Search

This paper is about searching literature digital libraries to find "related" publications of a given publication. Existing approaches do not take into account publication topics in the relatedness computation, allowing topic diffusion across query output publications. In this paper, we propose a new way to measure "relatedness" by incorporating "contexts" (representing topics) of publications. We utilize existing ontology terms as contexts for publications, i.e., publications are assigned to their relevant contexts, where a context characterizes one or more publication topics. We define three ways of context-based relatedness, namely, (a) relatedness between two contexts (context-to-context relatedness) by using publications that are assigned to the contexts and the context structures in the context hierarchy, (b) relatedness between a context and a paper (paper-to-context relatedness), which is used to rank the relatedness of contexts with respect to a paper, and (c) relatedness between two papers (paper-to-paper relatedness) by using both paper-to-context and context-to-context relatedness measurements. Using existing biomedical ontology terms as contexts for genomics-oriented publications, our experiments indicate that the context-based approach is accurate, and solves the topic diffusion problem by effectively classifying and ranking related papers of a given paper based on the selected contexts of the paper. [ABSTRACT FROM AUTHOR]

Summary: This open access book constitutes the thoroughly refereed proceedings of the First International ISCIS Security Workshop 2018, Euro-CYBERSEC 2018, held in London, UK, in February 2018. The 12 full papers presented together with an overview paper were carefully reviewed and selected from 31 submissions. Security of distributed interconnected systems, software systems, and the Internet of Things has become a crucial aspect of the performance of computer systems. The papers deal with these issues, with a specific focus on societally critical systems such as health informatics systems, the Internet of Things, energy systems, digital cities, digital economy, mobile networks, and the underlying physical and network infrastructures.

This paper presents paper retrieval using the specific paper features chain and laid lines. Paper features are detected in digitized paper images and they are represented such that they could be used for retrieval. Optimal retrieval performance is achieved by means of a trainable similarity measure for a given set of paper features. By means of these methods a retrieval system is developed that art experts could use real-time in order to speed up their paper research. [ABSTRACT FROM AUTHOR]

The work presented in this paper shows the way to generate colored paper mosaics using computer graphics techniques. Following two tasks need to be done to generate colored paper mosaic. The first one is to generate colored paper tile and the other one is to arrange the tile. Voronoi Diagram and Random Point Displacement have been used in this paper to come up with the shape of the tile. And, energy value that the tile has depending on its location is the factor to determine the best positioning of the tile. This paper focuses on representing the overlap among tiles, maintenance of the edge of input image, and various shapes of tiles in the final output image by solving two tasks mentioned above. [ABSTRACT FROM AUTHOR]

In this paper we propose a novel personalized paper search system using the relevance among user's queried keywords and user's behaviors on a searched paper list. The proposed system builds user's individual relevance network from analyzing the appearance frequencies of keywords in the searched papers. The relevance network is personalized by providing weights to the appearance frequencies of keywords according to users' behaviors on the searched list, such as "downloading," "opening," and "no-action." In the experimental section, we demonstrate our method using 100 faculties' search information in the University of Suwon. [ABSTRACT FROM AUTHOR]

In this paper we present a method for optical paper surface roughness measurement, which overcomes the disadvantages of the traditional methods. Airflow-based roughness measurement methods and profilometer require expensive special equipment, essential laboratory conditions, are contact-based and slow and unsuitable for on-line control purposes methods. We employed an optical microscope with a built-in CCD-camera to take images of paper surface. The obtained image is considered as a texture. We applied statistical brightness measures and fractal dimension analysis for texture analysis. We have found a strong correlation between the roughness and a fractal dimension. Our method is non-contact-based, fast and is suitable for on-line control measurements in the paper industry. [ABSTRACT FROM AUTHOR]

Document triage is the critical point in the information seeking process when the user first decides the relevance of a document to their information need. This complex process is not yet well understood, and subsequently we have undertaken a comparison of this task in both electronic and paper media. The results reveal that in each medium human judgement is influenced by different factors, and confirm some unproven hypotheses. How users claim they perform triage, and what they actually do, are often not the same. [ABSTRACT FROM AUTHOR]

