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Unsupervised matching of object models and ontologies using canonical vocabulary

Matthias Quasthoff, Max Völkel, Christoph Meinel
2010 Proceedings of the 6th International Conference on Semantic Systems - I-SEMANTICS '10  
To achieve this separation, we introduce a canonical vocabulary for object models. As a result, the Semantic Web expertise required to develop RDF-enabled applications is reduced.  ...  This paper presents a new method for publishing and consuming RDF data using object-oriented programming.  ...  We applied the schema matching algorithm described in the previous section to the individual object models and the union of the Friend of a Friend (FOAF) ontology and DCMI Metadata Terms 5 .  ... 
doi:10.1145/1839707.1839716 dblp:conf/i-semantics/QuasthoffVM10 fatcat:mx3ai4fod5dyfh6qvtzdup5iqi

Data Linking for the Semantic Web

Alfio Ferrara, Andriy Nikolov, François Scharffe
2011 International Journal on Semantic Web and Information Systems (IJSWIS)  
Matching. In the instance matching step, the object description comparison is executed according to the metrics chosen in the configuration step.  ...  resources or ontologies (e.g., WordNet, SKOS, OpenCyC).  ...  ., 2008) is an unsupervised instance matching system. It uses two approaches: one logical (L2R) and one numerical (N2R). L2R exploits the axioms of the ontologies describing instances.  ... 
doi:10.4018/jswis.2011070103 fatcat:7jhgsihws5d5dflmdulwz36jwi

Author Name Disambiguation in Bibliographic Databases: A Survey [article]

Muhammad Shoaib, Ali Daud, Tehmina Amjad
2020 arXiv   pre-print
These steps are; (1) Preparation of dataset (2) Selection of publication attributes (3) Selection of similarity metrics (4) Selection of models and (5) Clustering Performance evaluation.  ...  Categorization and elaboration of similarity metrics and methods are also provided. Finally, future directions and recommendations are given for this dynamic area of research.  ...  Acknowledgement We are grateful to the Higher Education Commission (HEC) of Pakistan for their financial assistance to promote the research trend in the country under Indigenous 5000 Fellowship Program  ... 
arXiv:2004.06391v1 fatcat:g6ohfpzeejbwhlxmt7vlmyjqo4

Web Query Processing Approaches A Survey and Comparison

M. Manikantan, S. Duraisamy
2014 International Journal of Computer Applications  
taxonomies, Web search query and search engines, Web query languages and its models, Semantic web and Ontologies, Web query optimizations on distributed web as well as on semantic web and Use of context-based  ...  We propose to use web query modeling using soft-computing techniques.  ...  Further, [60] specializes the general framework to develop Algorithm MGS, targeting at synonym discovery, a canonical problem of schema matching, by designing and discovering a model that specifically  ... 
doi:10.5120/14893-3362 fatcat:qlux6724hfgpnof2k43dqrc5gq

Semantics-empowered text exploration for knowledge discovery

Delroy Cameron, Pablo N. Mendes, Amit P. Sheth, Victor Chan
2010 Proceedings of the 48th Annual Southeast Regional Conference on - ACM SE '10  
The interaction paradigm offered by most contemporary Web Information Systems is a search-and-sift paradigm in which users manually seek information using hyperlinked documents.  ...  This paradigm is derived from a document-centric model that gives users minimal support for scanning through high volumes of text.  ...  ACKNOWLEDGEMENTS We thank Cartic Ramakrishnan for the conceptualization of the first Semantic Browser 7 , and for his suggestions during the development of the current system.  ... 
doi:10.1145/1900008.1900029 dblp:conf/ACMse/CameronMSC10 fatcat:fibusaoymjelresxy3l4rcxp64

Unsupervised Approaches for Textual Semantic Annotation, A Survey

Xiaofeng Liao, Zhiming Zhao
2019 ACM Computing Surveys  
Link to publication Creative Commons License (see CC BY Citation for published version (APA):  ...  ACKNOWLEDGMENTS The authors thank the anonymous reviewers for their helpful comments, in addition to Cees de Laat, Paul Martin, Jayachander Surbiryala, and ZeShun Shi for useful discussions.  ...  These features are used as heuristics to guide the unsupervised learning models in the Model component.  ... 
doi:10.1145/3324473 fatcat:fg5ucwtloze6ljdlh4hqjkqxfe

M-ATOLL: A Framework for the Lexicalization of Ontologies in Multiple Languages [chapter]

Sebastian Walter, Christina Unger, Philipp Cimiano
2014 Lecture Notes in Computer Science  
Many tasks in which a system needs to mediate between natural language expressions and elements of a vocabulary in an ontology or dataset require knowledge about how the elements of the vocabulary (i.e  ...  We evaluate it in terms of precision, recall and F-measure for English and German by comparing an automatically induced lexicon to manually constructed ontology lexica for DBpedia.  ...  This goes beyond a simple matching of natural language expressions and vocabulary elements, and shows that the conceptual granularity of language often does not coincide with that of a particular dataset  ... 
doi:10.1007/978-3-319-11964-9_30 fatcat:an4gjadcavhjlkz5mrhe5cvdte

