- From: Stefan Dietze <dietze@l3s.de>
- Date: Tue, 26 Aug 2014 12:35:36 +0200
- To: Public LOD community <public-lod@w3.org>, "semantic-web@w3.org" <semantic-web@w3.org>
[Apologies for cross-posting] - Special issue on DATASET PROFILING AND FEDERATED SEARCH FOR LINKED DATA of the INTERNATIONAL JOURNAL ON SEMANTIC WEB AND INFORMATION SYSTEMS (IJSWIS) - => Special issue website at http://www.ijswis.org/?q=node/51 => Submission by 8 December 2014 INTRODUCTION *************** While the Web of Data, and in particular Linked Data, has seen tremendous growth over the past years, take-up, usage and reuse of data is still limited and is often focused on well-known reference datasets. The main obstacles preventing users from obtaining relevant, correct and up-to-date information from distributed LOD datasets is the lack of scalable and usable methods for formulating and distributing semantic and keyword queries across the Web of Data. This problem is further alleviated by the lack of trust in the quality of search results retrieved using federated search over distributed third party data. Hence, dataset and endpoint selection and discovery are inherent challenges for query distribution. These are currently hindered by the lack of trust-worthy and up-to-date information about the nature, characteristics, currentness and suitability of particular datasets for a given task. Given the heterogeneous and large-scale context of LOD, state-of-the-art semantic and keyword search techniques for structured data face increased query ambiguity and scalability problems already in single-source search scenarios. In the federated search scenarios for LOD, dataset selection and adoption of queries to the respective schemas used poses even further challenges. As the Linked Open Data (LOD) Cloud includes data from a variety of domains spread across hundreds of datasets containing billions of entities and facts and is constantly evolving, manual assessment of dataset features is not feasible or sustainable, leading to brief and often outdated dataset metadata. That is, for instance, apparent with the DataHub (http://datahub.io), the largest dataset registry for open datasets in general and LOD in particular. Hence, given the dynamic and evolving nature of the LOD Cloud, particular focus should be on the development of scalable automated approaches, which facilitate the frequent assessment and profiling of large-scale datasets to enable the selection of suitable datasets for query federation. TOPICS ********* The main areas of interest of this special issue include: I) Dataset/endpoint analysis, profiling and discovery: * query routing taking into account relevance and quality of distributed datasets * dataset profile representation (vocabularies, schemas) * novel applications and techniques for dataset profiling * automated approaches to dataset analysis and exploration * analysis/monitoring of dataset and graph dynamics * topic profiling of datasets * dataset and graph preservation * assessment of dataset evolution * assessment of dataset schema conformance and evolution * dataset quality analysis for query routing * assessment of data evolution and change propagation * automatic and semi-automatic data linking II) Distributed semantic search: * federated search for Linked Data * semantic annotation and expansion for keyword queries * keyword query interpretation and disambiguation for Linked Data * graph-based keyword search * multilingual search * categorization of keyword query interpretations and results, faceted search * fusing, cleaning, ranking and refining search results * scalability & performance of distributed data queries * novel applications for federated search over Linked Data SUBMISSIONS ************* Submissions to this special issue should follow the journal's guidelines. Initial submission should be made as a PDF document via Easychair at https://easychair.org/conferences/?conf=ijswisdp2014. Please include, in accordance with the journal's guidelines, 5-10 keywords, to assist both with indexing and reviewer selection. If a submission is based on a prior conference or workshop publication, the journal submission must demonstrate substantial differences/improvement. For such an extended manuscript, please explicitly cite previous publications on which the current submission is based, along with a note explaining the main differences/improvements. KEY DATES *********** Submission deadline: 8 December 2014 Notification: 8 April 2015 Revisions due: 22 May 2015 Estimated publication: Q3/Q4 2015 GUEST EDITORS *************** Elena Demidova, L3S Research Center, Germany Stefan Dietze, L3S Research Center, Germany Julian Szymański, Gdańsk University of Technology, Poland John Breslin, NUI Galway, Ireland Contact for further information: ijswisdp2014@easychair.org.
Received on Tuesday, 26 August 2014 10:37:33 UTC