This is a summary of the papers presented at the Active Conceptual Modeling of Learning (ACM-L) Workshop, November 8, 2006, Tucson, Arizona, USA, and several invited papers. [ABSTRACT FROM AUTHOR]

This paper addresses a Korean-English machine translation system for scientific papers. The MT system is supported by CL (Controlled Language)-guided source language rewriting. After analyzing the translation errors of the system, we defined Korean rewriting rules to avoid the linguistic obstacles that may affect the translation accuracy. To support this, a Korean CL-checker was implemented. We showed that this CL-guided MT system can improve the translation accuracy by about 13% by adopting CL rewriting rules. However, this improvement is still not enough for various purposes, because most of the users of the MT system may want to submit the translated texts to a conference or an academic journal. As the MT output contains erroneous expressions, a language model module was added to the pattern-based MT engine. The system automatically detects expressions with low frequency and asks the authors to examine the translation. By adopting CL rewriting rules and language model module to the existing MT engine, almost "professional" translations can be obtained. [ABSTRACT FROM AUTHOR]

This paper presents a novel application of a semantic annotation system, named Cerno, to analyze research publications in electronic format. Specifically, we address the problem of providing automatic support for authors who need to deal with large volumes of research documents. To this end, we have developed Biblio, a user-friendly tool based on Cerno. The tool directs the user's attention to the most important elements of the papers and provides assistance by generating automatically a list of references and an annotated bibliography given a collection of published research articles. The tool performance has been evaluated on a set of papers and preliminary evaluation results are promising. The backend of Biblio uses a standard relational database to store the results. [ABSTRACT FROM AUTHOR]

Some of the most interesting developments within computer system design in recent years have emerged from an exploration of the ways everyday objects and artefacts can be augmented with computational resources. Often under the rubric of "ubiquitous computing", research programmes in Europe, North America and Japan have directed substantial funding towards these initiatives, and leading industrial and academic research laboratories have developed a diverse range of ubiquitous computing "solutions". These developments mark an important shift in system design, a shift that is having a corresponding impact on social science research. Surprisingly though, given the growing commitment to the ubiquitous and the tangible, there is a mundane, even humble artefact that pervades our ordinary lives that has received less attention than one might imagine. This artefact is paper. [ABSTRACT FROM AUTHOR]

The aim of this paper is to explore new metaphors for interaction design on tabletop system. Tabletop systems are shared horizontal surface for co-located collaboration, which leads to original problems when designing interactions. We propose two metaphors based on the paper: the peeling metaphor, and the slot metaphor, and then suggest a way of using them to design new interactions for solving some of the problems of tabletop systems: documents organization, documents transmission and documents duplication. [ABSTRACT FROM AUTHOR]

This paper is concerned with a multi-resolution tool for screening paper formation variations in various frequency regions on production line. A paper web is illuminated by two red diode lasers and the reflected light recorded as two time series of high resolution measurements constitute the input signal to the papermaking process monitoring system. The time series are divided into blocks and each block is analyzed separately. The task is treated as kernel based novelty detection applied to a multi-resolution time series representation obtained from the band-pass filtering of the Fourier power spectrum of the series. The frequency content of each frequency region is characterized by a feature vector, which is transformed using the canonical correlation analysis and then categorized into the inlier or outlier class by the novelty detector. The ratio of outlying data points, significantly exceeding the predetermined value, indicates abnormalities in the paper formation. The tools developed are used for online paper formation monitoring in a paper mill. [ABSTRACT FROM AUTHOR]

Dirty paper coding are relevant for wireless networks, multiuser channels, and digital watermarking. We show that the problem of dirty paper is essentially equivalent to some classes of constrained memories, and we explore the binary so-called nested codes, which are used for efficient coding and error-correction on such channels and memories. Keywords: dirty paper, constrained memory, nested codes, covering codes. [ABSTRACT FROM AUTHOR]

