HYPERTEXT-BASED RELATIONSHIP MANAGEMENT FOR DSS

There is a need for integrated access to a wide range of information related to the development and use of DSS in organizations. This information comes in many forms, both formal and informal, and is highly interrelated. To handle this complex information base, we argue that a separate relationship management component should be added to the three traditional components of a DSS (namely, the database, user interface and model management systems). The role of the relationship management component is to relieve DSS application programs of the need to maintain and provide access to the complex set of relationships that can exist between elements in the application domain. We discuss the kinds of information and relationships that arise during the development and use of a DSS, outline the requirements for an independent subsystem to manage this information base, and propose the use of an extended hypertext software system, H+, to simultaneously handle relationship management and provide an interesting and useful interface to users.Information Systems Working Papers Serie

HYPERTEXT-BASED RELATIONSHIP MANAGEMENT FOR DSS

There is a need for integrated access to a wide range of information related to the development and use of DSS in organizations. This information comes in many forms, both formal and informal, and is highly interrelated. To handle this complex information base, we argue that a separate relationship management component should be added to the three traditional components of a DSS (namely, the database, user interface and model management systems). The role of the relationship management component is to relieve DSS application programs of the need to maintain and provide access to the complex set of relationships that can exist between elements in the application domain. We discuss the kinds of information and relationships that arise during the development and use of a DSS, outline the requirements for an independent subsystem to manage this information base, and propose the use of an extended hypertext software system, H+, to simultaneously handle relationship management and provide an interesting and useful interface to users.Information Systems Working Papers Serie

Tag-Aware Recommender Systems: A State-of-the-art Survey

In the past decade, Social Tagging Systems have attracted increasing attention from both physical and computer science communities. Besides the underlying structure and dynamics of tagging systems, many efforts have been addressed to unify tagging information to reveal user behaviors and preferences, extract the latent semantic relations among items, make recommendations, and so on. Specifically, this article summarizes recent progress about tag-aware recommender systems, emphasizing on the contributions from three mainstream perspectives and approaches: network-based methods, tensor-based methods, and the topic-based methods. Finally, we outline some other tag-related works and future challenges of tag-aware recommendation algorithms.Comment: 19 pages, 3 figure

NETSPEAK: NEKA LEKSIČKA RAZLIKOVNA OBILJEŽJA

The present paper examines and portrays some of the major distinctive features of Netspeak in the context of English as a global language, with particular focus on the language of chatgroups (synchronous and asynchronous). Netspeak is a brand new electronic medium of communication, global and interactive in character, evidently related to English as a global language, with its own distinctive features in all of its varieties. The data used in the paper were obtained from several Internet sites, and then further analysed, bearing mind at all times the model used by David Crystal (2001), and starting with most of his suppositions and claims. The analysis of the data has proven that Netspeak displays a number of highly distinct features undoubtedly classifying it as a brand new (electronic) medium of communication.U ovom se radu ispituju i prikazuju neka od temeljnih razlikovnih obilježja netspeaka u kontekstu engleskog kao globalnog jezika, s posebnim osvrtom na jezik tzv. chat grupa (sinkronih i asinkronih). Netspeak je potpuno novi elektronski medij komunikacije, globalnog i interaktivnog karaktera, koji je očigledno povezan s engleskim kao globalnim jezikom, i koji ima vlastita razlikovna obilježja u svim svojim pojavnostima. Podaci korišteni u radu pribavljeni su s nekoliko internetskih stranica te analizirani imajući u vidu model kojim se koristi David Crystal (2001), polazeći od većine njegovih pretpostavki i tvrdnji. Analiza podataka je pokazala da netspeak karakterizira velik broj izrazito razlikovnih obilježja što ga nesumnjivo svrstava u potpuno novi (elektronički) medij komunikacije

Artificial intelligence as writing: knowledge-based hypertext systems as a medium for communication

This thesis is an exploration of a new metaphor for artificial intelligence (AI). Traditionally, the computer within AI has been viewed as an agent, one with which the user engages in a conversation. More recently certain researchers have proposed the notion that artificial intelligence (and indeed computing in general) can be more appropriately seen as a form of writing. Initially this thesis reviews the literature in this area, and aspects of AI which support the approach. Features of writing are then described which show parallels with AI. This then allows us to take lessons from the history and development of both traditional writing and the new computer-based writing systems to inform the design of a new type of artificial intelligence system. A design based on these features, called Running Texts is presented through a number of small examples. Issues that arise from these and possible future developments, based on the implementation are then discussed. A rationale for users choosing to learn a system such as Running Texts is proposed, as benefits from the psychological and social implications of writing can be applied to AI systems, when they are seen as writing. The same parallels point out potential problems, and suggest new ways to see the relation between AI and thought

