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Semantic Augmentations for Geospatial Catalogue Service

P. Yue, L. Di, P. Zhao, W. Yang, G. Yu, Y. Wei
2006 2006 IEEE International Symposium on Geoscience and Remote Sensing  
The paper also illustrates how such semanticallyaugmented CSW can facilitate service chaining and assist in dynamic discovery and/or derivation of geospatial information.  ...  This paper explores the semantic representation of geospatial data and services to enable the semantic search in CSW based on the semantic relationship defined in OWL/OWL-S.  ...  To make use of OWL/OWL-S in the discovery process of CSW, semantic relationship in OWL/OWL-S need to be stored in CSW.  ... 
doi:10.1109/igarss.2006.894 fatcat:fi5dbo6wf5ebtacimi6k3btw2a

Integrating semantic web technologies and geospatial catalog services for geospatial information discovery and processing in cyberinfrastructure

Peng Yue, Jianya Gong, Liping Di, Lianlian He, Yaxing Wei
2009 Geoinformatica  
The creation of such a semantics-enhanced geospatial catalogue service is important in meeting the demands for geospatial information discovery and analysis in Cyberinfrastructure.  ...  Semantic Web technologies show promise for better discovery methods by exploiting the underlying semantics.  ...  This semantic middleware is able to perform three types of discovery.  ... 
doi:10.1007/s10707-009-0096-1 fatcat:uj2ywhdsubhshmf3rij43uddim

Predication-based semantic indexing: permutations as a means to encode predications in semantic space

Trevor Cohen, Roger W Schvaneveldt, Thomas C Rindflesch
2009 AMIA Annual Symposium Proceedings  
Corpus-derived distributional models of semantic distance between terms have proved useful in a number of applications.  ...  The associations captured by this method are of a different and complementary nature to those derived by traditional vector space models, and the encoding of predication types presents new possibilities  ...  Acknowledgments We would like to acknowledge Dominic Widdows, chief instigator of Semantic Vectors (10), some of which was adapted to this work, and Sahlgren, Holst and Kanerva for their remarkable contribution  ... 
pmid:20351833 pmcid:PMC2815384 fatcat:cxjqtpjotzgijlofagqw5hmdra

Intelligent services for discovery of complex geospatial features from remote sensing imagery

Peng Yue, Liping Di, Yaxing Wei, Weiguo Han
2013 ISPRS journal of photogrammetry and remote sensing (Print)  
Using spatial semantics among elementary features and thematic semantics among feature types, workflow-based service chains can be constructed to locate semantically-related complex features in imagery  ...  Such spatial semantics, together with thematic semantics of feature types, can be used to discover complex geospatial features.  ...  Part of the work discussed in the paper was funded by U.S. Department of Energy (Grant #DE-NA0001123, PI: Prof.  ... 
doi:10.1016/j.isprsjprs.2013.02.015 fatcat:ak67tavw6rdl7mfzslndzehz5i

Example-driven query intent discovery

Anna Fariha, Alexandra Meliou
2019 Proceedings of the VLDB Endowment  
In this paper, we present SQUID, a system that performs semantic similarity-aware query intent discovery.  ...  However, these approaches focus on the structural similarity of the examples and ignore the richer context present in the data.  ...  SQUID's αDB stores a derived semantic property that associates the two entity types in a new relation, persontogenre(person.id, genre.id, count), which stores how many movies of each genre each person  ... 
doi:10.14778/3342263.3342266 fatcat:pv2mrispx5b7jo3gm5mxinbp54

Using the literature-based discovery paradigm to investigate drug mechanisms

Caroline B Ahlers, Dimitar Hristovski, Halil Kilicoglu, Thomas C Rindflesch
2007 AMIA Annual Symposium Proceedings  
The use of semantic predications and the discovery pattern provides a way to uncover previously unnoticed associations between pharmacologic and bioactive substances on the one hand and bioactive substances  ...  We exploit the literature-based discovery paradigm to investigate these mechanisms and propose a discovery pattern that draws on semantic predications extracted from MEDLINE citations.  ...  Acknowledgments This study was supported in part by the Intramural Research Programs of the National Institutes of Health, National Library of Medicine.  ... 
pmid:18693787 pmcid:PMC2655783 fatcat:gty3aiahtzh2rft6wxprqxx6t4

Semantic QoS Metric Matching

Kyriakos Kritikos, Dimitris Plexousakis
2006 2006 European Conference on Web Services (ECOWS'06)  
While sophisticated semantic discovery mechanisms have been invented to overcome the UDDI's syntactic discovery solution in order to provide more recallable and precise results, the amount of functionally  ...  It is shown that, by using this approach and by introducing the concept of semantic QoS metric matching, QoS-based syntactic matchmaking and selection algorithms are transformed to semantic ones leading  ...  Section "QoS-based Web Service Discovery" presents our approach for semantic discovery of WSs based on QoS.  ... 
doi:10.1109/ecows.2006.34 dblp:conf/ecows/KritikosP06 fatcat:zipz4vp5cvampjpw3p52t4uak4

Semantic data containers for realizing the full potential of system wide information management

