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Application and Evaluation of Inductive Reasoning Methods for the Semantic Web and Software Analysis [chapter]

Christoph Kiefer, Abraham Bernstein
2011 Lecture Notes in Computer Science  
We extend this idea to the Semantic Web by introducing our novel SPARQL-ML approach to perform data mining for Semantic Web data.  ...  A comparison to kernel methods used in Support Vector Machines even shows that our approach is superior in terms of classification accuracy.  ...  To ensure the extensibility of our inductive reasoning approach with other learning methods, the SPARQL Mining Ontology (SMO) is proposed to enable the seamless integration of additional machine learning  ... 
doi:10.1007/978-3-642-23032-5_10 fatcat:f6bkg5r26rdd5csgmngiyvd24i

A Roadmap for Web Mining: From Web to Semantic Web [chapter]

Bettina Berendt, Andreas Hotho, Dunja Mladenic, Maarten van Someren, Myra Spiliopoulou, Gerd Stumme
2004 Lecture Notes in Computer Science  
As for descriptive concepts, a Web Mining approach can be applied to this problem.  ...  An illustration of this approach is shown in [63] .  ... 
doi:10.1007/978-3-540-30123-3_1 fatcat:tb4oxi6dkbgypeoephofr2ewmi

Instance-based retrieval by analogy

Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
2007 Proceedings of the 2007 ACM symposium on Applied computing - SAC '07  
The procedure implements the disjunctive version space approach exploiting a notion of semantic difference.  ...  The method can be employed both to answer to class-membership queries, even though the answers are not logically entailed by the knowledge base, e.g. there are some inconsistent assertions due to heterogeneous  ...  the semantic web services discovery tasks.  ... 
doi:10.1145/1244002.1244303 dblp:conf/sac/FanizzidE07 fatcat:6di2prexzvgsxnurctheyibriq

Analogical Reasoning in Description Logics [chapter]

Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
2008 Lecture Notes in Computer Science  
The procedure, which exploits a relational dissimilarity measure based on the notion of Information Content, can be employed both to answer to class-membership queries and to predict assertions, that may  ...  These tasks may be the baseline for other inductive methods for ontology construction and evolution. In a preliminary experimentation, we show that the method is sound.  ...  It is considered a lazy approach to learning, since the learning phase is reduced to memorizing instances of the target concepts pre-classified by an expert.  ... 
doi:10.1007/978-3-540-89765-1_19 fatcat:oe2woeugbvf5zbalaiv64ucszq

Semantic Web in data mining and knowledge discovery: A comprehensive survey

Petar Ristoski, Heiko Paulheim
2016 Journal of Web Semantics  
The survey shows that, while there are numerous interesting research works performed, the full potential of the Semantic Web and Linked Open Data for data mining and KDD is still to be unlocked.  ...  Therefore, many approaches have been proposed in this area that combine Semantic Web data with the data mining and knowledge discovery process.  ...  Acknowledgment The work presented in this paper has been partly funded by the German Research Foundation (DFG) under grant number PA 2373/1-1 (Mine@LOD).  ... 
doi:10.1016/j.websem.2016.01.001 fatcat:yz26fm667jbtbgzmdvd4hswopi

Semantic Web in Data Mining and Knowledge Discovery: A Comprehensive Survey

Petar Ristoski, Heiko Paulheim
2016 Social Science Research Network  
The survey shows that, while there are numerous interesting research works performed, the full potential of the Semantic Web and Linked Open Data for data mining and KDD is still to be unlocked.  ...  Therefore, many approaches have been proposed in this area that combine Semantic Web data with the data mining and knowledge discovery process.  ...  Acknowledgment The work presented in this paper has been partly funded by the German Research Foundation (DFG) under grant number PA 2373/1-1 (Mine@LOD).  ... 
doi:10.2139/ssrn.3199217 fatcat:flyrsd5wonfqhbxbqmyfb7u25e

Knowledge graph refinement: A survey of approaches and evaluation methods

Heiko Paulheim, Philipp Cimiano
2016 Semantic Web Journal  
In order to further increase the utility of such knowledge graphs, various refinement methods have been proposed, which try to infer and add missing knowledge to the graph, or identify erroneous pieces  ...  In this article, we provide a survey of such knowledge graph refinement approaches, with a dual look at both the methods being proposed as well as the evaluation methodologies used.  ...  In [48] , an approach similar to association rule mining is used to find meaningful chains of relations for relation prediction.  ... 
doi:10.3233/sw-160218 fatcat:uiicnh2nbnev5j4ixum23hzila

Article - Semantic-based Process Mining Technique for Annotation and Modelling of Domain Processes - Okoye et al, 2020.pdf

Kingsley Okoye
2021 figshare.com  
linking them to an ontology in order to allow for a more abstract analysis of the extracted logs or models.  ...  the process mining and analysis from the syntactic to a more conceptual level.  ...  The authors would like to acknowledge the technical and financial support of Writing Lab, TecLabs, Tecnologico de Monterrey, in the publication of this work.  ... 
doi:10.6084/m9.figshare.13515281.v1 fatcat:u7jf56i6pzgp7dfmu6yuztn6jm

An Approach to Description Logic with Support for Propositional Attitudes and Belief Fusion [chapter]

