title: Semantic document representation: Do It with Wikification

authors: Witten, Ian H.

subjects: document representation

abstract: Wikipedia is a goldmine of information. Each article describes a single concept, and together they constitute a vast investment of manual eﬀort and judgment. 
Wikiﬁcation is the process of automatically augmenting a plain-text document with hyperlinks to Wikipedia articles. This involves associating phrases in the document with concepts, disambiguating them, and selecting the most pertinent. All three processes can be addressed by exploiting Wikipedia as a source of data. For the ﬁrst, link anchor text illustrates how concepts are described in running text. For the second and third, Wikipedia provides millions of examples that can be used to prime machine-learned algorithms for disambiguation and selection respectively. 
Wikiﬁcation produces a semantic representation of any document in terms of concepts. We apply this to (a) select index terms for scientiﬁc documents, and (b) determine the similarity of two  documents, in both cases outperforming humans in terms of agreement with human judgment. I will show how it can be applied to document clustering and classiﬁcation algorithms, and to produce back of the book indexes, improving on the state of the art in each case.

text: Semantic document representation: Do It with Wikification Wikipedia is a goldmine of information. Each article describes a single concept, and together they constitute a vast investment of manual eﬀort and judgment. 
Wikiﬁcation is the process of automatically augmenting a plain-text document with hyperlinks to Wikipedia articles. This involves associating phrases in the document with concepts, disambiguating them, and selecting the most pertinent. All three processes can be addressed by exploiting Wikipedia as a source of data. For the ﬁrst, link anchor text illustrates how concepts are described in running text. For the second and third, Wikipedia provides millions of examples that can be used to prime machine-learned algorithms for disambiguation and selection respectively. 
Wikiﬁcation produces a semantic representation of any document in terms of concepts. We apply this to (a) select index terms for scientiﬁc documents, and (b) determine the similarity of two  documents, in both cases outperforming humans in terms of agreement with human judgment. I will show how it can be applied to document clustering and classiﬁcation algorithms, and to produce back of the book indexes, improving on the state of the art in each case.

year: 2012

title: Auditing improvements in a product delivery process (AIPDP)

authors: Childerhouse, Paul

subjects: auditing

abstract: Purpose – The purpose of this paper is to assess the appropriateness of using the 12 previously published material flow simplicity rules (SRs) to shape the successful design and implementation of improvements in a casting company product delivery process (PDP).
Design/methodology/approach – The business process improvement (BPI) project described in this case study was actively supported by the UK knowledge transfer partnership initiative. Hence, the outcome in terms of gain in the key performance indicators has been subjected to close and independent scrutiny. The dynamics of process change observed (and displayed on the factory floor) can thereby be exploited as signatures showing actual rates of improvement. It is then straightforward to highlight the qualitative impact of SR relevance to the likely outcomes.
Findings – The 12 SRs were originally posited based on published research (particularly by Jay Forrester and Jack Burbidge) and many others. This case study independently tests their detailed application in one specific environment.
Research limitations/implications – None emerged during this case study. Other investigations may subsequently lead to prioritisation of the rules.
Practical implications – On this evidence the 12 material flow SRs are directly relevant and highly effective in the planning and execution of industrial PDP improvement programmes. They provide structure and build confidence during execution of this important task.
Originality/value – The paper has originality and values primarily due to new proven application of a recent published technique for BPI auditing.

text: Auditing improvements in a product delivery process (AIPDP) Purpose – The purpose of this paper is to assess the appropriateness of using the 12 previously published material flow simplicity rules (SRs) to shape the successful design and implementation of improvements in a casting company product delivery process (PDP).
Design/methodology/approach – The business process improvement (BPI) project described in this case study was actively supported by the UK knowledge transfer partnership initiative. Hence, the outcome in terms of gain in the key performance indicators has been subjected to close and independent scrutiny. The dynamics of process change observed (and displayed on the factory floor) can thereby be exploited as signatures showing actual rates of improvement. It is then straightforward to highlight the qualitative impact of SR relevance to the likely outcomes.
Findings – The 12 SRs were originally posited based on published research (particularly by Jay Forrester and Jack Burbidge) and many others. This case study independently tests their detailed application in one specific environment.
Research limitations/implications – None emerged during this case study. Other investigations may subsequently lead to prioritisation of the rules.
Practical implications – On this evidence the 12 material flow SRs are directly relevant and highly effective in the planning and execution of industrial PDP improvement programmes. They provide structure and build confidence during execution of this important task.
Originality/value – The paper has originality and values primarily due to new proven application of a recent published technique for BPI auditing.

year: 2010

title: Weaving the mat of Māori and Pacific learner success

authors: Tiakiwai, Sarah-Jane

subjects: Supporting learners, Pacific learner success, Māori learner success, higher education

abstract: The mat we are trying to weave at the University of Waikato to address educational outcomes, disparities and inequities in education for Māori and Pacific learners will weave rich data, stories and experience. Our goal is to use data to be better informed about what works for Māori and Pacific learners and what does not. Data is useful in building a more complete picture of what is happening to students, but student voice and previous research that has already captured the voices of Māori and Pacific experts, educators, students, families and communities can tell us more about why we are getting these outcomes. As we harness data to improve our knowledge, we must not forget the stories already in the mat and the stories being woven in the mat, for the stories are the gold.

This report details our work on this data-informed rather than data-driven project. It discusses how improved data and data analytic capability enhanced our understanding of the literature on Māori and Pacific learner success and the experience of Māori and Pacific learners at UoW. Our research and the report, however, also unapologetically privilege case studies through literature and Māori and Pacific student voices. We lay out the various materials – data, literature and voice – that will form our mat with this in mind, weaving them together in order to achieve better outcomes for Māori and Pacific learners at our university. These learners are the why of this mahi. Their success will create a beautiful pattern in the
weave.

text: Weaving the mat of Māori and Pacific learner success The mat we are trying to weave at the University of Waikato to address educational outcomes, disparities and inequities in education for Māori and Pacific learners will weave rich data, stories and experience. Our goal is to use data to be better informed about what works for Māori and Pacific learners and what does not. Data is useful in building a more complete picture of what is happening to students, but student voice and previous research that has already captured the voices of Māori and Pacific experts, educators, students, families and communities can tell us more about why we are getting these outcomes. As we harness data to improve our knowledge, we must not forget the stories already in the mat and the stories being woven in the mat, for the stories are the gold.

This report details our work on this data-informed rather than data-driven project. It discusses how improved data and data analytic capability enhanced our understanding of the literature on Māori and Pacific learner success and the experience of Māori and Pacific learners at UoW. Our research and the report, however, also unapologetically privilege case studies through literature and Māori and Pacific student voices. We lay out the various materials – data, literature and voice – that will form our mat with this in mind, weaving them together in order to achieve better outcomes for Māori and Pacific learners at our university. These learners are the why of this mahi. Their success will create a beautiful pattern in the
weave.

year: 2022-06