In this tutorial paper we summarise the key features of the multi-threaded Qu-Prolog language for implementing multi-threaded communicating agent applications. Internal threads of an agent communicate using the shared dynamic database used as a generalisation of Linda tuple store. Threads in different agents, perhaps on different hosts, communicate using either a thread-to-thread store and forward communication system, or by a publish and subscribe mechanism in which messages are routed to their destinations based on content test subscriptions. We illustrate the features using an auction house application. This is fully distributed with multiple auctioneers and bidders which participate in simultaneous auctions. The application makes essential use of the three forms of inter-thread communication of Qu-Prolog. The agent bidding behaviour is specified graphically as a finite state automaton and its implementation is essentially the execution of its state transition function. The paper assumes familiarity with Prolog and the basic concepts of multi-agent systems. [ABSTRACT FROM AUTHOR]

This paper is a tutorial describing the main features of the KGP (Knowledge-Goals-Plan) model of agency and giving user guidance on how the model can be used to develop applications. The KGP model is based on computational logic. It consists of an abstract component, a computational component and an implementation. This paper concentrates on the abstract component, which consists of formal specifications of a number of different modules, including the knowledge bases, capabilities, transitions and control. For each of these we summarise what is provided by the model, and through the platform implementing the model, and what is left to the users to specify according to the requirements of the applications for which they wish to use the KGP model to design agents. [ABSTRACT FROM AUTHOR]

Many design activities depend on communicative activities around collaboratively produced prototypes. A common communication practice in producing text documents is to add annotation in the form of comments. Previous research indicates that electronic paper-prototyping can be used to rapidly create simple prototypes of interactive systems, such as websites. Little is known, however, about how to provide and maintain variety of communication channels around such electronic paper-prototypes to enable end-users and other stakeholders to contribute to design dialogues. This paper presents Gabbeh, an electronic paper-prototyping tool, and reports on an evaluation using the tool in a simulated design exercise. [ABSTRACT FROM AUTHOR]

The Lost Cosmonaut is an interactive narrative based on digitally enhanced paper. This technology uses an electronic pen to mediate between paper and computer. Thus any actions of the pen on the paper can be captured and manipulated by a computer as well as we can map digitally controlled events onto paper. The story in this narrative environment reveals itself partially through written text and images on the paper surface just as any other printed story. However, additional information in form of digitally controlled outputs such as sound, light and projections can be accessed through interaction with pen and paper. Furthermore the audience is not only supposed to read and otherwise perceive information, we also want them to actively produce content for this environment by writing onto the paper. By doing so they also add content to the database containing the digital output at the same time. Hence we produce a complex multimedia environment that works on three levels: On paper, in a digitally controlled visual and acoustic environment and in the combination of both worlds. Last but not least this environment is an open system, which grows as a collaborative effort over time as each user adds his own entries to paper and database. We argue that using paper as an integrated part of a digital environment is a best-of-both-world approach that opens up new possibilities for producing and perceiving narrative. [ABSTRACT FROM AUTHOR]

Researchers from the same lab often spend a considerable amount of time searching for published articles relevant to their current project. Despite having similar interests, they conduct independent, time consuming searches. While they may share the results afterwards, they are unable to leverage previous search results during the search process. We propose a research paper recommender system that avoids such time consuming searches by augmenting existing search engines with recommendations based on previous searches performed by others in the lab. Most existing recommender systems were developed for commercial domains with millions of users. The research paper domain has relatively few users compared to the large number of online research papers. The two major challenges with this type of data are the large number of dimensions and the sparseness of the data. The novel contribution of the paper is a scalable subspace clustering algorithm (SCuBASCuBA: Subspace Clustering Based Analysis.) that tackles these problems. Both synthetic and benchmark datasets are used to evaluate the clustering algorithm and to demonstrate that it performs better than the traditional collaborative filtering approaches when recommending research papers. [ABSTRACT FROM AUTHOR]