Semantic annotation in biomedicine: the current landscape

Jelena Jovanović, Ebrahim Bagheri
2017 Journal of Biomedical Semantics  
The abundance and unstructured nature of biomedical texts, be it clinical or research content, impose significant challenges for the effective and efficient use of information and knowledge stored in such  ...  To motivate and encourage further developments in this area, along the suggested and/or related directions, we review existing and potential practical applications and benefits of semantic annotators.  ...  Funding The second author graciously acknowledges funding from The Natural Sciences and Engineering Research Council of Canada (NSERC).  ... 
doi:10.1186/s13326-017-0153-x pmid:28938912 pmcid:PMC5610427 fatcat:jby2gq576vfdfmf4lsusahjrrm

Location Identification Using Stanford NLP

S. Vishnu Manoj
2020 International Journal of Innovative Research in Applied Sciences and Engineering  
The paper also focused on presenting the restricted domain ontology models and concept level vector space model of information retrieval.  ...  This paper inculcates introduction ontology and the definition of a domain ontology for agriculture cultivation.  ...  We have deep gratitude towards our faculties for giving us technical and moral support from time to time  ... 
doi:10.29027/ijirase.v4.i2.2020.617-621 fatcat:u2bo5da3xjgxnpl4iyoqw6m4ui

Learning object models from semistructured Web documents

S. Ye, T.-S. Chua
2006 IEEE Transactions on Knowledge and Data Engineering  
The main contribution of this study is in developing a fully automated approach to extract object data and object model from semistructured Web documents using kernel-based matching and View Syntax interpretation  ...  This model will match the corresponding object data from a Web site more precisely and comprehensively than the existing handcrafted ontologies.  ...  It is particularly appropriate for modeling objects and their relationships and properties. Object model (conceptual model or data model) and axiom are the essence of ontology.  ... 
doi:10.1109/tkde.2006.47 fatcat:slcigcorkjfqvjpb73qkylpobq

Semantic-based Arabic Question Answering: Core and Recent Techniques

Yousif Haroon Abaker, Mohsen Rshwan
2017 International Journal of u- and e- Service, Science and Technology  
The WordNet [13] is a widely used language Ontology for English, which improve the performance of some Ontology-based QA systems to reach 94% [14] [15] .  ...  The point of this review is to overview the state of the art Arabic Fatwa QA models with a focus on the core and recent semantic representation techniques and present a comparative summary that involves  ...  AI Knowledge-Based (KB) Approach AI Knowledge representation approach aims to capture and map the essential features of objects and their relationships of the real world into a computational form of objects  ... 
doi:10.14257/ijunesst.2017.10.1.18 fatcat:srbnencw6bhjbfmdjywdodcdfm

Recent Advances in Zero-shot Recognition [article]

Yanwei Fu, Tao Xiang, Yu-Gang Jiang, Xiangyang Xue, Leonid Sigal, and Shaogang Gong
2017 arXiv   pre-print
This article provides a comprehensive review of existing zero-shot recognition techniques covering various aspects ranging from representations of models, and from datasets and evaluation settings.  ...  We also overview related recognition tasks including one-shot and open set recognition which can be used as natural extensions of zero-shot recognition when limited number of class samples become available  ...  Yanwei Fu is supported by The Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning.  ... 
arXiv:1710.04837v1 fatcat:u3mp6dgj2rgqrarjm4dcywegmy

Ontological inference for image and video analysis

Christopher Town
2006 Machine Vision and Applications  
Two implementations of this approach are presented. The first consists of a content based image retrieval system which allows users to search image databases using an ontological query language.  ...  These models can integrate different sources of information both horizontally (multi-modal and temporal fusion) and vertically (bottom-up, topdown) by incorporating prior hierarchical knowledge expressed  ...  Acknowledgements The author would like to acknowledge financial support from AT&T Labs Research and the Royal Commission for the Exhibition of 1851.  ... 
doi:10.1007/s00138-006-0017-3 fatcat:hat7556tmzbctpebyvzx3xr4dy

Discovery of novel biomarkers and phenotypes by semantic technologies

Carlo A Trugenberger, Christoph Wälti, David Peregrim, Mark E Sharp, Svetlana Bureeva
2013 BMC Bioinformatics  
to impact, conservatively, a faster alternative to vocabulary processes dependent on humans having to read and analyze all the texts.  ...  Biomarkers and target-specific phenotypes are important to targeted drug design and individualized medicine, thus constituting an important aspect of modern pharmaceutical research and development.  ...  Acknowledgements The authors wish to thank Matthew Wiener, Matthew Walker, Paul Ziegler, and Guochun Xie of Merck Research Labs for helpful comments on manuscript drafts.  ... 
doi:10.1186/1471-2105-14-51 pmid:23402646 pmcid:PMC3605201 fatcat:abn5vckzqjbbtpk7jao2lx7a5m

Advances in Ontology Matching [chapter]

Avigdor Gal, Pavel Shvaiko
2008 Lecture Notes in Computer Science  
Matching of concepts describing the meaning of data in heterogeneous distributed information sources, such as database schemas and other metadata models, grouped here under the heading of an ontology,  ...  The aim of this chapter is to motivate the need for ontology matching, introduce the basics of ontology matching, and then discuss several promising themes in the area as reflected in recent research works  ...  We are very grateful to Fausto Giunchiglia, Mikalai Yatskevich and Jérôme Euzenat for many fruitful discussions on various ontology matching themes.  ... 
doi:10.1007/978-3-540-89784-2_6 fatcat:tdn45flrpfcqlk35xqdb6d3era
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