[Attachment(s) from Sheen included below]
Dear all,
AOA.
I have received the email below as I am a member of pakgrid forum for past few years. I am a final year PhD research student at The University of Huddersfield, UK awaiting viva.
In context of the email posting below, I would like to introduce my recent work on the Quran too. My work is a novel attempt of Question Answering on parallel streams of English Translations of the Quran. My work make use of QurAna (This work) to extract and embed semantic knowledge for the Quran. Further details can be found in the poster paper published in the following proceedings (page 66) as - Quran Ontologies and Keywords for Question Answering
Proceedings of WACL#'2
Second Workshop on
Arabic Corpus Linguistics
Eric Atwell and Andrew Hardie (editors)
Monday 22nd July 2013
Lancaster University, UK
Second Workshop on
Arabic Corpus Linguistics
Eric Atwell and Andrew Hardie (editors)
Monday 22nd July 2013
Lancaster University, UK
Please find attached my poster for a quick reference. I shall post more information once my website is up and available (after my viva - perhaps Oct 2013). Any comments/feedback on this poster/paper will be very useful in connection to my workshop presentation at Lancaster next week. I would much appreciate any feedback. Thank you.
Best Regards.
Waslam,
J I l a n i
---------- Forwarded message ----------From: Tariq Mahmood <tariq.mahmood@nu.edu.pk> Date: 10 July 2013 10:45Subject: [pakgrid] application of Data Mining techniques on Qur'anic scriptureTo: pakgrid@yahoogroups.com, "msnu@yahoogroups.com" <msnu@yahoogroups.com>, research-network@yahoogroups.com Cc: CS Faculty <facultycs.khi@nu.edu.pk>
Assalamoalaikum,
--
A relatively novel research field is related to the application of data mining techniques on Holy scriptures, e.g., Holy Qur'an, Holy Bible, Holy Torah etc. From Qur'anic perspective, the field is coming to be known as Qur'an Mining. This paper published in 2010 provided the first direction on this field. The aim is to extract interesting patterns which can provide useful insights to facilitate and support the interpretational works on the Qur'an, along with providing interesting knowledge at high level of abstraction for the general population. This is another ongoing work by a PhD student in Leeds.
Recently I have done some work in Qur'an Mining with one of my FYP groups, using the Rapid Miner tool. The project website is https://sites.google.com/site/miningthequran/. We have applied cluster analysis (through CLOPE algorithm) on Qur'anic verses of all 30 chapters. Through this, we extracted the "significant" topics mentioned in each chapter (CLOPE calculates this significance based on the frequency of occurrence of similar values - more similar values across rows imply greater significance). In all, we extracted 226 topics, e.g., Allah, Day of Judgement, Aad, Thamud, Saba Valley etc. The topics for each chapter (juzz) are shown in https://sites.google.com/site/miningthequran/text-mining-of-qur-an/graphs
These topics act as types of "bookmarks" or keywords for each chapter, e.g., the the topic "Divorce" is significant in Chapter 28 in which all matters pertaining to divorce are explained in Surah Tallaq.
As a next step, we performed association rule mining to extract probabilistic associations between the extracted topics. For instance the rule Aad 13 --> Thamud 13 (Confidence: 1) implies that in 13 chapters, whenever Aad has been clustered then Thamud has also been clustered. This leads us to question: "Why Aad and Thamud are significant (mentioned) collectively in this way?" - Scholars have in fact responded: "Both were disbelieving nations, with Thamud being the relative of Aad, and coming in time immediately after Aad; both received severe exemplary punishments from God for not following their Prophets". Other rules can be viewed at https://sites.google.com/site/miningthequran/text-mining-of-qur-an/association-rule-mining.
We are still working to improve our cluster analysis and the rule mining. I would like to invite anyone who has any comments, suggestions or idea regarding this work to send me a private email.
Regards
Dr. Tariq MahmoodAssistant Professor - Coordinator Graduate Students Committee
FAST- NU, Karachi Campus, Pakistan
Tel: 111 128 128 - Ext: 233
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