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Automatic Detection of Cross-Disciplinary Knowledge Associations

Menasha Thilakaratne, Katrina Falkner, Thushari Atapattu
2018 Proceedings of ACL 2018, Student Research Workshop  
Consequently, important and hidden associations among these fragmented knowledge that can be linked to produce significant scientific discoveries remain unnoticed.  ...  Detecting interesting, cross-disciplinary knowledge associations hidden in scientific publications can greatly assist scientists to formulate and validate scientifically sensible novel research hypotheses  ...  As for the literature database, we are using Web of Science Core Collection (WoS) 1 to obtain the meta data of the literature such as title, abstract, and author keywords.  ... 
doi:10.18653/v1/p18-3007 dblp:conf/acl/ThilakaratneFA18 fatcat:vicvm67le5gp7kgyjv4id5o6ai

A two-phase sampling technique for information extraction from hidden web databases

Y. L. Hedley, M. Younas, A. James, M. Sanderson
2004 Proceedings of the 6th annual ACM international workshop on Web information and data management - WIDM '04  
Hidden Web databases maintain a collection of specialised documents, which are dynamically generated in response to users' queries.  ...  In the second phase, 2PS detects Web page templates in the sampled documents in order to extract information relevant to queries. We test 2PS on a number of realworld Hidden Web databases.  ...  RELATED WORK A major area of current research into the information retrieval of Hidden Web databases focuses on the automatic discovery of information contents of databases, in order to facilitate their  ... 
doi:10.1145/1031453.1031456 dblp:conf/widm/HedleyYJS04 fatcat:7vj65haoo5djpgr2zmuxas6tha

Building an Information and Knowledge Fusion System [chapter]

Tamás Mészáros, Zsolt Barczikay, Ferenc Bodon, Tadeusz P. Dobrowiecki, György Strausz
2001 Lecture Notes in Computer Science  
In this paper authors present a system for information and knowledge fusion that provides an integrated management of information in a particular task domain.  ...  The proposed system uses structured (database and XML-based) and unstructured (information retrieval) data acquisition techniques, various knowledge representation schemes to integrate retrieved information  ...  Data Mining Data mining investigates knowledge discovery techniques that obtain predefined structured knowledge solely from huge databases.  ... 
doi:10.1007/3-540-45517-5_10 fatcat:k3n6rgtqnjbevknrhabjfhuvg4

Sampling, information extraction and summarisation of Hidden Web databases

Yih-Ling Hedley, Muhammad Younas, Anne James, Mark Sanderson
2006 Data & Knowledge Engineering  
Its evaluation is performed through experiments on a number of real-world Hidden Web databases.  ...  Hidden Web databases maintain a collection of specialised documents, which are dynamically generated in response to users' queries.  ...  A major area of current research into Hidden Web databases focuses on the automatic discovery of their information contents, in order to facilitate the process of database selection or categorisation.  ... 
doi:10.1016/j.datak.2006.01.009 fatcat:ftdqsklu6zaglgpkjg2tyc75pq

PROO ontology development for learning feature specific sentiment relationship rules on reviews categorisation: a semantic data mining approach

D. Teja Santosh, B. Vishnu Vardhan
2016 International Journal of Metadata, Semantics and Ontologies  
Left out negative examples are useful in knowing their count at the time of categorisation.  ...  The positively classified features are grouped to justify the goal of ILP for examples which are both complete and consistent.  ...  They are Ontology tools and machine learning topics.  ... 
doi:10.1504/ijmso.2016.078105 fatcat:wiafpm77jnb3bnsklotor2uywm

Automated Metadata Enrichment of Large Speech Radio Archives

Y. Raimond, C. Lowis, R. Hodgson, D. Tinley
2014 SMPTE Motion Imaging Journal  
These tags are then used to help navigation and topic-based search of BBC programmes.  ...  However, given the very large number of programmes available in the archive, most of them having very little metadata attached to them, we need a way of automatically assigning tags to programmes.  ...  We describe in [21] the process of applying this framework to the entire World Service archive, and an application using automatically extracted tags to aid discovery of archive content.  ... 
doi:10.5594/j18370xy fatcat:g5dql24le5c5noeifruiikiyoe

Spam, Opinions, and Other Relationships: Towards a Comprehensive View of the Web Knowledge Discovery [chapter]

Bettina Berendt
2011 Advanced Topics in Information Retrieval  
Web mining" or "Web Knowledge Discovery" is the analysis of Web resources with data-mining techniques such as classification, clustering, association-rule or graph-structure methods.  ...  We illustrate the usefulness of this model in an introduction to Web content/text mining, using the model to structure the activities in this form of Knowledge Discovery.  ...  Acknowledgements I thank my students and colleagues from various Web Mining classes for many valuable discussions and ideas. In particular, I thank the members of the  ... 
doi:10.1007/978-3-642-20946-8_3 fatcat:dzzvsoiizbb3terfovfzojtqbi

Combining text and link analysis for focused crawling—An application for vertical search engines

