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MOOGLE: a metamodel-based model search engine

Daniel Lucrédio, Renata P. de M. Fortes, Jon Whittle
2010 Journal of Software and Systems Modeling  
As a consequence, the number of models being used is increasing, and so is the need for efficient mechanisms to search them.  ...  The paper also presents the results of an evaluation of Moogle, which showed that the metamodel information improves the accuracy of the search. Communicated by Prof. Krzysztof Czarnecki.  ...  Acknowledgments The authors would like to thank the institutions that support this project and the reviewers of this manuscript, who provided valuable comments and suggestions.  ... 
doi:10.1007/s10270-010-0167-7 fatcat:ykxuvklmivboxdosmqminkz27q

Machine Reading at Scale: A Search Engine for Scientific and Academic Research

Norberto Sousa, Nuno Oliveira, Isabel Praça
2022 Systems  
by means of advanced algorithms.  ...  As the advent of transformer-based language models contributed to a more comprehensive analysis of both text-encoded intents and true document semantic meaning, there is simultaneously a need for additional  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/systems10020043 fatcat:z6pmelshpbfuvdsxe3m6xrejli

Image retrieval

Ritendra Datta, Dhiraj Joshi, Jia Li, James Z. Wang
2008 ACM Computing Surveys  
We also discuss significant challenges involved in the adaptation of existing image retrieval techniques to build systems that can be useful in the real-world.  ...  In retrospect of what has been achieved so far, we also conjecture what the future may hold for image retrieval research.  ...  The similarity measure is further extended to handle compound queries using fuzzy logic.  ... 
doi:10.1145/1348246.1348248 fatcat:5jbcrsxkkbac5cya3zb7eb22ea

Automatic document-level semantic metadata annotation using folksonomies and domain ontologies

Hend S. Al-Khalifa, Jessica Rubart
2008 ACM SIGWEB Newsletter  
The tool was applied to a case study consisting of a framework for evaluating the usefulness of the generated semantic metadata within the context of a particular eLearning application.  ...  The tool comprises two components: the tags normalisation process and the semantic annotation process. The tool uses the social bookmarking service as a source for folksonomy tags.  ...  both relevant and semantically related to the query are retrieved.  ... 
doi:10.1145/1408940.1408944 fatcat:hgidhenczvbldmqhcptooyspvu

Information fusion in taxonomic descriptions

Qin Wei
2013 Proceedings of the 2013 international workshop on Mining unstructured big data using natural language processing - UnstructureNLP '13  
By using the sample descriptions from Flora of North America and Flora of China, we demonstrate that the method gain promising fusion result based on Cross-Description Relationships.  ...  By using the sample dataset from Flora of North America (FNA) and Flora of China (FOC), we found that about 50% information could only be found in single source and another 25% complementary information  ...  Ø Semantic: The meaning of a word in a taxonomic description is related to where the word is found or the context of the words associated with it.  ... 
doi:10.1145/2513549.2513552 dblp:conf/cikm/Wei13 fatcat:cfrywgi2y5awlgtsmm6nod6l7y

Why Standardization Efforts Fail

Carl F. Cargill
2011 Journal of Electronic Publishing  
This year's conference continues the tradition of hosting quality speakers and panellists on a wide range of topics related to technology for translators and terminologists, as well as for interpreters  ...  We are delighted to present our keynote speakers: Dieter Rummel and Henry Liu, representing respectively the by far largest and most complex translation service, The Directorate-General for Translation  ...  Huaqing Hong at Nanyang Technological University (Singapore) for sharing with me some of the tools used in this research.  ... 
doi:10.3998/3336451.0014.103 fatcat:dmw2l6nx5vaola6zjohsfggg7m

Pretrained Transformers for Text Ranking: BERT and Beyond

Andrew Yates, Rodrigo Nogueira, Jimmy Lin
2021 Proceedings of the 14th ACM International Conference on Web Search and Data Mining  
The goal of text ranking is to generate an ordered list of texts retrieved from a corpus in response to a query for a particular task.  ...  This survey provides an overview of text ranking with neural network architectures known as transformers, of which BERT is the best-known example.  ...  Acknowledgements 129 Acknowledgements This research was supported in part by the Canada First Research Excellence Fund and the Natural Sciences and Engineering Research Council (NSERC) of Canada.  ... 
doi:10.1145/3437963.3441667 fatcat:6teqmlndtrgfvk5mneq5l7ecvq

Trust-based recommendation systems in Internet of Things: a systematic literature review

