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- research-articleMay 2024
Flowdashboard: authoring pandemic dashboards with a transparent flow model
Journal of Visualization (JVIS), Volume 27, Issue 5Pages 941–961https://doi.org/10.1007/s12650-024-00994-yAbstractData dashboards with intuitive visualizations make information more accessible and provide a more in-depth explanation. They have emerged as a crucial tool for effectively communicating pandemic information to wide-ranging audiences. However, the ...
- research-articleFebruary 2024
Generating interactive documents for domain-specific validation of formal models
International Journal on Software Tools for Technology Transfer (STTT) (STTT), Volume 26, Issue 2Pages 147–168https://doi.org/10.1007/s10009-024-00739-0AbstractEspecially in industrial applications of formal modeling, validation is as important as verification. Thus, it is important to integrate the stakeholders’ and the domain experts’ feedback as early as possible. In this work, we propose two ...
- ArticleJuly 2022
Inducing a Malay Lexicon from an Unlabelled Dataset Using Word Embeddings
Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial IntelligencePages 382–394https://doi.org/10.1007/978-3-031-08530-7_32AbstractThe Malay language in Malaysia is commonly mixed with English and slang words especially when observing social media text. In the past, researchers would develop Malay-English lexicons by translating widely accepted English lexicons and carrying ...
- ArticleAugust 2021
Domain-Specific Sentence Encoder for Intention Recognition in Large-Scale Shopping Platforms
Knowledge Science, Engineering and Management Pages 427–438https://doi.org/10.1007/978-3-030-82147-0_35AbstractIntelligent dialog robot is now a primary necessity in online shopping, since it can significantly improve the service quality of the online merchants with fewer customer service staffs. And the core functionality of such robots is to identify the ...
- ArticleApril 2020
Incremental Approach for Automatic Generation of Domain-Specific Sentiment Lexicon
AbstractSentiment lexicon plays a vital role in lexicon-based sentiment analysis. The lexicon-based method is often preferred because it leads to more explainable answers in comparison with many machine learning-based methods. But, semantic orientation ...
- research-articleFebruary 2020
A framework to generate domain-specific manycore architectures from dataflow programs
Microprocessors & Microsystems (MSYS), Volume 72, Issue Chttps://doi.org/10.1016/j.micpro.2019.102908AbstractIn the last 15 years we have seen, as a response to power and thermal limits for current chip technologies, an explosion in the use of multiple and even many computer cores on a single chip. But now, to further improve performance and ...
- research-articleJanuary 2020
Constructing biomedical domain-specific knowledge graph with minimum supervision
Knowledge and Information Systems (KAIS), Volume 62, Issue 1Pages 317–336https://doi.org/10.1007/s10115-019-01351-4AbstractDomain-specific knowledge graph is an effective way to represent complex domain knowledge in a structured format and has shown great success in real-world applications. Most existing work on knowledge graph construction and completion shares ...
- ArticleNovember 2019
Domain-General Versus Domain-Specific Named Entity Recognition: A Case Study Using TEXT
Multi-disciplinary Trends in Artificial IntelligencePages 238–246https://doi.org/10.1007/978-3-030-33709-4_21AbstractNamed entity recognition (NER) seeks to identify and classify named entities within bodies of text into language categories such as nouns, that are reflective of locations, organizations, and people. As it is language dependent, the approach ...
- ArticleSeptember 2019
CLMed: A Cross-lingual Knowledge Graph Framework for Cardiovascular Diseases
AbstractCurrently, knowledge graphs can be used to better query complex related information, understand user intentions from the semantic level, and improve search quality. With the increase in cross-lingual medical data recently, the construction of ...
- ArticleSeptember 2019
SATALex: Telecom Domain-specific Sentiment Lexicons for Egyptian and Gulf Arabic Dialects
WEBIST 2019: Proceedings of the 15th International Conference on Web Information Systems and TechnologiesPages 169–176https://doi.org/10.5220/0007950401690176Given the sacristy of the Arabic sentiment lexicon especially for the Egyptian and Gulf dialects, together with the fact that a word s sentiment depends mostly on the domain in which it is used, we present SATALex which is a two-part sentiment lexicon ...
- ArticleOctober 2018
Factors of Efficient Semantic Web Application Development
On the Move to Meaningful Internet Systems. OTM 2018 ConferencesPages 565–572https://doi.org/10.1007/978-3-030-02671-4_35AbstractCreating domain-specific Linked Data applications is a complex endeavor as they need to work with ontological knowledge, consume/produce Linked Data and perform nontrivial business logic. In this work, we analyze several domain-specific Linked ...
- research-articleMarch 2018
Social collaborative service recommendation approach based on users trust and domain-specific expertise
Future Generation Computer Systems (FGCS), Volume 80, Issue CPages 355–367https://doi.org/10.1016/j.future.2017.05.036A few years ago, the Internet of (Web) Service vision came to offer services to all aspects of life and business. The increasing number of Web services make service recommendation a directive research to help users discover services. Furthermore, the ...
- research-articleAugust 2016
Parallelization of Vertical Search Engine using Hadoop and MapReduce
AICTC '16: Proceedings of the International Conference on Advances in Information Communication Technology & ComputingArticle No.: 51, Pages 1–5https://doi.org/10.1145/2979779.2979830In this paper, we build a parallelized Vertical Search Engine on Apache Hadoop cluster. Domain of our Vertical Search Engine is Computer related terminologies and it takes seed URLs of computer domain extracted from Wikipedia. These web-pages are then ...
- short-paperJune 2016
Local, Domain-independent Heuristics for the FEIII Challenge: Lessons and Observations
DSMM'16: Proceedings of the Second International Workshop on Data Science for Macro-ModelingArticle No.: 17, Pages 1–2https://doi.org/10.1145/2951894.2951911The recently concluded Financial Entity Identification and Information Integration (FEIII) competition is an example of a domain-specific entity linking challenge. Given a variety of datasets describing financial institutions, the goal of the ...
- research-articleDecember 2014
GeT-based Ontology Construction for Semantic Disambiguation
iiWAS '14: Proceedings of the 16th International Conference on Information Integration and Web-based Applications & ServicesPages 445–453https://doi.org/10.1145/2684200.2684320Semantic Ambiguation refers to the disagreement in meaning of terms used by parties in communication due to polysemy, leading to increased complexity and lesser accuracy in information integration, migration, retrieval and related activities. Semantic ...
- ArticleOctober 2012
An Unsupervised Technical Readability Ranking Model by Building a Conceptual Terrain in LSI
SKG '12: Proceedings of the 2012 Eighth International Conference on Semantics, Knowledge and GridsPages 39–46https://doi.org/10.1109/SKG.2012.20Searching for domain-specific related information has gained a high popularity in recent years. Naturally, everyone is not at par with each other when it comes to knowledge about the concepts of a domain. A doctor may be well versed in her field of ...
- articleNovember 2011
Implementing collaborative learning activities in the classroom supported by one-to-one mobile computing: A design-based process
Journal of Systems and Software (JSSO), Volume 84, Issue 11Pages 1961–1976https://doi.org/10.1016/j.jss.2011.07.011Mobile devices such as PDAs, smartphones and tablet computers are becoming increasingly popular, setting out opportunities for new ways of communicating and collaborating. Research initiatives have ascertained the potential of mobile devices in ...