Wednesday, January 28, 2015

CFP: Special Issue on Geospatial Semantics, deadline extended


Special Issue of the JWS on Geospatial Semantics


The Journal of Web Semantics seeks submissions for a special issue on geospatial semantics to be edited by Yolanda Gil and Raphaël Troncy. Submissions are due by January 31 February 16, 2015.

Geospatial reasoning has an increasingly larger scope in the semantic web. More and more information is geolocated, more mobile devices produce geocoded records, and more web mashups are created to convey geospatial information. Semantics can enable automated integration of geospatial information, and track the provenance of the data shown to an end user. Semantics can also improve visualizations and querying of geospatial data. Semantics can also support crowdsourcing of geospatial data, particularly to track identity through name and property changes over time. Several recent workshops on geospatial semantics have emphasized the interest in the community on these topics. Of note are workshops organized by the World Wide Web Consortium (W3C) and the Open Geospatial Consortium (OGC) indicating a strong interest in standardization efforts in geospatial semantics. This special issue aims to synthesize the recent trends in research and practice in the area of geospatial semantics.

Topics of interest include but are not limited to:
  • Combining semantic information with more traditional representations and standards for geospatial data
  • Exploiting semantics to enhance visualizations of geospatial information
  • Use of semantics to support geospatial data integration and conflation
  • Semantic mashups of geospatial data
  • Semantic provenance of geospatial data (e.g., PROV)
  • Semantics for mobile geospatial applications
  • Geospatial linked open data
  • Managing privacy of personal geospatial data and whereabouts through semantics
  • Combining semantic web standards (W3C) with geospatial (OGC) standards (e.g., GML)
  • Format for representing geographical data (e.g., GeoJSON)
  • Semantics for crowdsourcing geospatial information
  • Semantics for exploiting geospatial information in social network platforms
  • Scalable reasoning with semantic geospatial data
  • Real world applications of semantic geospatial frameworks

Guest Editors

  • Yolanda Gil, Information Sciences Institute, University of Southern California
  • Raphaël Troncy, Multimedia Communications Department, EURECOM

Important Dates

  • Call for papers: September 20, 2014
  • Submission deadline: January 31 February 16, 2015
  • Author notification: mid-April 2015
  • Publication: third quarter of 2015

Submission guidelines

The Journal of Web Semantics solicits original scientific contributions of high quality. Following the overall mission of the journal, we emphasize the publication of papers that combine theories, methods and experiments from different subject areas in order to deliver innovative semantic methods and applications. The publication of large-scale experiments and their analysis is also encouraged to clearly illustrate scenarios and methods that introduce semantics into existing Web interfaces, contents and services.

Submission of your manuscript is welcome provided that it, or any translation of it, has not been copyrighted or published and is not being submitted for publication elsewhere. Manuscripts should be prepared for publication in accordance with instructions given in the JWS guide for authors. The submission and review process will be carried out using Elsevier's Web-based EES system. Upon acceptance of an article, the author(s) will be asked to transfer copyright of the article to the publisher. This transfer will ensure the widest possible dissemination of information. Elsevier's liberal preprint policy permits authors and their institutions to host preprints on their web sites. Preprints of the articles will be made freely accessible on the JWS preprint server. Final copies of accepted publications will appear in print and at Elsevier's archival online server.

Thursday, January 15, 2015

Preprints: Special Issue on the 2013 Semantic Web Challenge


Volume 27 of the Journal of Web Semantics includes papers from a special issue from the 2013 Semantic Web Challenge edited by Andreas Harth and Sean Bechhofer. Five systems sere selected as winners, four in the Open Track, with a special Big Data Prize being awarded to the best systems making use of large-scale data sets. This special issue presents articles about these five systems.

Wednesday, January 14, 2015

2015 Ontology Summit: Internet of Things: Toward Smart Networked Systems and Societies



The theme of the 2015 Ontology Summit is Internet of Things: Toward Smart Networked Systems and Societies. The Ontology Summit is an annual series of events (first started by Ontolog and NIST in 2006) that involve the ontology community and communities related to each year's theme.

The 2015 Summit will hold a virtual discourse over the next three months via mailing lists and online panel sessions augmented conference calls. The Summit will culminate in a two-day face-to-face workshop on 13-14 April 2015 in Arlington, VA. The Summit's goal is to explore how ontologies can play a significant role in the realization of smart networked systems and societies in the Internet of Things.

The Summit's initial launch session will take place from 12:30pm to 2:00pm EDT on Thursday, January 15th and will include overview presentations from each of the four technical tracks. See the 2015 Ontology Summit for more information, the schedule and details on how to participate in these free an open events.

