Joseph Davis - Profile on Academia.edu (original) (raw)

Papers by Joseph Davis

With the growing emphasis on metrics such as citation count and h-index for research assessment, ... more With the growing emphasis on metrics such as citation count and h-index for research assessment, several reports of gaming and cartel-like formations for boosting citation statistics have emerged. However, such cartels are extremely difficult to detect. This paper presents a systematic approach to visualizing and computing clique and other anomalous patterns through ego-centric citation network analysis by drilling down into the details of individual researcher's citations. After grouping the citations into three categories, namely, self- citations, co-author citations, and distant citations, we focus our analysis on the outliers with relatively very high proportion of self- and co-author citations. By analyzing the complete co-authorship citation networks of these researchers one at a time along with all the co-authors and by merging these networks, we were able to isolate and visualize cliques and anomalous citation patterns that suggest plausible collusion. Our exploratory an...

Social Computing and Social Media: Experience Design and Social Network Analysis, 2021

Digital Twin is an emerging technology at the forefront of Industry 4.0, with the ultimate goal o... more Digital Twin is an emerging technology at the forefront of Industry 4.0, with the ultimate goal of combining the physical space and the virtual space. To date, the Digital Twin concept has been applied in many engineering fields, providing useful insights in the areas of engineering design, manufacturing, automation, and construction industry. While the nexus of various technologies opens up new opportunities with Digital Twin, the technology requires a framework to integrate the different technologies, such as the Building Information Model used in the Building and Construction industry. In this work, an Information Fusion framework is proposed to seamlessly fuse heterogeneous components in a Digital Twin framework from the variety of technologies involved. This study aims to augment Digital Twin in buildings with the use of AI and 3D reconstruction empowered by unmanned aviation vehicles. We proposed a drone-based Digital Twin augmentation framework with reusable and customisable components. A proof of concept is also developed, and extensive evaluation is conducted for 3D reconstruction and applications of AI for defect detection.

ArXiv, 2018

The open source development model has become a paradigm shift from traditional in-house/closed-so... more The open source development model has become a paradigm shift from traditional in-house/closed-source software development model, with many successes. Traditionally, open source projects were characterized essentially by their individual volunteer developers. Such tradition has changed significantly with the participation of many organizations in particular. However, there exists a knowledge gap concerning how open source developer communities evolve. In this paper, we present some observations on open source developer communities. In particular, we analyze git repositories of 20 well-known open source projects, with over 3 million commit activities in total. The analysis has been carried out in three respects, productivity, diversity and growth using the Spearman's rank correlation coefficient, diversity index and the Gompertz/logistic curves, respectively. We find out that (a) the Spearman's rank correlation coefficient between active contributors and commit activities rev...

French Journal of Management Information Systems, 2003

Open Source Software (OSS) development model has attracted considerable attention in recent years... more Open Source Software (OSS) development model has attracted considerable attention in recent years, primarily because it offers a non-proprietary and socially beneficial model of software development backed by a dedicated community of developers and users who share and expand their knowledge and expertise. This research investigates the evolution of open source software using a case study of the Samba project. Through the application of both qualitative and quantitative techniques, Samba's software development and evolution over a seven-year period are tracked and assessed. This assessment and the findings of similar, previously reported studies lead us to propose a general framework for the evolvabiltity and the key drivers of open source software evolution. open-source communities for socially coordinated software development.

Harnessing human computation through crowdsourcing offers a new approach to solving complex probl... more Harnessing human computation through crowdsourcing offers a new approach to solving complex problems, especially those that are relatively easy for humans but difficult for computers. Micro-tasking platforms such as Amazon Mechanical Turk have attracted large, on-demand workforces of millions of workers as well as hundreds of thousands of job requesters. Achieving high quality results and minimizing the total task execution times are the two of the main goals of these crowdsourcing systems. Drawing on cognitive load theory and usability design principles, we study the effects of different user interface designs on performance and the latency of crowdsourcing systems. Our results indicate that complex and poorly designed user interfaces contributed to lower worker performance and increased task latency.

Proceedings. IEEE International Conference on Web Services, 2004., 2004

European Journal of Operational Research, 1995

The concept of decision support systems has been proposed as an approach to providing flexible, c... more The concept of decision support systems has been proposed as an approach to providing flexible, computer-based support for relatively complex decision problems. In this paper, we report on the design and development of a prototype decision support system-Promotion Evaluation, Tracking and Planning System-built for a large, multinational consumer goods manufacturing and marketing company operating in Australia and New Zealand. We provide an analysis of the marketing environment and the role of promotions which leads to the identification of the critical decisions that needed to be supported. The diverse data needs, the suitable models to analyse the data, and the appropriate software tools to prototype the system are outlined. The components and the implementation of the prototype are described. The limitations of the prototype and suggestions for further refinement are dealt with in conclusion.

