Semantic Hadith: Leveraging Linked Data Opportunities for Islamic Knowledge

نویسندگان

  • Amna Basharat
  • Bushra Abro
  • Ismailcem Budak Arpinar
  • Khaled Rasheed
چکیده

While the linked data paradigm has gathered much attention over the recent years, the domain of Islamic knowledge has yet to cache upon its full potential. The web-scale integration of Islamic texts and knowledge sources at large is currently not well facilitated. The two primary sources of the Islamic legislation are the Qur’an and the Hadith (collections of Prophetic Narrations) and form the basis of laying the foundation for anyone wanting to learn Islam. This paper presents ongoing design and development efforts to semantically model and publish the Hadith, which holds a primary position as the next most important knowledge source, after the Qur’an. We present the design of the linked data vocabulary for not only publishing these narrations as linked data, but also delineate upon the mechanism for linking these narrations with the verses of the Qur’an. We establish how the links between the Hadith and the Qur’anic verses may be captured and published using this vocabulary, as derived from the secondary and tertiary sources of knowledge. We present detailed insights into the potential, the design considerations and the use cases of publishing this wealth of knowledge as linked data. CCS Concepts •Information systems→Multilingual and cross-lingual retrieval; Information extraction; •Computing methodologies → Ontology engineering;

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Multilingual Datasets Repository of the Hadith Content

Knowledge extraction from unstructured data is a challenging research problem in research domain of Natural Language Processing (NLP). It requires complex NLP tasks like entity extraction and Information Extraction (IE), but one of the most challenging tasks is to extract all the required entities of data in the form of structured format so that data analysis can be applied. Our focus is to exp...

متن کامل

Verification Hadith Correctness in Islamic Web Pages Using Information Retrieval Techniques

Huge amount of different types of information is being posted on the web on daily basis. There are available tools to enable users to search for this vast amount of information. Figure 1 provides the different types of web information. Certain types of web information need to verify its correctness once posted on the web (i.e. the information has a reference that cannot be tampered with or chan...

متن کامل

Hadith Web Browser Verification Extension

Internet users are more likely to ignore Internet content verification and more likely to share the content. When it comes to Islamic content, it is crucial to share and spread fake or inaccurate content. Even if the verification process of Islamic content is becoming easier every day, the Internet users generally ignore the verification step and jump into sharing the content. “How many clicks ...

متن کامل

Verifying Hadith Correctness in Islamic Web Pages using Information Retrieval Techniques

Certain types of web information need to be verified for correctness once being posted on the web (i. e. the information has a reference that cannot be tampered with). Such these types of information need systems in order to verify and assure their correctness. "The Hadith"; which is the sayings of Prophet Mohammad is an example of these types of information. Hadith in Islam is a very...

متن کامل

Leveraging the web of data via linked widgets

Machine-readable datasets that have increasingly become available in open formats in recent years have great potential as a foundation for innovative applications and services. Linked Data in particular – a set of best practices for publishing and connecting structured data on the Web – has facilitated significant progress in evolving the Web of documents into a Web of Data. However, although t...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2016