Matthias Nickles, Ruth Cobos
2008 Lecture Notes in Computer Science  
of R+D, project no.  ...  Acknowledgements: This work was partially funded by the German National Research Foundation DFG (Br609/13-1, research project "Open Ontologies and Open Knowledge Bases") and by the Spanish National Plan  ...  ,an , a) is part of an SOC-OWL ontology o, no axiom/fact ( publicBelief s1,...,sn−→a1,...,an , b), b a, is part of o (analogously for assertions).  ... 
doi:10.1007/978-3-540-89765-1_8 fatcat:yn53ph5tbvcv3nntngkwg7oe6q

Semantic Web Mining. State of the Art and Future Directions

Gerd Stumme, Andreas Hotho, Bettina Berendt
2006 Social Science Research Network  
Given the enormous size even of today's Web, it is impossible to manually enrich all of these resources.  ...  We argue that the two areas Web Mining and Semantic Web need each other to fulfill their goals, but that the full potential of this convergence is not yet realized.  ...  An important group of techniques which can easily be adapted to Semantic Web content/structure mining are the approaches discussed as (Multi-)Relational Data Mining (formerly called Inductive Logic Programming  ... 
doi:10.2139/ssrn.3199332 fatcat:k4byg7k2efe3nla67b6f6ci22m

Strategic Health Information Management and Forecast: The Birdwatching Approach [chapter]

Arash Shaban-Nejad, Volker Haarslev
2010 Lecture Notes in Computer Science  
Despite the importance of this topic, the problem of managing evolving ontological structures is inadequately addressed by available tools and algorithms, partly because handling ontological change is  ...  To facilitate communication and the exchange of information between patients, nurses, lab technicians, health insurers, physicians, policy makers, and existing knowledge-based systems, a set of shared  ...  as an example of techniques for mining dynamic patterns).  ... 
doi:10.1007/978-3-642-16696-9_49 fatcat:cpfimy5pebdzpe4xp3rbcqba5e

Knowledge-based Biomedical Data Science 2019 [article]

Tiffany J. Callahan, Ignacio J. Tripodi Computational Bioscience Program, Department of Pharmacology, University of Colorado Denver Anschutz Medical Campus
2019 arXiv   pre-print
Major themes include the relationships between knowledge graphs and machine learning, the use of natural language processing, and the expansion of knowledge-based approaches to novel domains, such as Chinese  ...  Here we survey the progress in the last year in systems that use formally represented knowledge to address data science problems in both clinical and biological domains, as well as on approaches for creating  ...  SUPPLEMENTAL MATERIAL The full versions of Tables 1-3 are submitted as Supplemental Tables 1-3.  ... 
arXiv:1910.06710v1 fatcat:kvz5k643zvhpdiq67blc2v33wi

Cognitive Approaches for the Semantic Web (Dagstuhl Seminar 12221)

Dedre Gentner, Frank Van Harmelen, Pascal Hitzler, Krzysztof Janowicz, Kai-Uwe Kühnberger, Marc Herbstritt
2012 Dagstuhl Reports  
This involves work on ontology modularization and context-awareness, but also approaches from ecological psychology such as affordance theory which also plays an increasing role in robotics and AI.  ...  A major focus in the design of Semantic Web ontology languages used to be on finding a suitable balance between the expressivity of the language and the tractability of reasoning services defined over  ...  Sheth, "An Ontological Approach to Focusing Attention and Enhancing Machine Perception on the Web," Applied Ontology, vol. 6(4), pp.345-376, 2011.  ... 
doi:10.4230/dagrep.2.5.93 dblp:journals/dagstuhl-reports/GentnerHHJK12 fatcat:xbh6owcklvcgplcllplbbgvuhe

Ontology-Based Meta-Mining of Knowledge Discovery Workflows [chapter]

Melanie Hilario, Phong Nguyen, Huyen Do, Adam Woznica, Alexandros Kalousis
2011 Studies in Computational Intelligence  
Third, to ground meta-mining on a declarative representation of the data mining (dm) process and its components, we built a DM ontology and knowledge base using the Web Ontology Language (owl).  ...  In Section 2, we review the state of the art in the fields of meta-learning and data mining ontologies; at the same time, we motivate the need for ontology-based meta-mining and distinguish our approach  ...  a rudimentary ontology of learning tasks and algorithms to support the automatic composition and revision of inductive processes.  ... 
doi:10.1007/978-3-642-20980-2_9 fatcat:lhhpaisl5jhwjkqc5xdtpwskci

Machine learning in the Internet of things: A semantic-enhanced approach

Michele Ruta, Floriano Scioscia, Giuseppe Loseto, Agnese Pinto, Eugenio Di Sciascio, Maria Maleshkova, Ruben Verborgh
2018 Semantic Web Journal  
It merges an ontology-based characterization of data distributions with non-standard reasoning for a fine-grained event detection.  ...  A case study on road and traffic analysis has allowed to validate the proposal and achieve an assessment with respect to state-of-the-art ML algorithms.  ...  This paper proposes an approach aiming to combine the benefits of Semantic Web technologies with state-of-the-art learning effectiveness, particularly for IoT data stream mining.  ... 
doi:10.3233/sw-180314 fatcat:ey4nc5kkarbl7l5dl6bn6kydxe
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