Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2017)

The large scale of scholarly publications poses a challenge for scholars in information seeking and sensemaking. Bibliometrics, information retrieval (IR), text mining and NLP techniques could help in these search and look-up activities, but are not yet widely used. This workshop is intended to stimulate IR researchers and digital library professionals to elaborate on new approaches in natural language processing, information retrieval, scientometrics, text mining and recommendation techniques that can advance the state-of-the-art in scholarly document understanding, analysis, and retrieval at scale. The BIRNDL workshop at SIGIR 2017 will incorporate an invited talk, paper sessions and the third edition of the Computational Linguistics (CL) Scientific Summarization Shared Task.Comment: 2 pages, workshop paper accepted at the SIGIR 201

Management of Digital Libraries for Active Learning Environment: Trends and Challenges

E-content learning is one of the innovative information system based learning environment that has adopted in every library throughout the world. It deals with work-related the digital library even in the presence of an electronic resources department. It can be achieved with the assistance of digital technologies for making to access and delivering the contents. A virtual classroom for learning and training has a sustainable increase in recent days. User-friendly Libraries is the major source of that contributes to improving the knowledge of both faculties and students through active search. The biggest advantage of E-content learning is you can learn at any convenient time at your workplace. Modern Libraries that have the facility of a fully automated system that helps to search the book, issue, and renewal and receiving of books. They are several formats of e-books, journals and articles are available on the internet. From reading a daily newspaper, textbooks, magazines and periodical journals are available in just the web browser. To evaluate the performance of the impact of research and books by Bibliometrics and measures the impact of characteristics of science and scientific research by Scientometrics are used. Networking technologies like internet and intranet are used for sharing the e-content in a smart manner. Every day the volume of data has increased rapidly, with the help of Digital Technologies like Cloud Computing and Big Data are used for storing and retrieving a large volume of data. In this paper mainly focuses on the current trends and challenges like unauthorized access and plagiarism that are faced by e-content management. And also give suggestion to overcome these challenges in digital libraries management are discussed

A decade of in-text citation analysis based on natural language processing and machine learning techniques: an overview of empirical studies

In-text citation analysis is one of the most frequently used methods in research evaluation. We are seeing significant growth in citation analysis through bibliometric metadata, primarily due to the availability of citation databases such as the Web of Science, Scopus, Google Scholar, Microsoft Academic, and Dimensions. Due to better access to full-text publication corpora in recent years, information scientists have gone far beyond traditional bibliometrics by tapping into advancements in full-text data processing techniques to measure the impact of scientific publications in contextual terms. This has led to technical developments in citation classifications, citation sentiment analysis, citation summarisation, and citation-based recommendation. This article aims to narratively review the studies on these developments. Its primary focus is on publications that have used natural language processing and machine learning techniques to analyse citations