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ESAIR '15: Proceedings of the Eighth Workshop on Exploiting Semantic Annotations in Information Retrieval
ACM2015 Proceeding
Publisher:
  • Association for Computing Machinery
  • New York
  • NY
  • United States
Conference:
CIKM'15: 24th ACM International Conference on Information and Knowledge Management Melbourne Australia 23 October 2015
ISBN:
978-1-4503-3790-8
Published:
22 October 2015
Sponsors:
Bibliometrics
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Abstract

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 The final program includes 4 regular, 2 position, and 3 demo papers (one contribution was withdrawn).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.

Skip Table Of Content Section
SESSION: Keynote
invited-talk
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 ...

invited-talk
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 ...

SESSION: Interactions and Roles
research-article
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 ...

research-article
Open Access
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 ...

research-article
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 ...

research-article
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 ...

SESSION: Evaluation Metrics
research-article
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 ...

research-article
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 ...

DEMONSTRATION SESSION: Demo Session
research-article
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 ...

research-article
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 ...

research-article
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 ...

Contributors
  • Google, Trondheim
  • Google LLC
  • La Rochelle University
  • Max Planck Institute for Informatics

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Acceptance Rates

ESAIR '15 Paper Acceptance Rate10of19submissions,53%Overall Acceptance Rate35of55submissions,64%
YearSubmittedAcceptedRate
ESAIR '15191053%
ESAIR '14151173%
ESAIR '13211467%
Overall553564%