Wet paper codes were proposed as a tool for constructing steganographic schemes with an arbitrary selection channel that is not shared between the sender and the recipient. In this paper, we describe new approaches to wet paper codes that enjoy low computational complexity and improved embedding efficiency (number of message bits per embedding change). Some applications of wet paper codes to steganography and data embedding in binary images are discussed. [ABSTRACT FROM AUTHOR]

This paper investigates an aggressive back off strategy as part of the congestion management algorithms developed for Direct Broadcast Satellites with Return Channel Systems (DBS-RCS). The satellite architecture considered in this work is based on an asymmetric architecture with the high capacity forward link provided by the DBS and low speed return channel is provided by a constellation of Low Earth Orbiting (LEO) satellites. The network carries both Moving Pictures Expert Group (MPEG) coded video traffic and other data traf-fic having available bit rates (ABR) which is based on Reliable DBS Multicast Protocol (RDMP). Due to overwhelming complexity of real DBS-RCS systems, unless unduly simplifications are made, an exact analysis of this system be-comes impossible. Therefore, we rely on the testbed results for investigation of the proposed aggressive back off strategy. In this paper, we first present a brief background on adaptive resource allocation and management (ARAM) system developed in our earlier work [1]. Then, we provide the proof of concept ex-periments for the newly introduced aggressive back off strategy. We show that the distributed control provided by the watermarks provides performance com-parable to the baseline ARAM model. We also show that an aggressive back off strategy should be used for increased QoS. [ABSTRACT FROM AUTHOR]

Multiple business factors have emerged to accelerate the necessity of event-driven functionality and make it part of the main-stream computing, instead of a niche technology. Consequently, there is now focus on using high-level software constructs to build these applications. This paper presents a vision for such high-level features and architecture. This paper explains why "event-driven applications" becomes an emerging area, explains the basic terminology of EDA, explains the relationship to business rules, and sets some directions for the future of this discipline. [ABSTRACT FROM AUTHOR]

Office workers tend to produce paper piles of documents to read or to process sometime later. The information contained in these piles is often lost if it is not transferred to electronic format and connected to knowledge structures. Information that is not part of the knowledge worker's electronic information space is frequently overlooked because it is not proactively provided during actual processes or tasks he is involved in. This paper presents a novel prototype for an intelligent office appliance, which results from an integration of three state-of-the-art office applications/appliances: a workflow system, a document classification system, and a multi-functional peripheral. The resulting system allows for leveraging an office worker's papers to her personal knowledge space in order to realize a pro-active and context-sensitive information support within knowledge-intensive tasks and processes. [ABSTRACT FROM AUTHOR]

To facilitate the transition from paper-based patient record (PPR) to computer-based patient record (CPR), engineers should try to improve the usability of CPR system. From the point of view of a physician, we reviewed PPRs written by 8 Japanese physicians. We revealed the characteristics of PPR to find out about the barrier to transition from PPR to CPR. Our findings may be helpful to the engineers who are aiming to develop a CPR system. [ABSTRACT FROM AUTHOR]

In this paper we describe the design of a hybrid search that combines simple metadata search with a traditional keyword search over unstructured context data. This paradigm provides the inquirer additional options to narrow the search with some semantic aspects through the XML metadata query. We demonstrate a paper search for a case study of the hybrid search, and describe a data integration hub to integrate those data dispersed on the Net. [ABSTRACT FROM AUTHOR]

We examine the properties and use of paper in everyday settings and discuss the motivation for retaining paper as an information medium. In particular, we consider the use of paper maps and guidebooks by tourists during city visits as an example of a mobile and collaborative environment. We then go on to present recent developments in technologies for digital paper and how they can be used to seamlessly integrate digital and printed information. [ABSTRACT FROM AUTHOR]

