Seminar: Using Interactive Visualisations to Analyse the Structure and Treatment of Topics in Learning Materials

Title: Using Interactive Visualisations to Analyse the Structure and Treatment of Topics in Learning Materials

Speaker: Tanya Howden, Heriot-Watt University

Date: 11:30 on 14 May 2018

Location: CM F.17, Heriot-Watt University

Abstract: With the amount of information available online growing, it is becoming more and more difficult to find what you are looking for, particularly when you’re in an area that you have very little background in. For example, if you were learning about neural networks for the first time, the number of responses you get from a simple Google search can be overwhelming – how do you know where to start?! This is only one of the many challenges faced when searching for appropriate learning materials.

In this talk, I will be discussing the motivations behind my research interests before introducing and demonstrating a prototype that has been created with the aim to give learners a more engaging environment with unified organisation and access to different materials on one subject.

Seminar: PhD Progression Talks

A double bill of PhD progression talks (abstracts below):

Venue: 3.07 Earl Mountbatten Building, Heriot-Watt University, Edinburgh

Time and Date: 11:15, 8 May 2017

Evaluating Record Linkage Techniques

Ahmad Alsadeeqi

Many computer algorithms have been developed to automatically link historical records based on a variety of string matching techniques. These generate an assessment of how likely two records are to be the same. However, it remains unclear how to assess the quality of the linkages computed due to the absence of absolute knowledge of the correct linkage of real historical records – the ground truth. The creation of synthetically generated datasets for which the ground truth linkage is known helps with the assessment of linkage algorithms but the data generated is too clean to be representative of historical records.

We are interested in assessing data linkage algorithms under different data quality scenarios, e.g. with errors typically introduced by a transcription process or where books can be nibbled by mice. We are developing a data corrupting model that injects corruptions into datasets based on given corruption methods and probabilities. We have classified different forms of corruptions found in historical records into four types based on the effect scope of the corruption. Those types are character level (e.g. an f is represented as an s – OCR Corruptions), attribute level (e.g. gender swap – male changed to female due to false entry), record level (e.g. missing records due to different reasons like loss of certificate), and group of records level (e.g. coffee spilt over a page, lost parish records in fire). This will give us the ability to evaluate record linkage algorithms over synthetically generated datasets with known ground truth and with data corruptions matching a given profile.

Computer-Aided Biomimetics: Knowledge Extraction

Ruben Kruiper

Biologically inspired design concerns copying ideas from nature to various other domains, e.g. natural computing. Biomimetics is a sub-field of biologically inspired design and focuses specifically on solving technical/engineering problems. Because engineers lack biological knowledge the process of biomimetics is non-trivial and remains adventitious. Therefore, computational tools have been developed that aim to support engineers during a biomimetics process by integrating large amounts of relevant biological knowledge. Existing tools work apply NLP techniques on biological research papers to build dedicated knowledge bases. However, these existing tools impose an engineering view on biological data. I will talk about the support that ‘Computer-Aided Biomimetics’ tools should provide, introducing a theoretical basis for further research on the appropriate computational techniques.

Seminar: Developing a simple RDF graph library

Date: 11:15, 14 November

Venue: F.17. Colin Maclaurin Building, Heriot-Watt University

Title: Developing a simple RDF graph library

Speaker: Rob Stewart, Heriot-Watt University

Abstract: In this talk I shall present the design and the implementation details of a simple Haskell library for working with RDF data. The library supports parsing and pretty printing for the XML/Turtle/NTriple RDF serialisation formats, and graph querying. It has multiple in-memory representations for RDF graphs, exposed as a parameter to the programmer to meet their application specific needs.

The presentation will cover: the API, how the various RDF graph representations are implemented internally, the W3C testsuite that this library uses to ensure W3C RDF spec conformance, and the library’s performance benchmarking suite.

Seminar: Managing Domain-Aware Lexical Knowledge

Date: 11:15, 10 October 2016

Venue: F.17. Colin Maclaurin Building, Heriot-Watt University

Title: Managing Domain-Aware Lexical Knowledge

Speaker: David Leoni, Heriot-Watt University

Abstract: The talk will describe the implementation of Diversicon, a new open source system for extending and integrating terminologies as found in Wordnet databases. Issues on knowledge formats, standards, and open source development will be discussed. As a practical use case, we connected Diversicon to the the S-Match semantic matcher tool in order to support domain-aware semantic matching (

Seminar: Data Integration Support for Offshore Decommissioning Waste Management

Oli RigDate: 11:15, 26 September 2016

Venue: F.17. Colin Maclaurin Building, Heriot-Watt University

Title: Data Integration Support for Offshore Decommissioning Waste Management

Speaker: Abiodun Akinyemi, School of Energy, Geoscience, Infrastructure and Society (EGIS), Heriot-Watt University

Abstract: Offshore decommissioning activities represent a significant business opportunity for UK contracting and consulting companies, albeit they constitute liability to the owners of the assets – because of the cost – and UK government – because of tax relief. The silver lining is that waste reuse can bring some reprieve as savings from the sales of decommissioned facility items can reduce the overall removal cost to an asset owner. However, characterizing an asset inventory to determine which decommissioned facility items can be reused is prone to errors because of the difficulty involved in integrating asset data from different sources in a meaningful way. This research investigates a data integration framework, which enables rapid assessment of items to be decommissioned, to inform circular economy principles. It evaluates existing practices in the domain and devises a mechanisms for higher productivity using the semantic web and ISO 15926.

Bio: Abiodun Akinyemi is a PhD student at the School of Energy, Geoscience, Infrastructure and Society at Heriot-Watt University. He has an MPhil in Engineering from the University of Cambridge and has worked on Asset Information Management in the oil and gas industry for over 8 years.

