The publication date is one day earlier then the EST date to provide the proceedings to attendees in Australian on the first day of the conference
It is our great pleasure to welcome you to the Eighth Workshop on Exploiting Semantic Annotations in Information Retrieval (ESAIR'15), held at CIKM 2015 in Melbourne, Australia, on October 23, 2015.
The amount of structured content published on the Web has been growing rapidly, making it possible to address increasingly complex information access tasks. Recent years have witnessed the emergence of large-scale human-curated knowledge bases as well as a growing array of techniques that identify or extract information automatically from unstructured and semi-structured sources. The ESAIR workshop series aims to advance the general research agenda on the problem of creating and exploiting semantic annotations. The eighth edition of ESAIR, with a renewed group of organizers, sets its focus on applications. We dedicate a special "Annotations in Action" track to demonstrations that showcase innovative prototype systems, in addition to the regular research and position paper contributions.
The call for papers attracted a total of 19 submissions, out of which 10 were accepted. The final program includes 4 regular, 2 position, and 3 demo papers (one contribution was withdrawn). In addition, the workshop programme features invited talks by Maarten de Rijke (University of Amsterdam) and Matthew Kelcey (Google, Inc.).
The workshop is intended to be highly interactive to encourage group discussion and active collaboration among attendees. A final discussion session wraps up the event with the objective to identify and formulate specific action items for future research and development. Following the tradition of earlier ESAIR editions, a social event is organized for further, more informal discussions among workshop participants and other CIKM attendees.
Proceeding Downloads
Semantic Entities
Entity retrieval has seen a lot of interest from the research community over the past decade. Ten years ago, the expertise retrieval task gained popularity in the research community during the TREC Enterprise Track [10]. It has remained relevant ever ...
Open and Closed Schema for Aligning Knowledge and Text Collections
When it comes to knowledge bases most people's first thought are structured sources such as Freebase/Wikidata and their relationship to similarly structured web sources such as Wikipedia. A lot of additional and interesting "knowledge" though is ...
Applying Semantic Web Technologies for Improving the Visibility of Tourism Data
Tourism industry is an extremely information-intensive, complex and dynamic activity. It can benefit from semantic Web technologies, due to the significant heterogeneity of information sources and the high volume of on-line data. The management of ...
Contextualizing Data on a Content Management System
Content Management Systems (CMSs) are known for their ability for storing data, both structured and non-structured data. However they are not able to associate meaning and context to the stored information. Furthermore, these systems do not meet the ...
Harnessing Semantics for Answer Sentence Retrieval
Finding answer passages from the Web is a challenging task. One major difficulty is to retrieve sentences that may not have many terms in common with the question. In this paper, we experiment with two semantic approaches for finding non-factoid answers ...
Named Entity Disambiguation for Resource-Poor Languages
Named entity disambiguation (NED) is the task of linking ambiguous names in natural language text to canonical entities like people, organizations or places, registered in a knowledge base. The problem is well-studied for English text, but few systems ...
Knowledge-Driven Video Information Retrieval with LOD: From Semi-Structured to Structured Video Metadata
In parallel with the tremendously increasing number of video contents on the Web, many technical specifications and standards have been introduced to store technical details and describe the content of, and add subtitles to, online videos. Some of these ...
Temporal Reconciliation for Dating Photographs Using Entity Information
Temporal classification of Web contents requires a "notion" about them. This is particularly relevant when contents contain several dates and a human "interpretation" is required in order to chose the appropriate time point. The dating challenge becomes ...
An Interface Sketch for Queripidia: Query-driven Knowledge Portfolios from the Web
We aim to augment textual knowledge resources such as Wikipedia with information from the World Wide Web and at the same time focus on a given information need. We demonstrate a solution based on what we call knowledge portfolios. A knowledge portfolio ...
CADEminer: A System for Mining Consumer Reports on Adverse Drug Side Effects
We introduce CADEminer, a system that mines consumer reviews on medications in order to facilitate discovery of drug side effects that may not have been identified in clinical trials. CADEminer utilises search and natural language processing techniques ...
Hugo: Entity-based News Search and Summarisation
We describe Hugo -- a service initially available on iOS that solicits a structured, semantic query and returns entity-specific news articles. Retrieval is powered by a semantic annotation pipeline that includes named entity linking and automatic ...
Cited By
Wang M and Alonso O ClozeSearch: A Collocation Retrieval Application to Assist in Scientific Writing Proceedings of the 31st ACM International Conference on Information & Knowledge Management, (5009-5013)
Balog K, Dalton J, Doucet A and Ibrahim Y (2016). Report on the Eighth Workshop on Exploiting Semantic Annotations in Information Retrieval (ESAIR '15), ACM SIGIR Forum, 50:1, (49-57), Online publication date: 27-Jun-2016.
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Eighth Workshop on Exploiting Semantic Annotations in Information Retrieval (ESAIR'15)
CIKM '15: Proceedings of the 24th ACM International on Conference on Information and Knowledge ManagementThe amount of structured content published on the Web has been growing rapidly, making it possible to address increasingly complex information access tasks. Recent years have witnessed the emergence of large scale human-curated knowledge bases as well ...



