Thursday, December 13, 2012

CFP: JWS special issue on Semantic Search

The Journal of Web Semantics seeks submissions for a special issue on Semantic Search to be edited by Roberto Navigli and Fabian M. Suchanek. Submissions are due by 1 July 2013.

Semantic technologies, such as expressive ontology and resource description languages, scalable repositories, reasoning engines and information extraction techniques, are now in a mature state so that they can give a higher level of semantics to Information Retrieval (IR) systems. This application of semantic technologies to IR tasks is typically referred to as Semantic Search. Challenges on this way include (i) identifying tasks and paradigms for semantic search systems, (ii) devising expressive disambiguation and annotation frameworks as well as scalable algorithms and infrastructures, (iii) investigating innovative query paradigms for semantic search systems, and (iv) applying machine learning, natural language processing and information extraction techniques in the context of semantic search.

This special issue will cover interdisciplinary topics between the Semantic Web and IR. These include, but are not limited to the following topics.
  • Information retrieval tasks on the Semantic Web
  • Incentives and interaction paradigms for resource annotation
  • Interaction paradigms for semantic search
  • Statistical and knowledge-rich techniques for semantic search
  • Semantic technologies for query interpretation, refinement and routing
  • Modeling expressive resource descriptions
  • Natural language processing and information extraction for the acquisition of resource descriptions
  • Lexical and knowledge resources for semantic search
  • Scalable repositories and infrastructures for semantic search
  • Crawling, storing and indexing of expressive resource descriptions
  • Fusion of semantic search results on the Semantic Web
  • Algorithms for matching expressive queries and resource descriptions
  • Algorithms and procedures to deal with vagueness, incompleteness and inconsistencies in semantic search
  • Evaluation methodologies for semantic search
  • Standard datasets and benchmarks for semantic search
  • Semantic Information Retrieval and semantic search engines
  • Semantic search in or via linked data
We solicit contributions that address these challenges, as well as reports on novel applications with the potential to push semantic search forward

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. 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. 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. Final decisions of accepted papers will be approved by an editor in chief.

Final layouted copies of accepted publications will appear in print and at the archival online server. Author preprints of the articles will be made freely accessible on the JWS preprint server.

Posted Schedule

  • Call for papers: Dec 2012
  • Submission deadline: 1st of July 2013
  • Author notification: 1st of October 2013
  • Submission deadline for revisions: 1st of January 2014
  • Author notification: 1st of March 2014
  • Submission deadline for camera-ready versions: 1st of April 2014

Contact Information

For any further questions regarding the special issue (appropriateness of your contribution, editorial issues, etc.), please feel free to contact the guest editors Roberto Navigli ( and Fabian M. Suchanek (

Monday, October 29, 2012

JWS volume 16 preprints available

Preprints from the Journal of Web Semantics, volume 16 (2012) are now on the preprint server. These include two research papers and three papers based on finalists from the 2011 Semantic Web Challenge 2011.

Tuesday, October 23, 2012

Christian Bizer is new area editor for system papers

Christian Bizer is now the area editor for system papers for the Journal of Web Semantics. Dr. Bizer recently accepted an appointment as the W3-Professor for Information Systems at the University of Mannheim, where he leads the Research Group Data and Web Science in the School of Business Informatics and Mathematics. The research group conducts research on methods for managing, integrating and mining large-amounts of heterogeneous information within enterprise and open Web contexts. Before moving to Mannheim, he was a professor at Freie Universität Berlin. Dr. Bizer is well known for his contributions to DBpedia, linked open data and publishing relational databases on the Web.

Tuesday, October 16, 2012

Preprints from JWS v15 n3

Preprints from the Journal of Web Semantics, volume 15 number 3, are available online.

Research papers
Ontology papers
  • Michael Compton, Payam Barnaghi, Luis Bermudez, Raul Garcıa-Castro, Oscar Corcho, Simon Cox, John Graybeal, Manfred Hauswirth, Cory Henson, Arthur Herzog, Vincent Huang, Krzysztof Janowicz, W. David Kelsey, Danh Le Phuoc, Laurent Lefort, Myriam Leggieri, Holger Neuhaus, Andriy Nikolov, Kevin Page, Alexandre Passant, Amit Sheth and Kerry Taylor, The SSN Ontology of the W3C Semantic Sensor Network Incubator Group
  • Christian Meilicke, Raúl García-Castro, Fred Freitas, Willem Robert van Hage, Elena Montiel-Ponsoda, Ryan Ribeiro de Azevedo, Heiner Stuckenschmidt, Ondrej Svab-Zamazal, Vojtech Svatek, Andrei Tamilin, Cassia Trojahn and Shenghui Wang, MultiFarm: A Benchmark for Multilingual Ontology Matching

Saturday, August 11, 2012

JWS preprint: FaBiO and CiTO: ontologies for describing bibliographic resources and citations

A new ontology paper preprint is available on the Journal of Web Semantics preprint server.

