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Towards a vocabulary for data quality management in semantic web architectures

Christian Fürber, Martin Hepp
2011 Proceedings of the 1st International Workshop on Linked Web Data Management - LWDM '11  
The use of a generic conceptual model based on Semantic Web formalisms supports the definition of reusable, broadly applicable SPARQL queries and portable applications for data quality management (DQM)  ...  Reliable decision-making and reliable information based on Semantic Web data requires methodologies and techniques for managing the quality of the published data.  ...  Semantic Accuracy: Semantic accuracy is the degree to which the data values of an instance represent the correct state of an entity's property.  ... 
doi:10.1145/1966901.1966903 dblp:conf/edbt/FurberH11 fatcat:i2vdnusfardnbjjwut5mrz7rua

Web Reviews and Events Matching Based on Event Feature Segments and Semi-Markov Conditional Random Fields

Yuanzi Xu, Qingzhong Li, Zhongmin Yan, Wei Wang
2014 Journal of Software  
We use several feature rules to recognize the variants of named entities, such as abbreviation and acronym. In addition, we use phrase dependency parsing tree to recognize verb phrases.  ...  To establish links between a large number of reviews and events, we propose a web reviews and events matching approach by event feature segments and semi-Markov conditional random fields (CRFs).  ...  We can detect the dependency relation of verbs and verb phrases and identify them by using the dependency parsing tree.  ... 
doi:10.4304/jsw.9.9.2401-2408 fatcat:f462kj2qovgvhhy2hdsgczueyu

Supporting location-based conditions in access control policies

Claudio A. Ardagna, Marco Cremonini, Ernesto Damiani, Sabrina De Capitani di Vimercati, Pierangela Samarati
2006 Proceedings of the 2006 ACM Symposium on Information, computer and communications security - ASIACCS '06  
Our LBAC model includes a novel way of taking into account the limitations of the technology used to ascertain the location of the requester.  ...  In this paper, we present an approach to LBAC aimed at integrating location-based conditions along with a generic access control model, so that a requestor can be granted or denied access by checking her  ...  While confidence is associated with measurement accuracy, which in turn depends on the technology used for localizing the requester, the quality of the Location Service and so forth, the form of this dependency  ... 
doi:10.1145/1128817.1128850 dblp:conf/ccs/ArdagnaCDVS06 fatcat:75s3aeimcra7tkkwy73psvdtdq

Constructing Service Semantic Link Network Based on the Probabilistic Graphical Model

Anping Zhao, Yan Ma
2012 International Journal of Computational Intelligence Systems  
Service Semantic Link Network (S-SLN) is the semantic model for effectively managing Web service resources by the dependency relationship between services.  ...  We provided an effective method for constructing S-SLN based on the graphical structure representation of the dependencies embedded in a probabilistic model.  ...  Acknowledgements This work was partially supported by the Doctoral Research Fund of Chongqing Normal University (No.11XWB021) and the Humanity and Social Science Foundation for Youth Scholars of Ministry  ... 
doi:10.1080/18756891.2012.747660 fatcat:gjdsklerkvfwzmjtvx4hbeiwwa

A Framework for Employee Appraisals Based on Inductive Logic Programming and Data Mining Methods [chapter]

Darah Aqel, Sunil Vadera
2013 Lecture Notes in Computer Science  
The annotations extracted by GATE identify some significant linguistic patterns which can then be used by the applied machine learning method for learning the grammar rules for SMART objectives in order  ...  Survey of relevant AI methods which can be used to learn the required rules for writing SMART objectives and to assess these objectives. 6 .  ...  Appendix A A1 The Grammar Rules Learned by ALEPH from the First Corpus The following presents the grammar rules for SMART objectives learned by ALEPH from the corpus of objectives related to the sales  ... 
doi:10.1007/978-3-642-38824-8_49 fatcat:3bcsstk5tnhobijhl2gmpdi2jy

Supporting Computer-interpretable Guidelines' Modeling by Automatically Classifying Clinical Actions [chapter]

Anne-Lyse Minard, Katharina Kaiser
2013 Lecture Notes in Computer Science  
We use syntactic and semantic features, such as the Semantic Types of the UMLS to classify the activities.  ...  Furthermore, we extend our methods by using 2-step classification and combining machine learning and rule-based approaches.  ...  TRP71-N23 funded by the Austrian Science Fund (FWF) and of the MobiGuide project partially funded by the European Commission under the 7th Framework Program, grant #287811.  ... 
doi:10.1007/978-3-319-03916-9_4 fatcat:3x24dt4wn5ayrbuff3wcbsq2cu

Situation-Aware Mobile Service Recommendation with Fuzzy Logic and Semantic Web

Alessandro Ciaramella, Mario G.C.A. Cimino, Beatrice Lazzerini, Francesco Marcelloni
2009 2009 Ninth International Conference on Intelligent Systems Design and Applications  
In the recommender, a semantic layer determines one or more user current situations by using domain knowledge expressed in terms of ontology and semantic rules.  ...  A fuzzy inference layer manages the vagueness of some contextual condition of these rules and outputs an uncertainty degree for each situation.  ...  ACKNOWLEDGEMENTS The presented work was supported by the MOVAS Lab, a joint project at the University of Pisa between academy and industry.  ... 
doi:10.1109/isda.2009.242 dblp:conf/isda/CiaramellaCLM09 fatcat:fzcox46wojcxpesu45ykk4ytau

Knowledge-Based Construction of Confusion Matrices for Multi-Label Classification Algorithms using Semantic Similarity Measures [article]

