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1st KEYSTONE training school: Keyword Search on Big Data

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1st Keystone Training School:
Keyword Search over Big Data
Malta, 20-24 July 2015
http://keystone.opendatamalta.org/
The 1st KEYSTONE Summer School is one of the key objectives of the KEYSTONE COST Action IC1302 (http://www.keystone-cost.eu).
The summer school’s main theme is that of Keyword Search over Big Data and will be  a research-training event for graduates and postgraduates in the first steps of their academic career. It aims at giving participants in-depth exposure to the exciting and fast-developing areas related to Keyword Search over Big Data. The school will be held in Malta between the 20th and 24th of July and will consist of keynote talks, lectures and hands-on sessions delivered by renowned academics and experts in the fields of Big Data mining, Semantic Web, information retrieval and other related areas. During the sessions the speakers will explore a large spectrum of current exciting research, development and innovation related to various research areas and society itself.
The list of topics includes:
i. Ontologies and their use in Information Retrieval
ii. Large scale and high dimensional issues in data indexing, processing and mining
iii. Data provenance and quality
iv. Text Representation for data mining
v. Search, exploration and analytics of evolving data
vi. Compression techniques and linked data
The school is being organized by the Department of Intelligent Computer Systems in the Faculty of ICT (http://www.um.edu.mt/ict) within the University of Malta in collaboration with KEYSTONE. As an event organized by a COST Action, the school does not require any registration fees. Nevertheless, the participation is subject to registration: a limited numbers of seats will be made available. A limited number of grants -500 EUR-  will be available to a number of eligible participants (approximately 20 MSc/MPhil/PhD students and Early Career Investigator – to 8 years after receiving the PhD).
If you need further assistance please do not hesitate to contact the organizers: Charlie Abela (charlie.abela@um.edu.mt) Joel Azzopardi (joel.azzopardi@um.edu.mt)
The registration is now open: http://keystone.opendatamalta.org/

Special Issue of Transactions on Computational Collective Intelligence journal on Keyword Search and Big Data

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Journal page: http://www.springer.com/computer/lncs/transactions+cci?SGWID=0-173802-0-0-0
The simplicity with which users can publish content nowadays has made the Web the world’s largest database. Keyword-based search has become the de-facto standard for information discovery in this ocean of data, mainly due to its simplicity that makes it attractive to technically novice users. To answer keyword queries, existing search engines rely on effective indexes of the content that allow them to return the documents that best match the user’s search criteria. This generally leaves out the structure of the data, its semantic dimension, as well as the social aspects to which it may relate. We believe that, in order to exploit the full potential of the Web, structured and rich data will have to receive the same search and retrieve capabilities as the text data from Web documents. However, due to their highly structured nature, the rich semantics, and the data structures by which they are typically managed, a great deal of issues needs to be studied. As the problem is in general of a multifaceted nature, it requires synergies from many different disciplines.
Broad areas of interest include, but are not limited to:
• Semantic web, semantic similarity, semantic data management, semantic disambiguation, semantic indexing;
• Social Web and social media;
• Interface design, user interaction, natural language processing;
• Data cleansing, data fusion, data quality, data integration, probabilistic data matching;
• Benchmarking, ranking;
• Artificial intelligence, machine learning;
• Metadata management, schema matching;
• Deep Web, provenance, information retrieval, database summarisation
• Context-aware web applications;
• Knowledge / ontology self-management and evolution;
• Semantic Web and emotional intelligence;
• Enabling everything-as-a-user.
Submission Guidelines
Papers should follow the LNCS format and should be no less than 15 pages and no more than 45. The submission should be done on the TCCI online submission system http://senldogo0039.springer-sbm.com/TCCI/servlet/Conference by selecting the option Special Issue for SDSW 2014.
• 

Important Dates
• Submission deadline: April 5th, 2015
Special Issue Guest Editors
• Paulo Rupino da Cunha, University of Coimbra,
• Omar Boucelma, LSIS, Aix-Marseille University
• Bogdan Cautis, University of Paris-Sud
• Yannis Velegrakis, University of Trento
The special issue is supported by the KEYSTONE COST action on keyword search.