Silvio Peroni and David Shotton, FaBiO and CiTO: ontologies for describing bibliographic resources and citations, Journal of Web Semantics, in press.

Semantic publishing is the use of Web and Semantic Web technologies to enhance the meaning of a published journal article, to facilitate its automated discovery, to enable its linking to semantically related articles, to provide access to data within the article in actionable form, and to facilitate integration of data between articles. Recently, semantic publishing has opened the possibility of a major step forward in the digital publishing world. For this to succeed, new semantic models and visualization tools are required to fully meet the specific needs of authors and publishers. In this article, we introduce the principles and architectures of two new ontologies central to the task of semantic publishing: FaBiO, the FRBR-aligned Bibliographic Ontology, an ontology for recording and publishing bibliographic records of scholarly endeavours on the Semantic Web, and CiTO, the Citation Typing Ontology, an ontology for the characterization of bibliographic citations both factually and rhetorically. We present those two models step by step, in order to emphasise their features and to stress their advantages relative to other pre-existing information models. Finally, we review the uptake of FaBiO and CiTO within the academic and publishing communities.

Thursday, August 9, 2012

New letters on the preprint server

The first letters to the Journal of Web Semantics are on the IN PRINT section of the JWS preprint server. These include comments by Peter Patel-Schneider on the article WebPIE: A Web-scale Parallel Inference Engine using MapReduce by Jacopo Urbani et al. and a response and corrigendum from the authors.

Wednesday, August 8, 2012

JWS preprint: Folksonomized Ontology and the 3E Steps Technique to Support Ontology Evolvement

A new preprint is available on the preprint server as part of a special issue on the Semantic and Social Web.

Hugo Alves and Andre Santanche, Folksonomized Ontology and the 3E Steps Technique to Support Ontology Evolvement, Journal of Web Semantics, to appear, 2012.

Folksonomies are increasingly adopted in web systems. These “social taxonomies”, which emerge from collaborative tagging, contrast with the formalism and the systematic creation process applied to ontologies. However, they can play complementary roles, as the knowledge systematically formalized in ontologies by a restricted group can be enriched by the implicit knowledge collaboratively produced by a much wider group. Existing initiatives that involve folksonomies and ontologies are often unidirectional, i.e., ontologies improve tag operations or tags are used to automatically create ontologies. We propose a new fusion approach in which the semantics travels in both directions – from folksonomies to ontologies and vice versa. The result of this fusion is our Folksonomized Ontology (FO). In this paper, we present our 3E Steps technique – Extraction, Enrichment, and Evolution –, which explores the latent semantics of a given folksonomy – expressed in a FO – to support ontology review and enhancement. It was implemented and tested in a visual review/enhancement tool.

JWS adds section for letters to the Journal

The Journal of Web Semantics is introducing a new letters section as a  place to publish comments on recent Journal of Web Semantics articles that have appeared either in print or online.  Such letters might present corrections or errata, identify problems or errors, provide complimentary evidence for claims, and/or raise interesting points for discussion.  Where appropriate, the Editors in Chief will invite the authors of the original article to compose a reply to a letter and publish both together.

Letters and associated responses should be submitted using the Journal of Web Semantics' submission site by selecting the 'letter' article type.  Both letters and their responses will normally not exceed four JWS-formatted pages.  Where a longer length is required by the subject, it may be allowed at the discretion of the Editors in Chief.   Both will be reviewed for content and appropriateness by the letters area editor and/or the Editors in Chief.  In some cases, we may also ask for one or more peer reviews.

Due to limited space, the Journal of Web Semantics cannot publish all submitted letters and responses in the printed journal. Some may be selected for online publication only on the Journal's preprint Web site.

The content of both the letter and any response is the responsibility of their authors and subsequent publication in the Journal of Web Semantics does not imply the Journal's agreement or endorsement.