Houcemeddine Turki, Mohamed Ali Hadj Taieb, Mohamed Ben Aouicha
2021 arXiv   pre-print
So far, multi-label classification algorithms have been evaluated using statistical methods that do not consider the semantics of the considered classes and that fully depend on abstract computations such  ...  Currently, there are several attempts to develop ontology-based methods for a better assessment of supervised classification algorithms.  ...  The eliminated association should be substituted by the second sorted association according to the rules used for its recognition (Rules 1, 2 and 3). Fig. 2.  ... 
arXiv:2011.00109v2 fatcat:sktwept7wfgtvbrtn7uzaaqp3i

Weakly Supervised Sequence Tagging from Noisy Rules

Esteban Safranchik, Shiying Luo, Stephen Bach
We propose a framework for training sequence tagging models with weak supervision consisting of multiple heuristic rules of unknown accuracy.  ...  To estimate the accuracies of the rules and combine their conflicting outputs into training data, we introduce a new type of generative model, linked hidden Markov models (linked HMMs), and prove they  ...  Acknowledgements We thank Xufan Zhang for helpful discussions on identifiability in Bayesian networks.  ... 
doi:10.1609/aaai.v34i04.6009 fatcat:xxrrl2xnrrgtddlfihp6hce4ra

Translation correction of English phrases based on optimized GLR algorithm

Xi Wang
2021 Journal of Intelligent Systems  
The analyzer approves the structure of the analysis table with a variety of export products, introduces the character mapping function to realize the automatic recognition of the sentence boundary, uses  ...  In the process of developing the Mat Link English–Chinese machine translation system, the Generalized Maximum Likelihood Ratio algorithm was improved, and a basic English syntax analyzer for English–Chinese  ...  It was used for the translation correction of English phrases, and its usability was evaluated by the method of experimental evaluation.  ... 
doi:10.1515/jisys-2020-0132 fatcat:nsltu4jr7zaztdfqg4dyr4anru

OntoDiabetic: An Ontology-Based Clinical Decision Support System for Diabetic Patients

P. C. Sherimon, Reshmy Krishnan
2015 The Arabian Journal for Science and Engineering  
This paper focuses on the modeling and implementation of clinical guidelines using OWL2 rules and the reasoning process of the OntoDiabetic system.  ...  Ontology can be reasoned to recommend the suitable treatment for a patient by considering the current medical status of the patient.  ...  The accuracy of the outputs identifies the efficiency of the system.  ... 
doi:10.1007/s13369-015-1959-4 fatcat:636jrnm7gnfmfd43rkhbs5v27u

Assigning factuality values to semantic relations extracted from biomedical research literature

Halil Kilicoglu, Graciela Rosemblat, Thomas C. Rindflesch, Vladimir Brusic
2017 PLoS ONE  
In this study, we investigated the feasibility of assessing the factuality level of SemRep predications to provide more nuanced distinctions between predications for downstream applications.  ...  We will also incorporate the results of the better performing compositional approach into SemMedDB, a PubMed-scale repository of semantic predications extracted using SemRep.  ...  Acknowledgments The authors thank Dongwook Shin for his assistance with brat annotation tool. This work was supported by the intramural research program at the U.S.  ... 
doi:10.1371/journal.pone.0179926 pmid:28678823 pmcid:PMC5497973 fatcat:l52u6i65wrfppohrobres44dqi

A Text Categorization Algorithm Based on Sense Group

Jing Wan, Huiming Luo, Junkai Yi, Yubin Zhou
2013 Research Journal of Applied Sciences Engineering and Technology  
The algorithm extracts sense group by analyzing syntactic and semantic properties of Chinese texts and builds the category sense group library. SVM is used for the experiment of text categorization.  ...  The experimental results show that the precision and recall of the new algorithm based on sense group is better than that of traditional algorithms.  ...  Semantic hierarchy analysis uses statistical semantic analyzer to identify semantic dependency in Chinese sentences (Li et al., 2004) .  ... 
doi:10.19026/rjaset.5.4901 fatcat:klfrl4dz65dcnoub76rrmplntq

Opinion Objects Identification and Sentiment Analysis

Ouyang Chunping, Liu Yongbin, Zhang Shuqing, Yang Xiaohua
2015 International Journal of Database Theory and Application  
Experimental results using short comments of movies show the effectiveness of our approach.  ...  Most sentiment analysis of reviews focused on extracting overall evaluation for a single product which makes difficult for a customer to know all the features of product and make a decision.  ...  At last, command "%crf_test -m model_file test_file >>result.txt" is running, and then the accuracy of model is achieved by assessing the file "result.txt".  ... 
doi:10.14257/ijdta.2015.8.6.01 fatcat:6ywhrxfvkvbatb4rbt3uwiz2zi

Syntactic parsing of medical reports using evolutionary optimization

Paul S Cho, Ricky K Taira, Hooshang Kangarloo
2005 AMIA Annual Symposium Proceedings  
We report on a syntactic parser for medical reports which uses a genetic algorithm to efficiently identify the highest ranking parse configuration based on a scoring scheme developed as part of our prior  ...  The approach was tested on a set of 250 sentences from the domain of radiology. Performance time and comparison to exhaustive methods are given.  ...  The search for a global minimum configuration begins by first assessing the possible link destinations for each word based on semantic selectional constraints.  ... 
pmid:16779207 pmcid:PMC1560622 fatcat:l7yd3xv5kvd2hp2vteetawiw2m
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