Usability maturation manifests in terms of quality in software, in interaction, and in value, constituting the three parts of this volume. In this green paper, the three editors present a range of ideas drawn and synthesized from the fifteen preceding chapters. It is not just a review, but, more importantly, it is an invitation for interested individuals or organizations to contribute more views and information, providing answers to open questions, challenging existing opinions, raising new issues, and bridging the gaps. In the Introduction, a brief overview of the development of the field of HCI is presented. In each of the three following sections, the five chapters comprising the respective part are reviewed and attendant issues are discussed, leading to research agendas that can serve as a roadmap for the future work on usability. [ABSTRACT FROM AUTHOR]

This article proposes a Memetic Differential Evolution (MDE) for designing digital filters which aim at detecting defects of the paper produced during an industrial process. The MDE is an adaptive evolutionary algorithm which combines the powerful explorative features of Differential Evolution (DE) with the exploitative features of two local searchers. The local searchers are adaptively activated by means of a novel control parameter which measures fitness diversity within the population. Numerical results show that the DE framework is efficient for the class of problems under study and employment of exploitative local searchers is helpful in supporting the DE explorative mechanism in avoiding stagnation and thus detecting solutions having a high performance. [ABSTRACT FROM AUTHOR]

U-Healthcare promises increases in efficiency, accuracy and availability of medical treatment; however it also introduces the potential for serious abuses including major privacy violations, staff discrimination and even life-threatening attacks. In this position paper we highlight some potential threats and open the discussion about the security requirements of this new scenario. We take a few initial steps towards a U-Healthcare security policy and propose a system architecture designed to help enforce the policy's goals. [ABSTRACT FROM AUTHOR]

Global paper industry needs systems that can be used in all locations. International user studies can be helpful when integrating systems. Not only due to the lack of common language but also the differences in culture and the usage of systems, information from different countries needs to be collected and analyzed so that the integration development is not be biased and unilateral. During the study some food for thought was gathered on what to consider when planning an international user study. [ABSTRACT FROM AUTHOR]

With the increased use of Internet and information technology all over the world, there is an increased amount of criminal activities that involve computing and digital data. These digital crimes (e-crimes) impose new challenges on prevention, detection, investigation, and prosecution of the corresponding offences. Computer forensics (also known as cyberforensics) is an emerging research area that applies computer investigation and analysis techniques to help detection of these crimes and gathering of digital evidence suitable for presentation in courts. This new area combines the knowledge of information technology, forensics science, and law and gives rise to a number of interesting and challenging problems related to computer security and cryptography that are yet to be solved. In this paper, we present and discuss some of these problems together with two successful cases of computer forensics technology developed in Hong Kong that enable the law enforcement departments to detect and investigate digital crimes more efficiently and effectively. We believe that computer forensics research is an important area in applying security and computer knowledge to build a better society. [ABSTRACT FROM AUTHOR]

This paper is concerned with a multi-resolution tool for analysis of a time series aiming to detect abnormalities in various frequency regions. The task is treated as a kernel based novelty detection applied to a multi-level time series representation obtained from the discrete wavelet transform. Having a priori knowledge that the abnormalities manifest themselves in several frequency regions, a committee of detectors utilizing data dependent aggregation weights is build by combining outputs of detectors operating in those regions. [ABSTRACT FROM AUTHOR]

Amongst several fundamental aspects in multi-agent systems design, the definition of the agent interaction space is of the utmost importance. The specification of the agent interaction has several facets: syntax, semantics, and compliance verification. In an open society, heterogenous agents can participate without showing any credentials. Accessing their internals or their knowledge bases is typically impossible, thus it is impossible to prove a priori that agents will indeed behave according to the society rules. Within the SOCS (Societies Of ComputeeS) project, a language based on abductive semantics has been proposed as a mean to define interactions in open societies. The proposed language allows the designer to define open, extensible and not over-constrained protocols. Beside the definition language, a software tool has been developed with the purpose of verifying at execution time if the agents behave correctly with respect to the defined protocols. This paper provides a tutorial overview of the theory and of the tools the SOCS project provided to design, define and test agent interaction protocols. [ABSTRACT FROM AUTHOR]