Monday, August 6, 2012

Three new papers from the 2011 Semantic Web Challenge

Three new papers are available on the Journal of Web Semantics preprint server. These will appear in volume 15 as part of a special section edited by Diana Maynard and Chris Bizer featuring revised and extended papers from the 2011 ISWC Semantic Web Challenge.

Marco Balduini, Irene Celino, Daniele Dell´Aglio, Emanuele Della Valle, Yi Huang, Tony Lee, Seon-Ho Kim, Volker Tresp, BOTTARI: An Augmented Reality Mobile Application to Deliver Personalized and Location-Based Recommendations by Continuous Analysis of Social Media Streams, Journal of Web Semantics, volume 15, to appear.

In 2011, an average of three million tweets per day was posted in Seoul. Hundreds of thousands of tweets carry the live opinion of some tens of thousands of users about restaurants, bars, coffees and many other semi-public points of interest (POIs) in the city. Trusting this collective opinion to be a solid base for novel commercial and social services, we conceived BOTTARI: an augmented reality application that offers personalized and localized recommendation of POIs based on the temporally-weighted opinions of the social media community. In this paper, we present the design of BOTTARI, the potentialities of semantic technologies like inductive and deductive stream reasoning and the lesson learnt in experimentally deploying BOTTARI in Insadong – a popular tourist area in Seoul – for which we have been collecting tweets for three years to rate the few hundreds of restaurants in the district. The results of our study show to demonstrate the feasibility of BOTTARI and encourage its commercial spreading.

Matthias Konrath, Thomas Gottron, Steffen Staab, Ansgar Scherp, SchemEX – Efficient Construction of a Data Catalogue by Stream-Based Indexing of Linked Data, Journal of Web Semantics, volume 15, to appear.

We present SchemEX, an approach and tool for a stream-based indexing and schema extraction of Linked Open Data (LOD) at web-scale. The schema index provided by SchemEX can be used to locate distributed data sources in the LOD cloud. It serves typical LOD information needs such as finding sources that contain instances of one specific data type, of a given set of data types (so-called type clusters), or of instances in type clusters that are connected by one or more common properties (so-called equivalence classes). The entire process of extracting the schema from triples and constructing an index is designed to have linear runtime complexity. Thus, the schema index can be computed on-the-fly while the triples are crawled and provided as a stream by a linked data spider. To demonstrate the web-scalability of our approach, we have computed a SchemEX index over the Billion Triples Challenge (BTC) dataset 2011 consisting of 2,170 million triples. In addition, we have computed the SchemEX index on a dataset with 11 million triples. We use this smaller dataset for conducting a detailed qualitative analysis. We are capable to locate relevant data sources with recall between 71% and 98% and a precision between 74% and 100% at a window size of 100K triples observed in the stream and depending on the complexity of the query, i.e. if one wants to find specific data types, type clusters or equivalence classes.

Danh Le-Phuoc, Hoan Quoc Nguyen-Mau, Josiane Xavier Parreira, Manfred Hauswirth, A Middleware Framework for Scalable Management of Linked Streams, Journal of Web Semantics, volume 15, to appear.

The Web has long exceeded its original purpose of a distributed hypertext system and has become a global, data sharing and processing platform. This development is confirmed by remarkable milestones such as the Semantic Web, Web services, social networks and mashups. In parallel with these developments on the Web, the Internet of Things (IoT), i.e., sensors and actuators, has matured and has become a major scientific and economic driver. Its potential impact cannot be overestimated – for example, in logistics, cities, electricity grids and in our daily life, in the form of sensor-laden mobile phones – and rival that of the Web itself. While the Web provides ease of use of distributed resources and a sophisticated development and deployment infrastructure, the IoT excels in bringing real-time information from the physical world into the picture. Thus a combination of these players seems to be the natural next step in the development of even more sophisticated systems of systems. While only starting, there is already a significant amount of sensor-generated, or more generally dynamic information, available on theWeb. However, this information is not easy to access and process, depends on specialised gateways and requires significant knowledge on the concrete deployments, for example, resource constraints and access protocols. To remedy these problems and draw on the advantages of both sides, we try to make dynamic, online sensor data of any form as easily accessible as resources and data on theWeb, by applying well-established Web principles, access and processing methods, thus shielding users and developers from the underlying complexities. In this paper we describe our Linked StreamMiddleware (LSM,,which makes it easy to integrate time-dependent data with other Linked Data sources, by enriching both sensor sources and sensor data streams with semantic descriptions, and enabling complex SPARQL-like queries across both dataset types through a novel query processing engine, along with means to mashup the data and process results. Most prominently, LSM provides (1) extensible means for real-time data collection and publishing using a cloud-based infrastructure, (2) a Web interface for data annotation and visualisation, and (3) a SPARQL endpoint for querying unified Linked Stream Data and Linked Data. We describe the system architecture behind LSM, provide details how Linked Stream Data is generated, and demonstrate the benefits and efficiency of the platform by showcasing some experimental evaluations and the system’s interface.

