Explainable Word-Embeddings for Medical Digital Libraries - A Context-Aware Approach

2020 ◽  
Author(s):  
Janus Wawrzinek ◽  
Said Ahmad Ratib Hussaini ◽  
Oliver Wiehr ◽  
José María González Pinto ◽  
Wolf-Tilo Balke
Keyword(s):  
Digital Libraries ◽  
Context Aware ◽  
Word Embeddings

A study on next‐generation digital library using context‐awareness technology

2013 ◽  
Vol 31 (2) ◽  
pp. 236-253 ◽  
Author(s):  
Younghee Noh
Keyword(s):  
Digital Library ◽  
Digital Libraries ◽  
Context Awareness ◽  
Theoretical Research ◽  
Context Aware ◽  
Semantic Retrieval ◽  
Next Generation ◽  
Climate Control ◽  
Content Type ◽  
Reference Services

PurposeThis study seeks to examine the concepts of context, context‐awareness, and context‐awareness technology needed for applying context‐awareness technology to the next‐generation of digital libraries, and proposed context‐aware services that can be applied to any situation by illustrating some library contexts.Design/methodology/approachThe paper investigated both theoretical research and case analysis studies before suggesting a service model for context‐awareness‐based libraries by examining the context, context‐awareness, and context‐awareness technology in depth.FindingsThis paper derived possible library services which could be provided if context‐awareness services are implemented by examining and analyzing case studies and systems constructed in other fields. A library‐applied context‐aware system could recognize users entering the library and provide optimal services tailored to each situation for both new and existing users. In addition, the context‐awareness‐based library could provide context‐awareness‐based reference services, context‐awareness‐based loan services, and cater to other user needs in the stacks, research space, and a variety of other information spaces. The context‐awareness‐based library could also recognize users in need of emergency assistance by detecting the user's behavior, movement path, and temperature, etc. Comfort or climate‐control services could provide the user with control of the temperature, humidity, illumination and other environmental elements to fit the circumstances of users, books, and instruments through context‐aware technology.Practical implicationsNext‐generation digital libraries apply new concepts such as semantic retrieval, real‐time web, cloud computing, mobile web, linked data, and context‐awareness. Context‐awareness‐based libraries can provide applied context‐awareness access service, reactive space according to the user's access, applied context‐awareness lobbies, applied context‐awareness reference services, and applied context‐awareness safety services, context‐awareness‐based comfort services and so on.Originality/valueReal instances of libraries applying context‐aware technology are few, according to the investigative results of this study. The study finds that the next‐generation digital library using context‐awareness technology can provide the best possible service for the convenience of its users.

scholarly journals Context-Aware Misinformation Detection: A benchmark of Deep Learning Architectures using Word Embeddings

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Vlad-Iulian Ilie ◽  
Ciprian-Octavian Truica ◽  
Elena-Simona Apostol ◽  
Adrian Paschke
Keyword(s):  
Deep Learning ◽  
Context Aware ◽  
Word Embeddings ◽  
Learning Architectures

scholarly journals Personalised Information Recommender Using Framework for Ontology Alignment Among Digital Libraries

2016 ◽  
Vol 36 (4) ◽  
Author(s):  
Anirban Chakrabarty ◽  
Sudipta Roy
Keyword(s):  
Digital Libraries ◽  
User Profile ◽  
Context Aware ◽  
Human Intervention ◽  
Ontology Alignment ◽  
User Interest ◽  
Search Results ◽  
Efficient Information ◽  
Alignment Model ◽  
Multiple Ontologies

In the digital erantology is considered as one of the powerful tools for knowledge representation and efficient information retrieval. Ontology alignment is a process that discovers mapping between source and target ontologies, where each mapping is a relationship based on some similarity measure. This paper, has presented a new context aware alignment approach that needs little human intervention and it can map multiple ontologies to generate user interest dynamically. The objective is to design and develop an ontology alignment model that provides more benefits to its stakeholders in sharing resources and searching across digital libraries based on priorities of users. The experimental results evidently indicate significant improvement in search results when user profile and navigational pattern ontologies are aligned with digital library ontology.