This paper is based on the tutorial given as part of the tutorial programme of CLIMA-VI. The tutorial aimed at giving an overview of the various features available in Jason, a multi-agent systems development platform that is based on an interpreter for an extended version of AgentSpeak. The BDI architecture is the best known and most studied architecture for cognitive agents, and AgentSpeak is an elegant, logic-based programming language inspired by the BDI architecture. [ABSTRACT FROM AUTHOR]

One of the simplest protocols for clock synchronization in wireless ad hoc and sensor networks is the converge-to-max protocol, which has the simple logic of adjusting each node's clock to be at least as large as any neighbor's. This paper examines the converge-to-max protocol, showing it to be stabilizing even when node clocks have skew, bounded domains, and dynamic communication links. [ABSTRACT FROM AUTHOR]

Privacy-preserving classification mining is one of the fast-growing sub-areas of data mining. How to perturb original data and then build a decision tree based on perturbed data is the key research challenge. By applying transition probability matrix this paper proposes a novel privacy-preserving classification mining algorithm which suits all data types, arbitrary probability distribution of original data, and perturbing all attributes (including label attribute). Experimental results demonstrate that decision tree built using this algorithm on perturbed data has comparable classifying accuracy to decision tree built using un-privacy-preserving algorithm on original data. [ABSTRACT FROM AUTHOR]

In this paper, an improvement to TCP-Peach+, called TCP-Peach++, is proposed to improve the throughput performance for satellite IP networks with asymmetrical bandwidth and persistent fades. The delayed SACK scheme is adopted to address the problems due to bandwidth asymmetrical satellite links. A new protocol procedure, Hold State, is developed to address the link outages due to persistent fades. The simulation results show that TCP-Peach++ improves the throughput performance during rain fades and addresses the bandwidth asymmetry problems in Satellite IP Networks. [ABSTRACT FROM AUTHOR]

Recently, the request for multimedia broadband services via satellite has been rapidly increasing. We envisage a group of terminals that have to transmit (uplink) to a Network Control Center (NCC) via a geostationary bent-pipe satellite; the NCC is interconnected to the Internet through a router. Terminals employ the DVB-RCS standard to communicate with the NCC. Due to both the intrinsic propagation delay and the presence of a lossy radio channel, the Transport Control Protocol (TCP) is particularly inefficient in the satellite scenario. Therefore, we propose a novel cross-layer mechanism where resources are allocated by the Medium Access Control (MAC) layer at the NCC depending on the TCP behavior at remote terminals. Moreover, the MAC layer can also intervene on the TPC data injection rate to avoid system congestion. Simulation results show that: (i) our scheme prevents the occurrence of TCP timeouts (due to the satellite network congestion), thus improving the utilization of radio resources; (ii) it reduces the mean file transfer time for ftp applications with respect to a classical allocation scheme. This paper has been carried out within A&TCP research group of the "SatNEx" NoE project (URL: www.satnex.org; contract No. 507052) belonging to the 6-th framework of the European Commission. Index Terms:Satellite Networks, DVB-RCS, TCP. [ABSTRACT FROM AUTHOR]

Given the fact that more than half of the world lacks a wired network infrastructure, satellite networks are seen as an important alternative to achieve global coverage. Since most of the world population lives around the equator or in middle-latitude regions, satellite constellations have to deal with different communication requirements from different regions. The traffic requirements become further unbalanced as the population density varies among urban and rural areas. This results in the congestion of some satellites while others remain underused. The issue of traffic engineering over satellite networks can be resolved by distributing the traffic in a balanced way over underutilized links. This paper proposes an Explicit Load Balancing (ELB) routing protocol which is based on information of traffic load at the next hop on the remainder of the path to the destination. A satellite with high traffic load sends signals to its neighboring satellites requesting them to decrease their sending rates before it gets congested and packets are ultimately dropped. Neighboring satellites should accordingly respond and search for other alternate paths that do not include the satellite in question. The performance of the proposed scheme is evaluated through simulations. From the simulation results, the proposed scheme achieves a more balanced distribution of traffic load, and reduces the number of packet drops and queuing delays. The resulting satellite constellation is a better-utilized and traffic-balanced network. [ABSTRACT FROM AUTHOR]