Monday, July 16, 2012

UK to support open access for publicly funded scientific research

The Gardian reports that the UK government will unveil controversial plans to make publicly funded scientific research immediately available for anyone to read for free by 2014. The controversy stems from the plan that ensures the financial security of journal publishers by swapping their revenue from library budgets to science budgets.

"Though many academics will welcome the announcement, some scientists contacted by the Guardian were dismayed that the cost of the transition, which could reach £50m a year, must be covered by the existing science budget and that no new money would be found to fund the process. That could lead to less research and fewer valuable papers being published. 
British universities now pay around £200m a year in subscription fees to journal publishers, but under the new scheme, authors will pay "article processing charges" (APCs) to have their papers peer reviewed, edited and made freely available online. The typical APC is around £2,000 per article."

Wednesday, July 11, 2012

Ian Horrocks appointed an Editor in Chief of the Journal of Web Semantics

Dr. Ian Horrocks has been named as an editor in chief of the Journal of Web Semantics, replacing Dr. Riichiro Mizoguchi. Dr. Horrocks is a Professor in the Oxford University Department of Computer Science, where he conducts research on knowledge representation, ontologies and ontology languages, description logics, automated reasoning, and applications in areas including e-Science and the Semantic Web.  He is recognized for his contributions to description logic reasoning algorithms and techniques, and the development of the OIL, DAML+OIL and OWL ontology languages.  He served as the co-chair of the W3C Working Group that developed the OWL 2 Web Ontology Language which became a W3C recommendation in 2009.  Dr. Horrocks is a BCS Fellow, an ECCAI Fellow and a Fellow of the Royal Society.  Dr. Horrocks has been a member of the JWS editorial board since the journal's inception in 2003 and has also served as the area editor for reasoning.

The Journal of Web Semantics thanks Dr. Riichiro Mizoguchi for his considerable service as an member of the editorial board since 2003 and as an editor in chief from 2007 to 2011.  Professor Mizoguchi continues to lead an active research program at Osaka University as the director of the Department of Knowledge Systems in the Institute of Scientific and Industrial Research.

Wednesday, June 20, 2012

JWS preprint: A Configurable Translation-Based Cross-Lingual Ontology Mapping System to Adjust Mapping Outcome

The following research paper is now on the Journal of Web Semantics preprint server.

Bo Fu, Rob Brennan and Declan O’Sullivan, A Configurable Translation-Based Cross-Lingual Ontology Mapping System to Adjust Mapping Outcome, Journal of Web Semantics, Elsevier, to appear.

Abstract: Ontologies are widely considered as the building blocks of the semantic web, and with them, comes the data interoperability issue. As ontologies are not necessarily always labelled in the same natural language, one way to achieve semantic interoperability is by means of cross-lingual ontology mapping. Translation techniques are often used as an intermediate step to translate the conceptual labels within an ontology. This approach essentially removes the natural language barrier in the mapping environment and enables the application of monolingual ontology mapping tools. This paper shows that the key to this translation-based approach to cross-lingual ontology mapping lies with selecting appropriate ontology label translations in a given mapping context. Appropriateness of the translations in the context of cross-lingual ontology mapping differs from the ontology localisation point of view, as the former aims to generate correct mappings whereas the latter aims to adapt specifications of conceptualisations to target communities. This paper further demonstrates that the mapping outcome using the translation-based cross-lingual ontology mapping approach is conditioned on the translations selected for the intermediate label translation step. In particular, this paper presents the design, implementation and evaluation of a novel cross-lingual ontology mapping system: SOCOM++. SOCOM++ provides configurable properties that can be manipulated by a user in the process of selecting label translations in an effort to adjust the subsequent mapping outcome. It is shown through the evaluation that for the same pair of ontologies, the mappings between them can be adjusted by tuning the translations for the ontology labels. This finding is not yet shown in previous research.

Monday, June 18, 2012

JWS preprint: Georeferencing Flickr Photos Using Language Models at Different Levels of Granularity: an Evidence Based Approach

The following research paper has been added to the Journal of Web Semantics preprint server.