Audiobook Speech Synthesis Conditioned by Cross-Sentence Context-Aware Word Embeddings

2021 ◽  
Author(s):  
Wataru Nakata ◽  
Tomoki Koriyama ◽  
Shinnosuke Takamichi ◽  
Naoko Tanji ◽  
Yusuke Ijima ◽  
...  
Keyword(s):  
Speech Synthesis ◽  
Sentence Context ◽  
Context Aware ◽  
Word Embeddings

scholarly journals Using Opinion Mining in Context-Aware Recommender Systems: A Systematic Review

Information ◽  
2019 ◽  
Vol 10 (2) ◽  
pp. 42 ◽  
Author(s):  
Camila Sundermann ◽  
Marcos Domingues ◽  
Roberta Sinoara ◽  
Ricardo Marcacini ◽  
Solange Rezende 
Keyword(s):  
Systematic Review ◽  
Recommender Systems ◽  
Digital Libraries ◽  
Opinion Mining ◽  
Contextual Information ◽  
Context Aware ◽  
Extraction Techniques ◽  
Current Context ◽  
Rich Information ◽  
The Rich

Recommender systems help users by recommending items, such as products and services, that can be of interest to these users. Context-aware recommender systems have been widely investigated in both academia and industry because they can make recommendations based on a user’s current context (e.g., location and time). Moreover, the advent of Web 2.0 and the growing popularity of social and e-commerce media sites have encouraged users to naturally write texts describing their assessment of items. There are increasing efforts to incorporate the rich information embedded in user’s reviews/texts into the recommender systems. Given the importance of this type of texts and their usage along with opinion mining and contextual information extraction techniques for recommender systems, we present a systematic review on the recommender systems that explore both contextual information and opinion mining. This systematic review followed a well-defined protocol. Its results were based on 17 papers, selected among 195 papers identified in four digital libraries. The results of this review give a general summary of the current research on this subject and point out some areas that may be improved in future primary works.

scholarly journals Context-Aware Music Recommender Systems for Groups: A Comparative Study

Information ◽  
2021 ◽  
Vol 12 (12) ◽  
pp. 506
Author(s):  
Adrián Valera ◽  
Álvaro Lozano Murciego ◽  
María N. Moreno-García
Keyword(s):  
Comparative Study ◽  
Recommender Systems ◽  
Digital Libraries ◽  
Context Aware ◽  
The Past ◽  
Single User ◽  
Streaming Services ◽  
Music Recommender Systems ◽  
Music Streaming ◽  
Group Recommender

Nowadays, recommender systems are present in multiple application domains, such as e-commerce, digital libraries, music streaming services, etc. In the music domain, these systems are especially useful, since users often like to listen to new songs and discover new bands. At the same time, group music consumption has proliferated in this domain, not just physically, as in the past, but virtually in rooms or messaging groups created for specific purposes, such as studying, training, or meeting friends. Single-user recommender systems are no longer valid in this situation, and group recommender systems are needed to recommend music to groups of users, taking into account their individual preferences and the context of the group (when listening to music). In this paper, a group recommender system in the music domain is proposed, and an extensive comparative study is conducted, involving different collaborative filtering algorithms and aggregation methods.

scholarly journals Interactive context-aware user-driven metadata correction in digital libraries

2012 ◽  
Vol 13 (1) ◽  
pp. 17-32 ◽  
Author(s):  
David Bainbridge ◽  
Michael B. Twidale ◽  
David M. Nichols
Keyword(s):  
Digital Libraries ◽  
Context Aware

The prospects for IRBIS development: The new product - IRBIS64+

2017 ◽  
pp. 65-74 ◽  
Author(s):  
Alexander Brodovsky ◽  
Konstantin Sboichakov ◽  
Vladimir Sokolovsky
Keyword(s):  
Digital Libraries ◽  
New Product ◽  
Automation System ◽  
Library Automation ◽  
Expanded Access ◽  
Access Right

IRBIS64+ - the new product of IRBIS Library Automation System designed for building and maintaining digital libraries, is introduced. IRBIS64+ new functionality is revealed. New possibilities for users, including those with expanded access right, are described. The IRBIS64+ modules are named.

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