Many of the features of Web 2.0 encourage users to actively interact with each other. Social tagg... more Many of the features of Web 2.0 encourage users to actively interact with each other. Social tagging systems represent one of the good examples that reflect this trend on the Web. The primary purpose of social tagging systems is to facilitate shared access to resources. Our focus in this paper is on the attempts to overcome some of the limitations in social tagging systems such as the flat structure of folksonomies and the absence of semantics in terms of information retrieval. We propose and develop an integrated approach, social tagging systems with directory facility, which can overcome the limitations of both traditional taxonomies and folksonomies. Our preliminary experiments indicate that this approach is promising and that the context provided by the directory facility improves the precision of information retrieval. As well, our synonym detection algorithm is capable of finding synonyms in social tagging systems without any external inputs.

Knowledge sharing and management in large, multi-national corporations

Knowledge sharing and management (KSM) has emerged as an important issue for international manage... more Knowledge sharing and management (KSM) has emerged as an important issue for international management. However, there is considerable confusion as to what constitutes organizational knowledge, whether and how it can be systematically managed, and what are some of the effective organizational and technological mechanisms for facilitating knowledge management. This study seeks to unravel the complexities associated with it, initially by developing a typology of such mechanisms. This will provide a starting point for a detailed field study carried out in a large, multinational company (Du Pont) focusing on the critical issues, concrete practices, bottlenecks, and constraints in knowledge sharing and management in two functional areas, two business units, and four countries. Using the field data, we also elucidate a dynamic model of knowledge with emphasis on ongoing interpretation and contextualization of previously generated knowledge. Design guidelines for implementing computer-based systems to support KSM are also presented.

The project aims to design and build a digital portal which will document, organise, and preserve... more The project aims to design and build a digital portal which will document, organise, and preserve aspects of Balinese cultural heritage and related knowledge for the benefit of the wider community and the younger generations in particular. We present the details of our research dealing with one aspect of Balinese culture, the Balinese traditional communication system (kulkul), undertaken in the Indonesian island of Bali. This knowledge is held largely in tacit form in the Balinese community and tends to be poorly documented and fragmented. A basic ontology of key kulkul-related concepts and terms and their interrelationships was developed to support the semantic searching and browsing of the online portal and related resources. Much of the content for the portal was acquired through community-based crowdsourcing. We also discuss the procedures employed evaluate the digital portal prototype.

of universities represents a complex endeavor which involves gathering, weighting, and analyzing ... more of universities represents a complex endeavor which involves gathering, weighting, and analyzing diverse data. Emerging semantic technologies enable the Web of Data, a giant graph of interconnected information resources, also known as Linked Data. A recent community effort, Linking Open Data project, offers the possibility of accessing a large number of semantically described and linked concepts in various domains. In this paper, we propose a novel approach to take advantage of this structured data in the domain of universities to develop proxy measures of their relative standing for ranking purposes. Derived from information theory, our approach of computing the Information Content for universities and ranking them based on these scores achieved results comparable to the international ranking systems such as Shanghai Jiao Tong University, Times Higher Education, and QS. The metric we developed can also be used for innovative semantic applications in a range of domains for entity ra...

Implementing Decision Support Systems: Methods, Techniques, and Tools

Linked Data allows structured data to be published in a standard manner so that datasets from div... more Linked Data allows structured data to be published in a standard manner so that datasets from diverse domains can be interlinked. By leveraging Semantic Web standards and technologies, a growing amount of semantic content has been published on the Web as Linked Open Data (LOD). The LOD cloud has made available a large volume of structured data in a range of domains via liberal licenses. The semantic content of LOD in conjunction with the advanced searching and querying mechanisms provided by SPARQL has opened up unprecedented opportunities not only for enhancing existing applications, but also for developing new and innovative semantic applications. However, SPARQL is inadequate to deal with functionalities such as comparing, prioritizing, and ranking search results which are fundamental to applications such as recommendation provision, matchmaking, social network analysis, visualization, and data clustering. This paper addresses this problem by developing a systematic measurement model of semantic similarity between resources in Linked Data. By drawing extensively on a feature-based definition of Linked Data, it proposes a generalized information content-based approach that improves on previous methods which are typically restricted to specific knowledge representation models and less relevant in the context of Linked Data. It is validated and evaluated for measuring item similarity in recommender systems. The experimental evaluation of the proposed measure shows that our approach can outperform comparable recommender systems that use conventional similarity measures.