Olivier Van Laere, Steven Schockaert and Barth Dhoedt, Georeferencing Flickr Photos Using Language Models at Different Levels of Granularity: an Evidence Based Approach, Journal of Web Semantics, to appear.

The topic of automatically assigning geographic coordinates to Web 2.0 resources based on their tags has recently gained considerable attention. However, the coordinates that are produced by automated techniques are necessarily variable, since not all resources are described by tags that are sufficiently descriptive. Thus there is a need for adaptive techniques that assign locations to photos at the right level of granularity, or, in some cases, even refrain from making any estimations regarding location at all. To this end, we consider the idea of training language models at different levels of granularity, and combining the evidence provided by these language models using Dempster and Shafer’s theory of evidence. We provide experimental results which clearly confirm that the increased spatial awareness that is thus gained allows us to make better informed decisions, and moreover increases the overall accuracy of the individual language models.

JWS preprint: The SSN Ontology of the W3C Semantic Sensor Network Incubator Group

The following ontology paper is available on the the Journal of Web Semantics preprint server.

Michael Compton, Payam Barnaghi, Luis Bermudez, Raul Garcia-Castro, Oscar Corcho, Simon Cox, John Graybeal, Manfred Hauswirth, Cory Henson, Arthur Herzog, Vincent Huang, Krzysztof Janowicz, W. David Kelsey, Danh Le Phuoc, Laurent Lefort, Myriam Leggieri, Holger Neuhaus, Andriy Nikolov, Kevin Page, Alexandre Passant, Amit Sheth, Kerry Taylor, The SSN Ontology of the W3C Semantic Sensor Network Incubator Group, Journal of Web Semantics, Elsevier, to appear.

The W3C Semantic Sensor Network Incubator group (the SSN-XG) produced an OWL 2 ontology to describe sensors and observations — the SSN ontology, available at The SSN ontology can describe sensors in terms of capabilities, measurement processes, observations and deployments. This article describes the SSN ontology. It further gives an example and describes the use of the ontology in recent research projects.

Sunday, June 17, 2012

JWS preprint: Community Analysis through Semantic Rules and Role Composition Derivation

The following paper has been added to the Journal of Web Semantics preprint server.

Matthew Rowe, Miriam Fernandez, Sofia Angeletou, Harith Alani, Community Analysis through Semantic Rules and Role Composition Derivation, Journal of Web Semantics, Elsevier, to appear.

Online communities provide a useful environment for web users to communicate and interact with other users by sharing their thoughts, ideas and opinions, and for resolving problems and issues. Companies and organisations now host online communities in order to support their products and services. Given this investment such communities are required to remain healthy and flourish. The behaviour that users exhibit within online communities is associated with their actions and interactions with other community users while the role that a user assumes is the label associated with a given type of behaviour. The domination of one type of behaviour within an online community can impact upon its health, for example, it might be the case within a question-answering community that there is a large portion of expert users and very few users asking questions, thereby reducing the involvement of and the need for experts. Understanding how the role composition - i.e. the distribution of users assuming different roles - of a community affects its health informs community managers with the early indicators of possible reductions or increases in community activity and how the community is expected to change. In this paper we present an approach to analyse communities based on their role compositions. We present a behaviour ontology that captures user behaviour within a given context (i.e. time period and community) and a semantic-rule based methodology to infer the role that a user has within a community based on his/her exhibited behaviour. We describe a method to tune roles for a given community-platform through the use of statistical clustering and discretisation of continuous feature values. We demonstrate the utility of our approach through role composition analyses of the SAP Community Network by: a) gauging the differences between communities, b) predicting community activity increase/decrease, and c) performing regression analysis of the post count within each community. Our findings indicate that communities on the SAP Community Network differ in terms of their average role percentages and experts, while being similar to one another in terms of the dominant role in each community - being a novice user. The findings also indicate that an increase in expert users who ask questions and initiate discussions was associated with increased community activity and that for 23 of the 25 communities analysed we were able to accurately detect a decrease in community activity using the community’s role composition.

Monday, April 30, 2012

Journal of Web Semantics, v14

Five new research papers from volume 14 (2012) are available on the Journal of Web Semantics preprint server.  Three make up a special issue on the Messiness of the Web of Data edited by Stefan Schlobach and Craig Knoblock:
The remaining two papers in volume 14 are regular research submissions:

Sunday, March 25, 2012

CFP: Special Issue on Data Linking, Journal of Web Semantics

Call for Paper
Special Issue on Data Linking
Journal of Web Semantics

This special issue of the Journal of Web Semantics focuses on the problem of finding links between datasets published as linked data.