Surfacing the Deep and the Social Web (SDSW 2015)

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The simplicity with which users can publish content nowadays has made the Web the world’s largest data source. Keyword-based search has become the de-facto standard for information discovery in this ocean of data, mainly due to its simplicity that makes it attractive to technically novice users. To answer keyword queries, existing search engines rely on effective indexes of the content that allow them to return the documents that best match the user’s search criteria. This generally leaves out the structure of the data, its semantic dimension, as well as the social aspects to which it may relate. We believe that, in order to exploit the full potential of the Web, structured and rich data will have to receive the same search and retrieve capabilities as the text data from Web documents. However, due to their highly structured nature, the rich semantics, and the data structures by which they are typically managed, a great deal of issues needs to be studied. As the problem is in general of a multifaceted nature, it requires synergies from many different disciplines.
Broad areas of interest include, but are not limited to:
• Semantic web, semantic similarity, semantic data management, semantic disambiguation, semantic indexing;
• Social Web and social media;
• Keyword search over encrypted data, privacy preserving keyword search ,
• Keyword search on graphs and linked data;
• Interface design, user interaction, exploratory search, natural language processing;
• Data cleansing, data fusion, data quality, data integration, probabilistic data matching;
• Benchmarking, ranking;
• Artificial intelligence, machine learning;
• Metadata management, schema matching;
• Deep Web, provenance, information retrieval, database summarization
• Context-aware web applications;
• Knowledge / ontology self-management and evolution;
• Semantic Web and emotional intelligence;
• Enabling everything-as-a-user.
Program Chairs
– Paulo Rupino da Cunha, University of Coimbra,
– Ngoc Thanh Nguyen, Wroclaw University of Technology,
– Omar Boucelma, LSIS, Aix-Marseille University
– Bogdan Cautis, University of Paris-Sud
– Yannis Velegrakis, University of Trento
Important Dates
– Submission date: March 6, 2015
– Author notifications: April 3, 2015
– Camera-ready proceedings: April 17, 2015
 
Program Committee
– Sabeur Aridhi
– Ivan Bedini
– Mohand Boughanem
– Siarhei Bykau
– Catarina Ferreira
– Paulo Gomes
– Francesco Guerra
– Oktie Hassanzadeh
– Jason J. Jung
– Anastasios Kementsietsidis
– Yannis Kotidis
– Matteo Lissandrini
– Alice Marascu
– Davide Mottin
– Dimitra Papadimitriou
– Genoveva Vargas Solar
– Dezhao Song

Call for the organization of the first KEYSTONE Open Conference

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According to the Work and Budget Plan for 2015, the KEYSTONE COST Action will organize the first KEYSTONE Open Conference in Coimbra (PT) at the beginning of September 2015. The Management Committee of the Action decided to open a call to select the team in charge of the organization of the conference, its specific topic, and the “structure” of the event.
The KEYSTONE WG members interested in the organization of the event should send their proposal via email to francesco.guerra@unimore.it by Feb 15.
The applications will be evaluated by the KEYSTONE MC and the applicants will be notified by Feb 28.
To support the organization of the proposals a spreadsheet is available in google drive
https://docs.google.com/spreadsheets/d/1wVd_PM-pr-I6pexZ2iqrtfx1Ch-RF0D6wHUpX78kwf4/edit?usp=sharing
If you would like to participate, but you don’t have enough resources to do it alone, then you can collaborate with people in the Keystone WG who would like to be one of the main organizers. In that case, you should write which your availability is and you could be asked to enter in one of the proposal coordinated by other KEYSTONE WG members.
The proposal should include the following details:
1. Organizers / Team
This refers to the General chair, Program chair and the other leading positions needed (apart from the Local Organizer who has been already appointed: Jorge Cardoso, from the University of Coimbra).
The organizers have to be at least from 2 different countries among the ones participating in KEYSTONE http://www.cost.eu/COST_Actions/ict/Actions/IC1302?parties
2. Conference theme and topics addressed
The Conference theme and topics addressed should be consistent with the main objectives of the general theme “keyword search in large amounts of data” decided by the MC for the activities in 2015:
1. Development of techniques and tools for search and analytics;
2. Study of scalable techniques;
3. Application of semantics;
4. Use of open data.
3. Structure of the event
The MC has previously suggested organizing a conference that should not follow the typical research conference “pattern”. The conference should:
a. Couple traditional presentation sessions (to achieve the state of the art and disseminate new techniques) with brainstorming sessions (to promote the discussion, inter/intra domain cross fertilization and enabling new joint research activities among the partners).
b. Promote the participation of industrial partners to provide keynotes about their research needs and possible applicative scenarios.
In this section, the applicants should shortly describe the “structure” of the conference they plan to organize, including the number and features of the presentation sessions, the number and features of the brainstorming sessions, and whether they plan to organize tutorials, keynotes, “competitions”, poster sessions, …
4. Timing
The conference will take place at the beginning of Sep 2015. The applicants should define the timing of the main steps (issuing the call, deadline for the paper submissions, notification, …)
5. Visibility / Dissemination
The proposers should contact a publisher (Springer, CEUR, …) for the publication of the proceedings and the dissemination of the papers.
6. Early Stage Researchers –ESR-
One of the COST policies is related to Early Stage Researchers, who should particularly benefit from a COST Action. Is there any activity addressed for increasing the involvement / participation of ESR?
7. Gender Balance
One of the COST policies is related to Gender Balance. Is there any activity addressed for increasing Gender Balance? Is the proposal (in terms of organizers) balanced?

