in multimedia domain has prompted researchers to go on studies, that how to manage and classify images properly. Numerous techniques in that direction have been proposed. Some of them classify images based on their low-level feature or Meta data. However, these techniques are short of classifying objects into main-class and sub-class of the images. Usually, the image...
Mining the large volume textual data produced by microblogging services has attracted much attention in recent years. An important preprocessing step of microblog text mining is to convert natural language texts into proper numerical representations. Due to the short-length characteristic, finding proper representations of microblog texts is nontrivial. In this paper, we propose to build deep network-based...
A growing number of agent technologies are receiving significant attention from both researchers and practitioners. Jason, Moise, and CArtAgO are examples of technologies that support the development of multi-agent systems. On the other hand, semantic technologies, such as ontologies, are becoming established as knowledge representation techniques for large web-based applications. Their development...
Distributed computations on graphs gained importance with the emergence of large graphs, e.g., in the web or social networks. Frameworks like Hadoop, Giraph and Spark are used for their processing. Yet, they require advanced programming techniques to minimize skew and data shuffling. Declarative, query-like, but at the same time efficient solutions like Pig for general purpose analytics are lacking...
Assessment is an essential activity to achieve the objective of the course being taught and to improve the teaching and learning process. There are several educational taxonomies that can be used to assess the efficacy of assessment in engineering learning by aligning the assessment tasks in line with the intended learning outcomes and teaching and learning activities. This research is focused on...
Cognitive map is a qualitative decision model which is frequently used in social science and decision making applications. This model allows to easily organize individuals' judgments, thinking or beliefs about a given problem in a graphical representation containing different concepts and influences between them. However, reasoning on this model presents some limits and remains a difficult task. For...
Preferences can be expressed as wishes, constraints or both. Generally, wishes and constraints do not complement each other. A different reasoning principle is applied to rank-order the set of options depending on whether preferences refer to wishes or constraints. Consequently, these two types of preferences have been characterized by two separate sets of postulates offering a normative view of the...
In this paper, we proposed a novel method (CompUXLSA) to predict user experience from reviews sentences using Latent Semantic Analysis (LSA). Human uses words to represent or express thoughts. The “word of mouth” could influence others especially through web and social media, which are the common communication tools today. We believe that reviews can be categorized according to user experiences since...
We propose and empirically evaluate a theoretical framework of how to use coding guides for automatic coding (scoring) and how, in turn, automatic coding can enhance the use of coding guides. We adopted a recently described baseline approach to automatically classify responses. Well-established coding guides from PISA, comprising reference responses, and its German sample from 2012 were used for evaluation...
We consider the problem of learning distributed representations for documents from their content and associated tags, and of distributed representations of users from documents and tags provided by users. The documents, words, and tags are represented as low-dimensional vectors and are jointly learned with a multi-layered neural language model. We propose a two stage method where in the first stage...
Domain dependence is an issue that most researchers in corpus-based computational linguistics have faced at one time or another. With this paper we describe a method to perform sentiment polarity classification across domains that utilises Argumentation. We train standard supervised classifiers on a corpus and then attempt to classify instances from a separate corpus, whose contents are concerned...
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