We developed AirTransNote, a computer-mediated classroom collaboration system. The system enables real-time note-sharing. AirTransNote manages notes written by students on paper and enables the teacher to browse through the notes or show them to the students. AirTransNote can analyze students' answers, helping the teacher better understand their problems. The system is not meant to provide an alternative to the conventional way of instruction; rather, it is designed to enhance class interaction. We conducted a preliminary study using questionnaires and found that this system can be feasible to apply for classroom environment. [ABSTRACT FROM AUTHOR]

Many documents exist in both paper and electronic forms. Paper has many well-known advantages, but electronic texts often contain useful information that is not easily accessible from printed paper versions. SGML texts, in particular, are rich sources of additional information. The Active Alice project shows how a reader can use a paper document to access information from its corresponding electronic version without having to manipulate the electronic version via a separate computer interface. The project makes use of a DigitalDesk. This is an ordinary desk augmented with a video camera and computer-driven projector. The camera captures images of the pages on the desk and detects simple user actions such as pointing to specific words on a page. The images are used to associate the pages with their SGML counterparts. Information from the SGML versions can then be conveyed directly to the reader via information projected onto the page or onto other areas of the desk. The project takes its name from the example text used—a version of Alice's Adventures in Wonderland. [ABSTRACT FROM AUTHOR]

We study the problem of predicting the popularity of items in a dynamic environment in which authors post continuously new items and provide feedback on existing items. This problem can be applied to predict popularity of blog posts, rank photographs in a photo-sharing system, or predict the citations of a scientific article using author information and monitoring the items of interest for a short period of time after their creation. As a case study, we show how to estimate the number of citations for an academic paper using information about past articles written by the same author(s) of the paper. If we use only the citation information over a short period of time, we obtain a predicted value that has a correlation of r = 0.57 with the actual value. This is our baseline prediction. Our best-performing system can improve that prediction by adding features extracted from the past publishing history of its authors, increasing the correlation between the actual and the predicted values to r = 0.81. [ABSTRACT FROM AUTHOR]

This paper describes an approach to the use of citation links to improve the scientific paper classification performance. In this approach, we develop two refinement functions, a linear label refinement (LLR) and a probabilistic label refinement (PLR), to model the citation link structures of the scientific papers for refining the class labels of the documents obtained by the content-based Naive Bayes classification method. The approach with the two new refinement models is examined and compared with the content-based Naive Bayes method on a standard paper classification data set with increasing training set sizes. The results suggest that both refinement models can significantly improve the system performance over the content-based method for all the training set sizes and that PLR is better than LLR when the training examples are sufficient. [ABSTRACT FROM AUTHOR]

We present a framework for generating paper-cutting effects on mesh models. Our system involves the construction of model defined paper-cutting patterns, extraction of the medial axis (MA) from the mesh models and position location for patterns on the mesh surface based on MA. Patch sets for placing patterns on the mesh surface are determined by the region growing algorithm. After patch sets parameterization, patterns are drawn on the parameterized domain and mapped onto the mesh surface by inverse sampling. [ABSTRACT FROM AUTHOR]

Contemporary digital libraries and archives of ethnological information focus mainly on document based storage and access methods for their data. However, our archive is designed to manage smallest pieces of information and can enable ethnologists not only to easily store and access their material, but also to derive new knowledge by combining existing data. In this paper, we present the first steps in building a digital archive for paper slips with ethnological contents from the 19th and the beginning of the 20th century. Along with the architectural and accessibility aspects of the WossiDiA system, we describe enhancements for efficient retrieval and for supporting modifications to access structures. [ABSTRACT FROM AUTHOR]