A Novel Machine Learning Classifier Based on a Qualia Modeling Agent (QMA)

This dissertation addresses a problem found in supervised machine learning (ML) classification, that the target variable, i.e., the variable a classifier predicts, has to be identified before training begins and cannot change during training and testing. This research develops a computational agent, which overcomes this problem. The Qualia Modeling Agent (QMA) is modeled after two cognitive theories: Stanovich\u27s tripartite framework, which proposes learning results from interactions between conscious and unconscious processes; and, the Integrated Information Theory (IIT) of Consciousness, which proposes that the fundamental structural elements of consciousness are qualia. By modeling the informational relationships of qualia, the QMA allows for retaining and reasoning-over data sets in a non-ontological, non-hierarchical qualia space (QS). This novel computational approach supports concept drift, by allowing the target variable to change ad infinitum without re-training while achieving classification accuracy comparable to or greater than benchmark classifiers. Additionally, the research produced a functioning model of Stanovich\u27s framework, and a computationally tractable working solution for a representation of qualia, which when exposed to new examples, is able to match the causal structure and generate new inferences

A cognitive model of fiction writing.

Models of the writing process are used to design software tools for writers who work with computers. This thesis is concerned with the construction of a model of fiction writing. The first stage in this construction is to review existing models of writing. Models of writing used in software design and writing research include behavioural, cognitive and linguistic varieties. The arguments of this thesis are, firstly, that current models do not provide an adequate basis for designing software tools for fiction writers. Secondly, research into writing is often based on questionable assumptions concerning language and linguistics, the interpretation of empirical research, and the development of cognitive models. It is argued that Saussure's linguistics provides an alternative basis for developing a model of fiction writing, and that Barthes' method of textual analysis provides insight into the ways in which readers and writers create meanings. The result of reviewing current models of writing is a basic model of writing, consisting of a cycle of three activities - thinking, writing, and reading. The next stage is to develop this basic model into a model of fiction writing by using narratology, textual analysis, and cognitive psychology to identify the kinds of thinking processes that create fictional texts. Remembering and imagining events and scenes are identified as basic processes in fiction writing; in cognitive terms, events are verbal representations, while scenes are visual representations. Syntax is identified as another distinct object of thought, to which the processes of remembering and imagining also apply. Genette's notion of focus in his analysis of text types is used to describe the role of characters in the writer's imagination: focusing the imagination is a process in which a writer imagines she is someone else, and it is shown how this process applies to events, scenes, and syntax. It is argued that a writer's story memory, influences his remembering and imagining; Todorov's work on symbolism is used to argue that interpretation plays the role in fiction writing of binding together these two processes. The role of naming in reading and its relation to problem solving is compared with its role in writing, and names or signifiers are added to the objects of thought in fiction writing. It is argued that problem solving in fiction writing is sometimes concerned with creating problems or mysteries for the reader, and it is shown how this process applies to events, scenes, signifiers and syntax. All these findings are presented in the form of a cognitive model of fiction writing. The question of testing is discussed, and the use of the model in designing software tools is illustrated by the description of a hypertextual aid for fiction writers

IoT-Based Vision Techniques in Autonomous Driving

As more people drive vehicles, there is a corresponding increase in the number of deaths and injuries that happen due to road traffic accidents. Thus, various solutions have been proposed to reduce the impact of accidents. One of the most popular solutions is autonomous driving, which involves a series of embedded systems. These embedded systems assist drivers by providing crucial information on the traffic environment or by acting to protect the vehicle occupants in particular situations or to aid driving. Autonomous driving has the capacity to improve transportation services dramatically. Given the successful use of visual technologies and the implementation of driver assistance systems in recent decades, vehicles are prepared to eliminate accidents, congestion, collisions, and pollution. In addition, the IoT is a state-of-the-art invention that will usher in the new age of the Internet by allowing different physical objects to connect without the need for human interaction. The accuracy with which the vehicle's environment is detected from static images or videos, as well as the IoT connections and data management, is critical to the success of autonomous driving. The main aim of this review article is to encapsulate the latest advances in vision strategies and IoT technologies for autonomous driving by analysing numerous publications from well-known databases