PROFILES’15: The 2nd International Workshop on Dataset PROFIling & fEderated Search for Linked Data

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CALL FOR PAPERS:
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The 2nd International Workshop on Dataset PROFIling & fEderated Search for Linked Data (PROFILES’15)
Co-located with 12th ESWC Conference (ESWC 2015), May 31 – June 4, 2015.
Venue: Portoroz, Slovenia.
Date: June 1 , 2015
URL: www.keystone-cost.eu/profiles2015/
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The PROFILES’15 workshop aims to gather innovative query and search approaches for large-scale, distributed and heterogeneous linked datasets inline with dedicated approaches to analyse, describe and discover endpoints, as an inherent task of query distribution. PROFILES’15 will equally consider both novel scientific methods and techniques for querying, assessment, profiling, and curation of distributed datasets as well as the application perspective, such as the innovative use of tools and methods for providing structured knowledge about distributed datasets, their evolution and fundamentally, means to search and query the Web of Data. The workshop will provide a highly interactive forum for researchers in the fields of Semantic Web and Linked Data, Databases, Semantic Search, Text Mining, NLP and Information Retrieval.
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The main areas of interest of PROFILES’15 include dataset/endpoint analysis, profiling and discovery along with techniques for distributed semantic search that take such profiles into account. In particular this includes:
Dataset/endpoint analysis, profiling and discovery:

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
assessment of dataset schema conformance and evolution
dataset quality analysis for query routing

Distributed semantic search:

query routing taking into account relevance and quality of distributed datasets
semantic annotation and expansion for keyword queries
keyword query interpretation and disambiguation for Linked Data
fusing, cleaning, ranking and refining search results
scalability & performance of distributed data queries
novel applications for federated search over Linked Data

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IMPORTANT DATES

March 19, 2015 (Extended): Full & short research paper, poster & demo submission deadline
April 3, 2015: Notification of acceptance
April 17, 2015: Camera-ready paper

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SUBMISSION GUIDELINES
We welcome the following types of contributions:

Short (up to 6 pages) and full (up to 15 pages) research papers
Poster abstracts and system demonstrations should not exceed 4 pages

All submissions must be written in English and must be formatted according to the Springer LNCS proceedings style. Each submission will be reviewed by at least 3 members of the PC. Papers will be evaluated according to their significance, originality, technical content, style, clarity, and relevance to the workshop. Please submit your contributions electronically in PDF format via the Easychair system:
https://www.easychair.org/conferences/?conf=profiles2015.
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PROCEEDINGS
The complete set of papers will be published with the CEUR Workshop Proceedings (CEUR-WS.org), listed by the DBLP. The best papers of the workshop will be included in the supplementary proceedings of ESWC 2015, which will appear in the Springer LNCS series.
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WORKSHOP ORGANISERS

Elena Demidova (L3S Research Center, Germany)
Stefan Dietze (L3S Research Center, Germany)
Julian Szymanski (Gdansk University of Technology, Poland)
John Breslin (NUI Galway, Ireland)

(Co-organised by ICT COST Action KEYSTONE, IC1302)
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PROGRAMME COMMITTEE

Charlie Abela, University of Malta, Malta
Alessandro Adamou, The Open University, UK
Marco Antonio Casanova, Pontifical Catholic University of Rio de Janeiro, Brazil
Philippe Cudré-Mauroux, University of Fribourg, Switzerland
Mathieu d’Aquin, The Open University, UK
Enrico Daga, The Open University, UK
Christophe Gueret, Data Archiving Network Services (DANS), NL
Tom Heath, The Open Data Institute (ODI), UK
Laura Hollink, Vrije Universiteit Amsterdam, NL
Markus Luczak-Rösch, University of Southampton, UK
Abdulhussain E. Mahdi, University of Limerick, Ireland
Andreas Nürnberger, Otto-von-Guericke-Universität Magdeburg, Germany
Heiko Paulheim, Mannheim University, Germany
Bernardo Pereira Nunes, PUC-Rio, Brazil
Carlos Pedrinaci, The Open University, UK
Thanassis Tiropanis, University of Southampton, UK
Raquel Trillo Lado, Universidad Zaragoza, Spain
Thomas Gottron, University of Koblenz-Landau, Germany

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CONTACT
For any enquiries, please contact profiles2015@easychair.org.

IJSWIS Special Issue on Dataset Profiling and Federated Search for Linked Data

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Special issue website at: http://www.ijswis.org/?q=node/51
Submission by 10 February 2015

INTRODUCTION
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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
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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
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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
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Submission deadline: 10 February 2015
Notification: 10 June 2015
Revisions due: 22 July 2015
Estimated publication: Q4 2015
GUEST EDITORS
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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.