Bernd Neumayr, Eduard Gringinger, Christoph G. Schuetz, Michael Schrefl, Scott Wilson, Audun Vennesland
2017 2017 IEEE/AIAA 36th Digital Avionics Systems Conference (DASC)  
In combination with SWIM, semantic containers facilitate the emergence of a marketplace of value-added information services, and allow for complex derivation chains of data sets.  ...  In order to unleash the full potential of System Wide Information Management (SWIM), the BEST project (Achieving the Benefits of SWIM by Making Smart Use of Semantic Technologies) proposes the semantic  ...  Derivation chains of activities and semantic containers The main focus of this work is the description and discovery of data products as semantic containers.  ... 
doi:10.1109/dasc.2017.8102002 fatcat:743enoxyafbn3lnr7rbgsbkupe

A systematic review on literature-based discovery workflow

Menasha Thilakaratne, Katrina Falkner, Thushari Atapattu
2019 PeerJ Computer Science  
With regards to the input component, we discuss the data types and data sources used in the literature.  ...  Literature-Based Discovery (LBD), supporting automated knowledge discovery, helps facilitate this process by eliciting novel knowledge by analysing existing scientific literature.  ...  Group based on semantic type: In Manjal LBD system (Srinivasan, 2004) , the outputted terms are organised by UMLS semantic type and ranked based on its estimated potential within the semantic type.  ... 
doi:10.7717/peerj-cs.235 pmid:33816888 pmcid:PMC7924697 fatcat:w3gat4llvfarhbjo2gpfgt4smi

Semantic maps and mental representation

Sonia Cristofaro
2010 Linguistic Discovery  
These patterns may also originate from the fact that a particular functional principle leads to the association of a particular construction type with different conceptual situations, independently of  ...  This paper provides a number of arguments that challenge this view, based on various types of evidence from processes of semantic change and synchronic implicational universals.  ...  Figure 1 : 1 Diachronic extension in the semantic map model Linguistic Discovery 8.1:35-52 Figure 2 : 2 Metonymization Figure 3 : 3 Generalization Linguistic Discovery 8.1:35-52 Figure 4 : 4 Semantic  ... 
doi:10.1349/ps1.1537-0852.a.345 fatcat:i4dtkawfvbb35jivzvmi7rimkm

Database Issues in Knowledge Discovery and Data Mining

Chris Rainsford, John Roddick
1999 Australasian Journal of Information Systems  
, the different types of discovered knowledge, the way knowledge discovery systems operate on different data types, various techniques for knowledge discovery and the ways in which discovered knowledge  ...  The terms "Knowledge Discovery in Databases" and "Data Mining" have been adopted for a field of research dealing with the automatic discovery of knowledge impb'cit within databases.  ...  All of these data types may be derived independently however their presence in a data warehouse would avoid the need to create them hence saving time in the preparation of data for the knowledge discovery  ... 
doi:10.3127/ajis.v6i2.310 fatcat:57zzkqzw2bdgndhjp5tumgicd4

Structuring Domain-Specific Text Archives by Deriving a Probabilistic XML DTD [chapter]

Karsten Winkler, Myra Spiliopoulou
2002 Lecture Notes in Computer Science  
Our approach utilizes association rule discovery and sequence mining techniques to structure a previously derived flat, i.e. unstructured DTD.  ...  Based on the KDD-driven DIAsDEM framework, we propose a new method to derive an archive-specific structured XML document type definition (DTD).  ...  In contrast to our work, the authors neither derive an XML DTD nor apply a knowledge discovery methodology.  ... 
doi:10.1007/3-540-45681-3_38 fatcat:n2mxpwd2wvfl7ghdqgfuybzlga

Computational Literature-based Discovery for Natural Products Research: Current State and Future Prospects

Andreas Lardos, Ahmad Aghaebrahimian, Anna Koroleva, Julia Sidorova, Evelyn Wolfram, Maria Anisimova, Manuel Gil
2022 Frontiers in Bioinformatics  
Most of the 91 natural product-related discoveries in our sample of reported use cases of LBD were addressed at a computer science audience.  ...  Literature-based discovery (LBD) mines existing literature in order to generate new hypotheses by finding links between previously disconnected pieces of knowledge.  ...  Due to the extensive number of discoveries cited in the publications, discoveries with identical semantic types of starting and target concepts reported in the same publication were pooled together and  ... 
doi:10.3389/fbinf.2022.827207 fatcat:dduof4mwrza5lcqzwqtq2fuz44

LinkedCT: A Linked Data Space for Clinical Trials [article]

Oktie Hassanzadeh, Anastasios Kementsietsidis, Lipyeow Lim, Renee J. Miller, Min Wang
2009 arXiv   pre-print
Our approach for semantic link discovery involves using state-of-the-art approximate string matching techniques combined with ontology-based semantic matching of the records, all performed in a declarative  ...  We present an evaluation of the performance of our proposed techniques in several link discovery scenarios in LinkedCT.  ...  Such relationship types can be conveniently represented in the relational model and (recursive) SQL queries can be used to test whether two values are associated with a relationship of a certain type.  ... 
arXiv:0908.0567v1 fatcat:i5if25dtvbfwbnrecypdg2ny7y

Semantic web for integrated network analysis in biomedicine

H. Chen, L. Ding, Z. Wu, T. Yu, L. Dhanapalan, J. Y. Chen
2009 Briefings in Bioinformatics  
In this article, we survey the feasibility and state of the art of utilizing the Semantic Web technology to represent, integrate and analyze the knowledge in various biomedical networks.  ...  We introduce a new conceptual framework, semantic graph mining, to enable researchers to integrate graph mining with ontology reasoning in network data analysis.  ...  Definition 6: Semantic Association Discovery.  ... 
doi:10.1093/bib/bbp002 pmid:19304873 fatcat:4q6skldwufbtxfdymxl6uraleq
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