Knowledge Engineering and Semantic Web

Considering multiple viewpoints is often required when building ontologies for decision-making support systems. The notion of subjective context is useful for designing such a systems. We review the evolution of the subjectivity representation in the knowledge engineering, then choose an appropriate definition of the context for our application. This allows formulating the functional requirements for a multi-viewpoint decision-making support system and choosing the technical way of context representation. We propose a method of ontological representation of multiple viewpoints using named graphs as a response to these requirements. Decision-making support in the socio-economic realms is an especially valuable application for multi-viewpoint ontologies. We consider a demonstration use case, including software implementation. The inference rules may be used in such applications both for making conclusions within every particular context, or transferring knowledge between them. We present a set of sample rules for our demonstration use case and discuss the results achieved.

[1]  Ian H. Witten,et al.  Human-competitive tagging using automatic keyphrase extraction , 2009, EMNLP.

[2]  Myriam Arrue,et al.  User individuality management in websites based on WAI-ARIA annotations and ontologies , 2013, W4A.

[3]  Alessandro Moschitti,et al.  On the Automatic Learning of Sentiment Lexicons , 2015, NAACL.

[4]  Vladimir Ivanov,et al.  Dictionary-Based Problem Phrase Extraction from User Reviews , 2014, TSD.

[5]  Walid Maalej,et al.  Bug report, feature request, or simply praise? On automatically classifying app reviews , 2015, 2015 IEEE 23rd International Requirements Engineering Conference (RE).

[6]  Zhiyuan Liu,et al.  Automatic Keyphrase Extraction via Topic Decomposition , 2010, EMNLP.

[7]  Yeliz Yesilada,et al.  Web Authoring for Accessibility (WAfA) , 2007, J. Web Semant..

[8]  Samaneh Moghaddam,et al.  Beyond Sentiment Analysis: Mining Defects and Improvements from Customer Feedback , 2015, ECIR.

[9]  Shawn Lawton Henry,et al.  The role of accessibility in a universal web , 2014, W4A.

[10]  A. Kavcic.  Software Accessibility: Recommendations and Guidelines , 2005, EUROCON 2005 - The International Conference on "Computer as a Tool".

[11]  Pier Luigi Emiliani,et al.  A Classification, Based on ICF, for Modelling Human Computer Interaction , 2006, ICCHP.

[12]  Dimitrios Tzovaras,et al.  An Ontology-Based Framework for Web Service Integration and Delivery to Mobility Impaired Users , 2010, WSKS.

[13]  Michael L. Littman,et al.  Measuring praise and criticism: Inference of semantic orientation from association , 2003, TOIS.

[14]  Gábor Berend,et al.  Keyphrase-Driven Document Visualization Tool , 2013, IJCNLP.

[15]  A. Tjoa,et al.  Connecting User Interfaces and User Impairments for Semantically Optimized Information Flow in Hospital Information Systems , 2008 .

[16]  Stefan Evert,et al.  KLUE: Simple and robust methods for polarity classification , 2013, *SEMEVAL.

[17]  Daniel Jurafsky,et al.  Distant supervision for relation extraction without labeled data , 2009, ACL.

[18]  Marco Winckler,et al.  Towards an Ontology-Based Approach for Dealing with Web Guidelines , 2008, WISE Workshops.

[19]  Dimitrios Tzovaras,et al.  A Harmonised Methodology towards Measuring Accessibility , 2009, HCI.

[20]  Zeljko Obrenovic,et al.  Vocabularies for description of accessibility issues in multimodal user interfaces , 2007 .

[21]  David Lo,et al.  What does software engineering community microblog about? , 2012, 2012 9th IEEE Working Conference on Mining Software Repositories (MSR).

[22]  Claire Cardie,et al.  Multi-aspect Sentiment Analysis with Topic Models , 2011, 2011 IEEE 11th International Conference on Data Mining Workshops.

[23]  K.R. Masuwa-Morgan.  Introducing AccessOnto: Ontology for Accessibility Requirements Specification , 2008, 2008 First International Workshop on Ontologies in Interactive Systems.

[24]  David Lo,et al.  An Empirical Study of Bugs in Machine Learning Systems , 2012, 2012 IEEE 23rd International Symposium on Software Reliability Engineering.

[25]  Jakub Piskorski,et al.  Information Extraction: Past, Present and Future , 2013, Multi-source, Multilingual Information Extraction and Summarization.

[26]  Andrew McCallum,et al.  Modeling Relations and Their Mentions without Labeled Text , 2010, ECML/PKDD.

[27]  Gordon W. Paynter,et al.  Topic-based browsing within a digital library using keyphrases , 1999, DL '99.

[28]  Aditi Sharan,et al.  Keyword and Keyphrase Extraction Techniques: A Literature Review , 2015 .

[29]  Zhiyuan Liu,et al.  Clustering to Find Exemplar Terms for Keyphrase Extraction , 2009, EMNLP.

[30]  Idoia Cearreta,et al.  Toward Adapting Interactions by Considering User Emotions and Capabilities , 2011, HCI.

[31]  Osma Suominen,et al.  Assessing and Improving the Quality of SKOS Vocabularies , 2014, Journal on Data Semantics.

[32]  Diane Nelson Bryen,et al.  Web accessibility design recommendations for people with cognitive disabilities , 2008 .

[33]  Hoifung Poon,et al.  Distant Supervision for Cancer Pathway Extraction from Text , 2014, Pacific Symposium on Biocomputing.

[34]  Mike Brayshaw,et al.  Ontology-Driven Disability-Aware E-Learning Personalisation with ONTODAPS , 2012 .

[35]  Nathanael Chambers,et al.  Learning for Microblogs with Distant Supervision: Political Forecasting with Twitter , 2012, EACL.

[36]  Alice H. Oh,et al.  Aspect and sentiment unification model for online review analysis , 2011, WSDM '11.

[37]  Myriam Arrue,et al.  Automatic Generation of Tailored Accessible User Interfaces for Ubiquitous Services , 2015, IEEE Transactions on Human-Machine Systems.

[38]  Vaibhavi N Patodkar,et al.  Twitter as a Corpus for Sentiment Analysis and Opinion Mining , 2016 .

[39]  Murilo Bastos da Cunha.  Das bibliotecas convencionais às digitais : diferenças e convergências , 2008 .

[40]  Rada Mihalcea,et al.  TextRank: Bringing Order into Text , 2004, EMNLP.

[41]  Vincent Ng,et al.  Automatic Keyphrase Extraction: A Survey of the State of the Art , 2014, ACL.

[42]  Sanda Martinčić-Ipšić,et al.  An Overview of Graph-Based Keyword Extraction Methods and Approaches , 2015 .

[43]  Xiaojun Wan,et al.  Single Document Keyphrase Extraction Using Neighborhood Knowledge , 2008, AAAI.

[44]  C. Maria Keet,et al.  Enhancing Web Portals with Ontology-Based Data Access: The Case Study of South Africa's Accessibility Portal for People with Disabilities , 2008, OWLED.

[45]  Sebastian Ryszard Kruk,et al.  Semantic Digital Libraries , 2009, Semantic Digital Libraries.

[46]  Xiaocheng Huang,et al.  Enabling Public Access to Non-Open Access Biomedical Literature via Idea-Expression Dichotomy and Fact Extraction , 2016, AAAI Workshop: Scholarly Big Data.