Venus Mohammadi, Amir Masoud Rahmani, Aso Mohammed Darwesh, Amir Sahafi
2019 Human-Centric Computing and Information Sciences  
Introduction During the past decades, in the era of wireless communications and embedded system, the concept of the Internet of Things (IoT) was first presented by Kevin Ashton in the year 1999 [1].  ...  More recently, technological evolution is introduced by intelligent sensor devices installed in the physical and virtual realm of IoT to act as or on behalf of human beings: the virtual robots [2] .  ...  Besides, authors developed the C-FOAM matching strategy with levels of string matching levels algorithm, a simple lexical matching algorithm using WordNet, and a graphical or conceptual matching called  ... 
doi:10.1186/s13673-019-0183-8 fatcat:ckozm3ixungbvpc37agoxc5arm

Pretrained Transformers for Text Ranking: BERT and Beyond [article]

Jimmy Lin, Rodrigo Nogueira, Andrew Yates
2021 arXiv   pre-print
The goal of text ranking is to generate an ordered list of texts retrieved from a corpus in response to a query.  ...  There are two themes that pervade our survey: techniques for handling long documents, beyond typical sentence-by-sentence processing in NLP, and techniques for addressing the tradeoff between effectiveness  ...  In addition, we would like to thank the TPU Research Cloud for resources used to obtain new results in this work.  ... 
arXiv:2010.06467v3 fatcat:obla6reejzemvlqhvgvj77fgoy

Fake BTS Attacks of GSM System on Software Radio Platform

Yubo Song, Kan Zhou, Xi Chen
2012 Journal of Networks  
In the fourth paper, "A Statistical Amalgamation Approach for Ontologies" by Peng Liu et al., put forward another way of ontology merging.  ...  The first paper, "Extensive Design for Attack's Recognition and Resistance of Survivable Network" by Hui Xu and Xiang Gu, gives a solution of attack defense of survivable network based on extentics.  ...  Before the start of FSA-MDSM algorithm, the semantic dictionary provided by WordNet is used to process every vector elements in A r last time, and exclude repeat semantic vectors produced by the matrix  ... 
doi:10.4304/jnw.7.2.275-281 fatcat:3ejjimllcvewjeifopbvhl3zmi

Test-Driven Reuse: Improving the Selection of Semantically Relevant Code [article]

Mehrdad Nurolahzade, University Of Calgary, University Of Calgary, Frank Maurer, Robert J. Walker
However, semantic similarity neither implies nor is implied by syntactic or structural similarity.  ...  Therefore, the thesis of this dissertation is that by modelling tests—in addition to function interfaces—the odds of finding semantically relevant source code is improved.  ...  a better means of capturing their semantics.  ... 
doi:10.11575/prism/28000 fatcat:zegygmb45venxhcwpol3fvpsq4

Possibly imperfect ontologies for effective information retrieval

Gábor Nagypál
Resource Searcher: Executes the semantic query, combining the results of the metadata and content queries.  ...  I also described how to enhance the content query by exploiting the lexical layer of the ontology and the temporal part of the semantic query.  ... 
doi:10.5445/ksp/1000007206 fatcat:ytdvvlwburfq3bafbzzj25ka6e

Functional Representation of Prototypes in LVQ and Relevance Learning [chapter]

Friedrich Melchert, Udo Seiffert, Michael Biehl
2016 Advances in Intelligent Systems and Computing  
We received 93 submissions, consisting of 24 regular papers, 47 short papers, 11 demonstration abstracts and 11 thesis abstracts.  ...  The overall acceptance rate was 88% (63% for regular papers, 100% for compressed contributions and demonstration abstracts, and 91% for thesis abstracts).  ...  Acknowledgements The Tesla K40 used for this research was donated by the NVIDIA Corporation. The thesis was supervised by Frans A. Oliehoek.  ... 
doi:10.1007/978-3-319-28518-4_28 fatcat:uwxvq6txmrba3ajulmblafgh2a

Searching Community-built Semantic Web Resources to Support Personal Media Annotation

Annett Mitschick, Ronny Winkler, Klaus Meißner
This paper addresses conceptual and technical issues of Web search within community-built Semantic Web content to retrieve useful information for personal media annotation.  ...  As ontology-based description of documents and facts enables exchange and reuse of metadata among communities and across applications, the annotation of personal media collections using Semantic Web technologies  ...  Acknowledgements We thank M. d'Aquin for his useful comments on earlier versions of this paper.  ... 

A framework for managing information from heterogeneous, distributed, and autonomous sources in the architecture, engineering, construction, and facilities management domain

Branka Kosovac
The proposed framework identifies three basic types of assertions: senses, relationships, and information, and their two properties: category and scope, as a set of basic elements that can be used to relate  ...  analyzed within the semiotic framework, in order to identify shared simple elements that can be used to relate them.  ...  They provide sets of synonyms organized by semantic rather than lexical similarity.  ... 
doi:10.14288/1.0063270 fatcat:beb45cqa5rdbpce5kbys6bfe7q
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