Today the web of data has become a reality. The ever increasing number of datasets published as RDF according to the linked data principles, the support of major search engines, e-commerce sites and social networks give no doubt that the early scenarios of the semantic Web vision will soon become a reality.

The power of the web lies in its networked structure, in the connections between the resources it contains. Similarly, linked data enable the interlinking of data resources so that databases become interconnected and the information they contain become part of a huge distributed database. The transformation of the Web from a “Web of documents” into a “Web of data”, as well as the availability of large collections of sensor generated data (“Internet of Things”), is leading to a new generation of Web applications based on the integration of both data and services. At the same time, new data are published every day out of user generated contents and public Web sites.

This emergence of the Web of data raises many challenges, such as the need of comparing and matching data with the goal of resolving the multiplicity of data references to the same real-world objects and of finding useful and relevant similarities and correspondences among data. The Web needs techniques and tools for the discovery of data links, and a suitable theory for the understanding and definition of the data links meaning.

About data links, one of the most important goals is to provide means to ensure that the interconnection between data is effective. The design of algorithms, methodologies, languages and tools that provide more efficient and automated ways to link data is essential for the growth of the Web of data rather than a set of disjoint data islands.

While the problems of entity resolution have been studied in the database community for a long time, the Web of data environment presents new important challenges at different levels. Large volumes of data and the variety of repositories which have to be processed rise the need for scalable linking techniques which require minimal user involvement. On the other hand, in cases where user configuration effort is required, there is a need for tools to be usable by non-experts in the domain.

Given that published data links can be used by automatic reasoning tools, it is important to capture the meaning of links in a precise way. Since quality of automatically generated links can vary, their provenance and reliability have to be modelled in an explicit way. Finally, to capture and compare the reliability of different tools and techniques, there is a need for evaluation methods for automatic data linking approaches.


  • Automating the process of finding links between Web datasets
  • Scaling data linking algorithms
  • Representation and interpretation of links
  • Providing efficient user interfaces and interaction methods
  • Modeling and reasoning on links trust and provenance information

Topics of Interest

The topics of interest for this special issue include but are not
limited to the following.
  • data linking tools and frameworks
  • techniques for automated data linking
  • data similarity measures
  • similarity spreading measures
  • schema-based similarity measures
  • candidate dataset selection and datasets similarity measures
  • statistical analysis techniques
  • semi-supervised, learning-based data linking methods
  • optimization methods for computing similarity
  • web data sampling techniques
  • identity representation and semantics
  • reasoning on links, link propagation
  • user interaction for link elicitation and validation
  • provenance and trust models on links
  • methods for link quality assessment
  • innovative applications using links
  • evaluation of data linking techniques and tools

Important Dates

We will review papers on a rolling basis as they are submitted and explicitly encourage submissions well before the final deadline.

  • 1 15 June: submission deadline
  • 1 September: initial decisions and notifications
  • 1 October: major/minor revisions due
  • 1 November: final minor revisions due
  • 1 December: final decisions and notifications
  • 1 January: preprints available publication in 2013

Instructions for submission

Please see the author guidelines for detailed instructions before you submit. Submissions should be conducted through Elsevier’s Electronic Submission System. See the Journal of Web Semantics Web page for general information and the  the JWS Guide for Authors for details on the submission process.


Wednesday, February 1, 2012

JWS special issue: reasoning with context in the Semantic Web, v12 (2012)

Volume 12 of the Journal of Web Semantics is a special issue on special lssue on reasoning with context in the Semantic Web edited by Jos Lehmann, Ivan Jose Varzinczak and Alan Bundy. Its ten articles shed direct or indirect light on the role of context in Semantic Web theories and applications. Preprints of the papers are now available on the Journal of Web Semantics preprint sever.

Monday, January 30, 2012

Journal of Web Semantics, volume 11, 2012

Preprints from the Journal of Web Semantics, volume 11 (2012)

Saturday, January 28, 2012

JWS special issue on scalability, v10 (2012)

Volume 10 of the Journal of Web Semantics is a Special Issue on Scalability edited by Jeff Heflin and Heiner Stuckenschmidt. Preprints from the issue, which includes a short introduction and four research papers, are available on the Journal of Web Semantics preprint server: