Australia

Until recently, structured (e.g., relational) and unstructured (e.g., textual) data were managed very differently: Structured data was queried declaratively using languages such as SQL, while unstructured data was searched using boolean queries over inverted indices. Today, we witness the rapid emergence of Big Data Integration techniques leveraging knowledge graphs to bridge the gap between different types of contents and integrate both unstructured and structured information more effectively. I will start this talk by giving a few examples of Big Data Integration. I will then describe two recent systems built in my lab and leveraging such techniques: ZenCrowd, a socio-technical platform that automatically connects Web documents to semi-structured entities in a knowledge graph, and Guider, a Big Data Integration system for the cloud.

ICSOFT 2021

Big Data Integration

The purpose of the International Conference on Software Technologies, is to bring together researchers, engineers and practitioners interested on software technologies. The conference areas are "Software Engineering and Systems Development", "Software Systems and Applications" and "Foundational and Trigger Technologies". 
CONFERENCE AREAS 
1 . Software Engineering and Systems Development 
2 . Software Systems and Applications 
3 . Foundational and Trigger Technologies

The purpose of the International Conference on Software Technologies, is to bring together researchers, engineers and practitioners interested on software technologies. The conference areas are "Software Engineering and Systems Development", "Software Systems and Applications" and "Foundational and Trigger Technologies".

keynote

Software has become essential to modern life and controls functions as diverse as the capabilities for home appliances, aircraft flight control systems, mobile phones, health care systems, financial transactions, and digital learning. Individuals, organizations, markets, and governments are increasingly dependent on software. Despite advances in computing and software technologies, however, we continue to see headlines about failures related to software. This presentation will cover investments and advances in research needed to address these issues. In particular, I will discuss how the current notion of software development will be replaced by one where the software pipeline consists of AI and humans collaborating at scale on continuously evolving systems. These software-enabled systems will be even more pervasive than today, with levels of trust commensurate with the importance of the decisions they make. I will also discuss how software and humans need to become mutually trustworthy peers comprising socio-technical ecosystems, where human expressions of intent are reliably understood and socio-technical platforms enable collaboration at scale, leading to socially resilient, ethical, and unbiased behavior. Advances in compositional correctness and continuous reflection ar also needed to allow intelligent systems to learn from experience and continuously improve.

Architecting the Future of Software Engineering

The role of information systems is changing in an increasingly digitalized world. Does this situation mean that established conceptual modeling practices relevant to the analysis and design of systems must change as well? In this talk, I will answer this question with a definite and affirmative “yes”. I will review the traditional assumptions around the conceptual modeling of information systems and demonstrate how advances in digital technology increasingly challenge these assumptions. I will then present a new framework for conceptual modeling that is consistent with the emerging requirements of a digital world. The framework draws attention to the role of conceptual models as mediators between physical and digital realities. It identifies new research questions about grammars, methods, scripts, agents, and contexts that are situated in intertwined physical and digital realities. I will discuss several implications for conceptual modeling scholarship for systems analysis and design that relate to the necessity of developing new methods and grammars for conceptual modeling, broadening the methodological array of conceptual modeling scholarship, and considering new dependent variables.

From Representation to Mediation: Modeling Information Systems in a Digital World

Processes are ubiquitous for modeling dynamic phenomena in many areas like business, production, healthcare, robotics etc. Many of these applications require to adequately deal with temporal aspects. Nevertheless, temporal aspects are not yet prominently treated in requirements engineering. Models for representing requirements need to express temporal properties of the context resp. the environment, which have to be taken into account for designing systems. And they need to express temporal conditions, which have to be satisfied or which represent properties of goals that should be reached. Models, therefore, contain constructs for durations, temporal constraints like allowed time between events, and deadlines. Furthermore, these models need a notion of correctness and we discuss different notions like satisfiability and controllability, and techniques, which can be employed to check these properties of these models at design time.

Big Data Integration

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