G. Almpanidis, C. Kotropoulos, I. Pitas
2007 Information Systems  
The number of vertical search engines and portals has rapidly increased over the last years, making the importance of a topic-driven (focused) crawler self-evident.  ...  In this paper, we develop a latent semantic indexing classifier that combines link analysis with text content in order to retrieve and index domain-specific web documents.  ...  Almpanidis was granted a basic research fellowship co-funded by the European Union and the Hellenic Ministry of Education under the framework of the programme ''HERAKLEITOS'' of the Operational programme  ... 
doi:10.1016/j.is.2006.09.004 fatcat:pqcpgeyu4revtavnhmz4ger2ju

Text Mining-Based Semantic Web Architecture (TMSWA) for e-Learning Systems

Hamad Ibrahim Alomran
2014 International Journal of Machine Learning and Computing  
An algorithm will be used to support building a web retrieval system to extract the hidden knowledge for the semantic web by ontologies for e-learning items to classify and find the relationships between  ...  Text mining is used with the proposed model for better processing of unstructured data available in XML and RDF formats.  ...  Therefore, these databases do not offer the possibility of linking the information and the discovery of new knowledge.  ... 
doi:10.7763/ijmlc.2014.v4.433 fatcat:iti3xn5qejdx3k5wcqx7462iw4

Potential for the use of large unstructured data resources by public innovation support institutions

Wiesław Cetera, Włodzimierz Gogołek, Aleksander Żołnierski, Dariusz Jaruga
2022 Journal of Big Data  
AbstractEffective programming of research and development (R&D) support, adjusted to the actual potential of beneficiaries, requires the use of modern analytical tools.  ...  Methods of identifying and diagnosing technology trends are presented within the case study of the electric car technology trend.  ...  Acknowledgements The authors thank the National Center for Research and Development for funding the project and the Faculty of Political Science and International Studies for supporting its implementation  ... 
doi:10.1186/s40537-022-00610-6 fatcat:pvt6qz33bnhpvdy3kwnrhllhjq

Filling the Frame: the Role of Practical Metadata in Online Resources at the IALS

Steven Whittle
2010 Legal Information Management  
inform ongoing work at the Institute of Advanced Legal Studies on digital provision of legal information through specialist legal research tools and web service initiatives.  ...  In this information-intensive world, changes in expectations for the library catalogue from the web search interface (circa 2000) to the portfolio of integrated and overlapped online services made available  ...  , so the explore options link to services like FLAG, the Flare Index to Treaties and other IALS-created web databases like Current Legal Research Topics (CLRT) 41 and Current Awareness for Legal Information  ... 
doi:10.1017/s147266961000071x fatcat:5hmsegnsezekpjxvjjp7brxxju

A systematic review on literature-based discovery workflow

Menasha Thilakaratne, Katrina Falkner, Thushari Atapattu
2019 PeerJ Computer Science  
This systematic review provides a comprehensive overview of the LBD workflow by answering nine research questions related to the major components of the LBD workflow (i.e., input, process, output, and  ...  Literature-Based Discovery (LBD), supporting automated knowledge discovery, helps facilitate this process by eliciting novel knowledge by analysing existing scientific literature.  ...  Their results have proved the suitability of LBD discovery setting in a non-traditional context to elicit hidden links.  ... 
doi:10.7717/peerj-cs.235 pmid:33816888 pmcid:PMC7924697 fatcat:w3gat4llvfarhbjo2gpfgt4smi

Towards Identifying Human Actions, Intent, and Severity of APT Attacks Applying Deception Techniques – An Experiment [article]

Joel Chacon, Sean McKeown, Richard Macfarlane
2020 arXiv   pre-print
The results show that it is possible to differentiate automatic attacks from manual structured attacks; from the nature of the interactions with the honey items.  ...  of severity of the attacks  ...  Signs of automatic Web app scanning and the discovery of the fake login Index.php page is also an early indication as can be seen from the profile of events.  ... 
arXiv:2006.01849v1 fatcat:6ve7wspp6rdyddum42ugfpanju

Towards Identifying Human Actions, Intent, and Severity of APT Attacks Applying Deception Techniques - An Experiment

Joel Chacon, Sean McKeown, Richard Macfarlane
2020 2020 International Conference on Cyber Security and Protection of Digital Services (Cyber Security)  
The results show that it is possible to differentiate automatic attacks from manual structured attacks; from the nature of the interactions with the honey items.  ...  of severity of the attacks  ...  Signs of automatic Web app scanning and the discovery of the fake login Index.php page is also an early indication as can be seen from the profile of events.  ... 
doi:10.1109/cybersecurity49315.2020.9138859 dblp:conf/cybersecpods/ChaconMM20 fatcat:papji7c3efdjda2eyjsk2tjtom

Media Meets Semantic Web – How the BBC Uses DBpedia and Linked Data to Make Connections [chapter]

Georgi Kobilarov, Tom Scott, Yves Raimond, Silver Oliver, Chris Sizemore, Michael Smethurst, Christian Bizer, Robert Lee
2009 Lecture Notes in Computer Science  
We cover the work of BBC Programmes and BBC Music building Linked Data sites for all music and programmes related brands, and we describe existing projects, ongoing development, and further research we  ...  In this paper, we describe how the BBC is working to integrate data and linking documents across BBC domains by using Semantic Web technology, in particular Linked Data, MusicBrainz and DBpedia.  ...  Walpole from the BBC and Christian Becker from Freie Universität Berlin.  ... 
doi:10.1007/978-3-642-02121-3_53 fatcat:6yyashlxrfblhdit4za3f437pm
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