[InetBib] Call for Papers: Aslib Proceedings Special Issue on Semantic Search

[Dirk Lewandowski <dirk.lewandowski@xxxxxxxxxxxxxx>]

Call for Papers on Semantic Search in ASLIB Proceedings
Journal call for papers from Aslib Proceedings
Semantic Search and Linked Open Data Special Issue

This special issue aims to explore the possibilities and limitations of 
Semantic Search. This issue will be jointly guest edited by Professor  Dr. 
Ulrike Spree, Hamburg University of Applied Sciences, Germany  and Fran 
Alexander, BCA Research, Inc, Montreal, Canada. We are looking for articles on:

The opportunities and challenges of Semantic Search from theoretical and 
practical, conceptual and empirical perspectives. We are particularly 
interested in papers that place carefully conducted studies into the wider 
framework of current Semantic Search research in the broader context of Linked 
Open Data. Topics of interest include but are not restricted to:

        • The history of semantic search -  the latest techniques and 
technology developments in the last 1000 years
        • Technical approaches to semantic search : linguistic/NLP, 
probabilistic, artificial intelligence, conceptual/ontological
        • Current trends in Semantic Search, including best practice, early 
adopters, and cultural heritage
        • Usability and user experience; Visualisation; and techniques and 
technologies in the practice for Semantic Search
        • Quality criteria and Impact of norms and standardisation similar to 
ISO 25964 “Thesauri for information retrieval“
        • Cross-industry collaboration and standardisation
        • Practical problems in brokering consensus and agreement - defining 
concepts, terms and classes, etc
        • Curation and management of ontologies
        • Differences between web-scale, enterprise scale, and 
collection-specific scale techniques
        • Evaluation of Semantic Search solutions, including comparison of data 
collection approaches
        • User behaviour including evolution of norms and conventions; 
Information behaviour; and Information literacy
        • User surveys; usage scenarios and case studies
Papers should clearly connect their studies to the wider body of Semantic 
Search scholarship, and spell out the implications of their findings for future 
research. In general, only research-based submissions including case studies 
and best practice will be considered. Viewpoints, literature reviews or general 
reviews are generally not acceptable.

Schedule and submissions
Paper submission: 15 December 2013
Notice of review results: 15 February 2014
Revisions due: 31 March 2014
Publication: Aslib Proceedings, issue 5, 2014.

        • Please contact the guest editors Dr. Ulrike Spree or Fran Alexander 
if you need more guidance before submitting your paper
        • All papers should follow the publisher's style and format , go here 
for information on using Scholar One to submit your paper
When submitting please ensure to complete the box "How did you hear about this 
journal?" and quote reference: APJCALL10


About the journal:
http://www.emeraldinsight.com/products/journals/journals.htm?id=ap


More about  the special issue topic
Research into Semantic Search and its applications has gained momentum over the 
last few years, with an increasing number of studies on general principles, 
proof of concept and prototypical applications. The market for Semantic Search 
applications and its role within the general development of (internet) 
technologies and its impact on different areas of private and public life have 
attracted attention. Simultaneously, many publicly funded projects in the field 
of cultural heritage were initialised. Researchers in many disciplines have 
been making progress in the establishment of both theories and methods for 
Semantic Search. However, there still is a lack of comparison across individual 
studies as well as a need for standardisation regarding the dissociation of 
Semantic Search of other search solutions, agreed upon definitions as well as 
technologies and interfaces.

Semantic Search research is often based on large and rich data sets and a 
combination of techniques ranging from statistical bag of words approaches and 
natural-language-processing enriched via a subtle utilisation of metadata over 
classificatory approaches right up to ontological reasoning. Over the last 10 
years a lot of initial technical and conceptual obstacles in the field of 
Semantic Search have been overcome. After the initial euphoria for Semantic 
Search that resulted in a technically driven supply of search solutions, 
appraisal of successful and less successful approaches is needed. Amongst other 
things the limitations of working with open world solutions on – only 
apparently comprehensive – linked open data sets compared to small domain 
specific solutions need to be determined.
One ongoing challenge for semantic search solutions is their usability and user 
acceptance, as only highly usable walk-up-and-use-approaches stand a chance in 
the field of general search.



--
Prof. Dr. Dirk Lewandowski
Hochschule für Angewandte Wissenschaften Hamburg 
(Hamburg University of Applied Sciences)

Fakultät Design Medien Information
Department Information
Finkenau 35
D - 22081 Hamburg
Germany
Tel.: +49 (0) 40-42875 3621
Fax: + 49 (0) 3222-1445 301
Skype: dirk.lewandowski
Twitter: @Dirk_Lew
http://www.bui.haw-hamburg.de/lewandowski.html

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Editor, ASLIB Proceedings
http://www.emeraldinsight.com/journals.htm?issn=0001-253X

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Recent book: Web Search Engine Research
http://www.amazon.com/Search-Research-Library-Information-Science/dp/1780526369


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