Seminar: Semantic Alignment for Agent Interactions: making communication meaningful in open environments

Date: 11:15, 12 September 2016

Venue: F.17. Colin Maclaurin Building, Heriot-Watt University

Title: Semantic Alignment for Agent Interactions: making communication meaningful in open environments

Speaker: Paula Chocrón, Artificial Intelligence Research Institute (IIIA-CSIC)

Abstract: The fact that the meaning of words depends on the context in which they are used is evident for any speaker: if someone asks for chips in a cafeteria, she will unlikely be expecting to get electronic circuits. In human dialogues this kind of semantic alignment happens permanently and has been extensively studied.

In this talk I will discuss how these ideas can also be applied to help achieve meaningful communication in artificial multi-agent systems, in which heterogeneous interlocutors will likely use different vocabularies. I will start by presenting a notion of context that is based on the formal specifications of the tasks performed by agents. I will then show how this context can be used by the agents to align their vocabularies dynamically, by learning mappings from the experience of previous interactions. In doing so, we will also rethink the traditional approach to semantic matching and its evaluation, tackling the following questions: What does it mean for agents to “understand each other”? When is an alignment good for a particular application? How can the interaction context help interoperability?

Bio: Paula Chocrón is a PhD student at the Artificial Intelligence Research Institute (IIIA-CSIC) in Barcelona, Spain. She is part of the ESSENCE Marie Curie ITN, which funds PhD projects on topics related to the evolution of shared semantics in artificial environments in different European institutes. Paula is currently interested on studying the relation between the fields of ontology matching and multi-agent communication.

Seminar: Theoretical Models of Decision Making in Ultimatum Game

Date: 11:15, 1 August 2016

Venue: F.17. Colin Maclaurin Building, Heriot-Watt University

Title: Theoretical Models of Decision Making in Ultimatum Game

Speaker: Tatiana V. Guy, Head of Department of Adaptive Systems, Institute Information Theory and Automation, Czech Academy of Sciences, Prague

Abstract: Decision-making (DM) is considered the most essential phase in a human volitional act and according to traditional economic models humans could be replaced by “rational agents”. Predictions implied by this are well seen on the considered Ultimatum Game (UG).

In a short informal talk I will discuss i) fairness aspects as the cause of the deviations from the predicted game-theoretical behaviour in UG responder’s behaviour and ii) how the impact of limited deliberation effort allocated by human-responder can be modelled in multi-proposer UG.

Bio: Tatiana V. Guy is Head of Department of Adaptive Systems, Institute Information Theory and Automation, Czech Academy of Sciences, Prague.

Research interests include conceptual, theoretical and algorithmic aspects of multiple-participant decision-making (DM) problem in complex dynamic and uncertain environment; descriptive DM under uncertainty; nature-inspired patterns of cooperation.

Degrees: Dipl. Eng.- Polytechnic Institute, Kiev, USSR, 1991;

Ph.D. – Faculty of Electrical Engineering, Czech Technical University, Prague, 1999.

Seminar: Ontology-Driven Resource Description for Software Defined Wireless Networks

Date: 11:15 20 June 2016

Venue: F.17. Colin Maclaurin Building, Heriot-Watt University

Title: Ontology-Driven Resource Description for Software Defined Wireless Networks

Speaker: Qianru Zhou, PhD student, Advanced Wireless Technologies (AWiTec) Lab, Electrical, Electronic and Computer Engineering, Heriot-Watt University

Abstract: The future management and control of wireless communication networks will rely on developing the most appropriate abstraction to represent various network elements. In order to provide high-level abstraction and enhance network programmability to mine these data, a semantic-based network information modeling approach is required. In this presentation, a ontology is built for software defined wireless networks (SDWNs) and the methodology for modeling based on the proposed ontology of the network information is illustrated in detail. By applying data mining to extract implicit and valuable information from the proposed SDWN information model, “Lost Silence”, which can recognize the pattern of a disaster and provide an early alert service, is developed utilizing a real life scenario.

Bio: Qianru Zhou received her Bachelor degree in Telecommunication Engineering from Shenzhen University, Guangdong, China, in 2009, and MSc degree in Optical Engineering from Beijing University of Posts and Telecommunications, Beijing, China, in 2013. She worked as a System Programmer in Sanmina, Shenzhen, China, in 2014. Since January 2015 she has been a PhD student at Heriot-Watt University, Edinburgh, UK, under the supervision of Prof. Cheng-Xiang Wang, Heriot-Watt University and Prof. Stephen McLaughlin, Heriot-Watt University.

Seminar: Azmi Hassan – 9 May 2016

Talk Title: Communication and Tracking Ontology Development for Civilians Earthquake Disaster Assistance

Presenter: Azmi Hassan

Abstract :
One of the most important components of recovery and speedy response during and immediately after an earthquake disaster is a communication and tracking which possibly capable of discovering affected peoples and connects them with their families, friends, and communities with first responders and/or to support computational systems. With the capabilities of current mobile technologies, we believed that it can be a smart earthquake disaster tools aid to help people in this situation. Ontologies are becoming crucial parts to facilitate an effective communication and coordination across different parties and domains in providing assistance during earthquake disasters, especially where affected locations are remote, affected population is large and centralized coordination is poor. Several existing competing methodologies give guidelines as how ontology may be built, there are no single right ways of building an ontology and no standard of Disaster Relief Ontology exist, although separated related ontologies may be combined to create an initial version. This article discusses the on-going development of an ontology for a Communication and Tracking System (CTS), based on existing related ontologies, that is aimed to be used by mobile phone applications to support earthquake disaster relief at the real-time.