Wednesday, January 7, 2015

Special issue on machine learning deadline extended to 15 February 2015


The deadline for submission to the special issue on machine learning and data mining for the Semantic Web has been extended to 15 February 2015.

Important Dates

  • Submission deadline: 15 February 2015
  • Author notification: 30 April 2015
  • Submission deadline for revisions: 15 June 2015
  • Author notification: 1 August 2015

Special issue editors

Monday, November 24, 2014

Preprint: Linked Hypernyms: Enriching Dbpedia with Targeted Hypernym Discovery



Tomáš Kliegr, Linked Hypernyms: Enriching Dbpedia with Targeted Hypernym Discovery, Web Semantics: Science, Services and Agents on the World Wide Web, to appear.

Abstract: The Linked Hypernyms Dataset (LHD) provides entities described by Dutch, English and German Wikipedia articles with types in the DBpedia namespace. The types are extracted from the first sentences of Wikipedia articles using Hearst pattern matching over part-of-speech annotated text and disambiguated to DBpedia concepts. The dataset covers 1.3 million RDF type triples from English Wikipedia, out of which 1 million RDF type triples were found not to overlap with DBpedia, and 0.4 million with YAGO2s. There are about 770 thousand German and 650 thousand Dutch Wikipedia entities assigned a novel type, which exceeds the number of entities in the localized DBpedia for the respective language. RDF type triples from the German dataset have been incorporated to the German DBpedia. Quality assessment was performed altogether based on 16.500 human ratings and annotations. For the English dataset, the average accuracy is 0.86, for German 0.77 and for Dutch 0.88. The accuracy of raw plain text hypernyms exceeds 0.90 for all languages. The LHD release described and evaluated in this article targets DBpedia 3.8, LHD version for the DBpedia 3.9 containing approximately 4.5 million RDF type triples is also available.

Saturday, November 22, 2014

Preprint: Mining Various Semantic Relationships from Unstructured User-Generated Web Data



Pei-Ling Hsu, Hsiao-Shan Hsieh, Jheng-He Liang and Yi-Shin Chen, Mining Various Semantic Relationships from Unstructured User-Generated Web Data, Web Semantics: Science, Services and Agents on the World Wide Web, to appear.

Absract: With the emergence of Web 2.0, the amount of user-generated web data has sharply increased. Thus, many studies have proposed techniques to extract wisdom from these user-generated datasets. Some of these works have focused on extracting semantic relationships through the use of search logs or social annotations, but only hierarchical relationships have been considered. The goal of this paper is to detect various semantic relationships (hierarchical and non-hierarchical) between concepts using search logs and social annotations. The experimental results demonstrate that our proposed approach constructs adequate relationships.

Friday, November 21, 2014

Preprint: On the Formulation of Performant SPARQL Queries



Antonis Loizou, Renzo Angles and Paul Groth, On the Formulation of Performant SPARQL Queries, Web Semantics: Science, Services and Agents on the World Wide Web, to appear.

Abstract: The combination of the flexibility of RDF and the expressiveness of SPARQL provides a powerful mechanism to model, integrate and query data. However, these properties also mean that it is nontrivial to write performant SPARQL queries. Indeed, it is quite easy to create queries that tax even the most optimised triple stores. Currently, application developers have little concrete guidance on how to write "good" queries. The goal of this paper is to begin to bridge this gap. It describes five heuristics that can be applied to create optimised queries. The heuristics are informed by formal results in the literature on the semantics and complexity of evaluating SPARQL queries, which ensures that queries following these rules can be optimised effectively by an underlying RDF store. Moreover, we empirically verify the ecacy of the heuristics using a set of openly available datasets and corresponding SPARQL queries developed by a large pharmacology data integration project. The experimental results show improvements in performance across six state-of-the-art RDF stores.

Wednesday, September 24, 2014

Preprint: Lessons Learnt from the Deployment of a Semantic Virtual Research Environment



Peter Edwards, Edoardo Pignotti, Chris Mellish, Alan Eckhardt, Kapila Ponnamperuma, Thomas Bouttaz, Lorna Philip, Kate Pangbourne, Gary Polhill and Nick Gotts, Lessons Learnt from the Deployment of a Semantic Virtual Research Environment, Web Semantics: Science, Services and Agents on the World Wide Web, to appear.


The ourSpaces Virtual Research Environment makes use of Semantic Web technologies to create a platform to support multi-disciplinary research groups. This paper introduces the main semantic components of the system: a framework to capture the provenance of the research process, a collection of services to create and visualise metadata and a policy reasoning service. We also describe different approaches to authoring and accessing metadata within the VRE. Using evidence gathered from data provided by the users of the system we discuss the lessons learnt from deployment with three case study groups.