SimStudent is a machine-learning agent that learns cognitive skills by demonstration. It was originally developed as a building block of the Cognitive Tutor Authoring Tools (CTAT), so that the authors do not have to build a cognitive model by hand, but instead simply demonstrate solutions for SimStudent to automatically generate a cognitive model. The SimStudent technology could then be used to model human students' performance as well. To evaluate the applicability of SimStudent as a tool for modeling real students, we applied SimStudent to a genuine learning log gathered from classroom experiments with the Algebra I Cognitive Tutor. Such data can be seen as the human students' "demonstrations" of how to solve problems. The results from an empirical study show that SimStudent can indeed model human students' performance. After training on 20 problems solved by a group of human students, a cognitive model generated by SimStudent explained 82% of the problem-solving steps performed correctly by another group of human students. [ABSTRACT FROM AUTHOR]

Paper keeps as a key information medium and this has motivated the development of new technologies for digitally augmented paper (DAP) that enable printed content to be linked with multimedia information. Among those technologies, one simplest approach is to print some visible patterns on paper (e.g., barcodes in the margin) as cross-media links. Due to the latest progress in printing industry, some more sophisticated methods have been developed, that is, some kinds of patterns printed on the background of a page in a high resolution are almost invisible and then we are affected little when reading. For all these pattern-embedding based approaches to integrate printed and multimedia information, we aim to present a unified publishing framework independent of particular patterns and readers(e.g., cameras to capture patterns) used to realize DAP. The presented framework manages semantic information about printed documents, multimedia resources, and patterns as links between them and users are provided with a platform for publishing DAP documents. [ABSTRACT FROM AUTHOR]

In this article I will present an overview of a selection of tools for execution and proof based on temporal logic, and outline both the general techniques used and problems encountered in implementing them. This selection is quite subjective, mainly concerning work that has involved researchers I have collaborated with at Liverpool (and, previously, Manchester). The tools considered will mainly be theorem-provers and (logic-based) agent programming languages. Specifically: - clausal temporal resolution [21, 28] and several of its implementations, namely , and , together with its application to verification [35]; - executable temporal logics [24, 4] and its implementation as both MetateM [3] and Concurrent MetateM [22, 49], together with its use as a programming language for both individual agents [23, 26, 29] and multi-agent systems [33, 30, 32]. In addition, I will briefly mention work on induction-based temporal proof [5], temporal logic programming [1], and model checking [7]. Rather than providing detailed algorithms, this presentation will concentrate on general principles, outlining current problems and future possibilities. The aim here is to give the reader an overview of the ways we handle temporal logics. In particular how we use such logics as the basis for both programming and verification. [ABSTRACT FROM AUTHOR]

This talk will consider rigorous mathematics and the nature of proof. It begins with an historical perspective and follows the development of formal mathematics. The talk will conclude with examples demonstrating that understanding the relationship between formal mathematics and rigorous proof can assist with both the discovery and the quality of real proofs of real results. Keywords: rigor, formal mathematics, nature of proof. [ABSTRACT FROM AUTHOR]

For AOP (Agent Oriented Programming) to become a mature discipline, lessons must be learned from practical language implementations. We present AF-APL (AgentFactory - Agent Programming Language) as an Agent Oriented Programming Language that has matured with continued revisions and implementations, resulting in a language - which, although based on the more theoretical aspects of AO design - has incorporated many of the practical considerations of programming real world agents. We describe AF-APL informally, focusing on its experience driven features, such as commitment reasoning, a rich plan operator set, and an inherent asynchronous design. We present the default execution cycle for the AF-APL interpreter, looking in detail at the Commitment Management model. This model provides an agent with power to reason about its own actions, while maintaining basic constraints on computational tractability. In our development of the language, we learned many lessons that are not covered in the purer AO language definitions. Before concluding, we discuss a number of these lessons. [ABSTRACT FROM AUTHOR]