Providing Computerised Support For The Ad Hoc Use Of External Statistical Data By Casual And Novice Users

ABSTRACT

The current state of application development on the WWW is characterised by anarchy and ad hoc me... more The current state of application development on the WWW is characterised by anarchy and ad hoc methodologies. In recent years, various hypermedia methodologies have been proposed to facilitate the deployment of Web applications. However, no standard methodology has emerged to cater the needs for a systematic and methodological approach to complex and dynamic Web application development. This paper presents the design and specification of a multi-paradigm model suited for representing the interaction in a client-server environment of procedural, declarative, object-based, event-oriented and OO components, suited especially for page-based Web applications.

The negative consequences of information overload are well understood across a range of disciplin... more The negative consequences of information overload are well understood across a range of disciplines even though the causative factors that contribute to it have not been coherently researched. We apply the concept of 'aversion to loss' from prospect theory and explore its effects in the context of information processing for decision making. A controlled laboratory experiment was performed to test the hypothesis that humans acquire and process relatively more information under the threat of information unavailability. Our results indicate strong support for the hypothesis. Further, we show that despite processing more information, people are less satisfied with their decisions than those who have free and continuous access to information. Implications and extensions of the study are presented.

Convergence or coalescence?Information technology and the reshaping of industry boundaries

SCC 2011 Program Committee

computer.org

Sheikh Iqbal Ahamed, Marquette University, USA Muhammad Masoon Alam, IMSciences, Pakistan Antonia... more Sheikh Iqbal Ahamed, Marquette University, USA Muhammad Masoon Alam, IMSciences, Pakistan Antonia Albani, University of St. Gallen Müller-Friedberg, Switzerland Uwe Assmann, TU Dresden Bai Xiaoyin, Tsinghua University, China Akhilesh Bajaj, The University of Tulsa, USA Janaka L. Balasooriya, Arizona State University, USA Sujoy Basu, HP Labs Palo Alto, USA Paul Buhler, College of Charleston, USA Jiannong Cao, Hong Kong Polytechnic University, Hong Kong Rong N. Chang, IBM TJ Watson Research Center, USA Sanjay Chaudhary, ...

Ontologies have been created for many different subjects and by independent groups around the wor... more Ontologies have been created for many different subjects and by independent groups around the world. The nonexistence of a commonly accepted and used general purpose upper-ontology makes it difficult to integrate these ontologies through merge and alignment operations. The majority of the algorithms proposed so far rely on syntactic analysis, disregarding the structural properties of the source ontologies. In our previous work, we proposed an alignment method that considers the structural properties of an upper-ontology constructed using a thesaurus and Formal Concept Analysis technique (FCA). We also analyzed the FCA's lattice structure and proposed a measure of similarity based on Tversky's model, which allowed us to identify closely related concepts in different source ontologies. In this paper, we apply the alignment method to ontologies developed for a completely different domain, and enhance the solution by providing a navigational aid for the lattice. It is well known that one of the main drawbacks of the application of FCA is that the resulting lattice soon becomes cluttered when the number of objects and attributes increases. The proposed solution is based on hyperbolic visualization and on structural elements of the lattice.

We propose a novel market-based approach for dynamic composite service selection based on combina... more We propose a novel market-based approach for dynamic composite service selection based on combinatorial auctions. The combinatorial auction model that we developed allows us to incorporate service providers' and requesters' preferences in the service selection process. From the providers' perspective, the combinatorial formulation allows them to express their preferences for offering combinations of services, or bundles. Moreover, the combinatorial model has the potential to lower the overall cost to the service requester as a result of providers offering discounts for service bundles. The proposed model also enables the service requester to express their preferences for the types of bundles by defining constraints over the configuration of the composite service provisioning, and data-cohesion of the bundles. We have mapped the problem to an Integer Linear Programming formulation and performed a number of experiments to evaluate the proposed model. In addition to demonstrating the relevance and applicability of combinatorial auction models for service selection, our experiments show that the cost of the composite service provisioning decreases with having more bidders in the auction; offering more crowded bundles is more profitable for service providers; and achieving high cohesion is more expensive than low cohesion for service requesters.