| 1. |
- Alonso, O.a, et al.
(author)
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Seventh workshop on exploiting semantic annotations in information retrieval (ESAIR’14)
- 2014
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In: CIKM 2014 - Proceedings of the 2014 ACM International Conference on Information and Knowledge Management. - New York, NY, USA : Association for Computing Machinery (ACM). - 9781450325981 ; , s. 2094-2095
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Conference paper (peer-reviewed)abstract
- There is an increasing amount of structure on the Web as a result of modern Web languages, user tagging and annotation, emerging robust NLP tools, and an ever growing volume of linked data. These meaningful, semantic, annotations hold the promise to significantly enhance information access, by enhancing the depth of analysis of today’s systems. The goal of the ESAIR’14 workshop remains to advance the general research agenda on this core problem, with an explicit focus on one of the most challenging aspects to address in the coming years. The main remaining challenge is on the user’s side-the potential of rich document annotations can only be realized if matched by more articulate queries exploiting these powerful retrieval cues-and a more dynamic approach is emerging by exploiting new forms of query autosuggest. How can the query suggestion paradigm be used to encourage searcher to articulate longer queries, with concepts and relations linking their statement of request to existing semantic models? How do entity results and social network data in "graph search" change the classic division between searchers and information and lead to extreme personalization-are you the query? How to leverage transaction logs and recommendation, and how adaptive should we make the system? What are the privacy ramifications and the UX aspects-how to not creep out users?
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| 2. |
- Alonso, O., et al.
(author)
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Foreword
- 2014
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In: ESAIR 2014 - Proceedings of the 7th International Workshop on Exploiting Semantic Annotations in Information Retrieval, co-located with CIKM 2014. - : Association for Computing Machinery (ACM).
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Conference paper (peer-reviewed)
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| 3. |
- Bennett, Paul, et al.
(author)
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Report on the Sixth Workshop on Exploiting Semantic Annotations in Information Retrieval (ESAIR '13)
- 2014
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In: SIGIR Forum. - : Association for Computing Machinery (ACM). - 0163-5840 .- 1558-0229. ; 48:1, s. 13-20
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Journal article (peer-reviewed)abstract
- There is an increasing amount of structure on the web as a result of modern web languages, user tagging and annotation, emerging robust NLP tools, and an ever growing volume of linked data. These meaningful, semantic, annotations hold the promise to significantly enhance information access, by enhancing the depth of analysis of today's systems. Currently, we have only started exploring the possibilities and only begin to understand how these valuable semantic cues can be put to fruitful use.ESAIR'13 focuses on two of the most challenging aspects to address in the coming years. First, there is a need to include the currently emerging knowledge resources (such as DBpedia, Freebase) as underlying semantic model giving access to an unprecedented scope and detail of factual information. Second, there is a need to include annotations beyond the topical dimension (think of sentiment, reading level, prerequisite level, etc) that contain vital cues for matching the specific needs and profile of the searcher at hand.There was a strong feeling that we made substantial progress. Specifically, the discussion contributed to our understanding of the way forward. First, emerging large scale knowledge bases form a crucial component for semantic search, providing a unified framework with zillions of entities and relations. Second, in addition to low level factual annotation, non-topical annotation of larger chunks of text can provide powerful cues on the expertise of the search and (un)suitability of information. Third, novel user interfaces are key to unleash powerful structured querying enabled by semantic annotation|the potential of rich document annotations can only be realized if matched by more articulate queries exploiting these powerful retrieval cues|and a more dynamic approach is emerging by exploiting new forms of query autosuggest.
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| 4. |
- Hansen, Preben, et al.
(author)
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A Use Case Framework for Information Access Evaluation
- 2014
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In: Professional Search in the Modern World. - Cham : Springer. - 9783319125107 - 9783319125114 ; , s. 6-22
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Book chapter (peer-reviewed)abstract
- Information access is no longer only a question of retrieving topical text documents in a work-task related context. Information search has become one of the most common uses of the personal computers; a daily task for millions of individual users searching for information motivated by information needs they experience for some reason, momentarily or continuously. Instead of professionally edited text documents, multilingual and multimedia content from a variety of sources of varying quality needs to be accessed. Even the scope of the research efforts in the field must therefore be broadened to better capture the mechanisms for the systems’ impact, take-up and success in the marketplace. Much work has been carried out in this direction: graded relevance, and new evaluation metrics, more varied document collections used in evaluation and different search tasks evaluated. The research in the field is however fragmented. Despite that the need for a common evaluation framework is widely acknowledged, such framework is still not in place. IR system evaluation results are not regularly validated in Interactive IR or field studies; the infrastructure for generalizing Interactive IR results over tasks, users and collections is still missing. This chapter presents a use case-based framework for experimental design in the field of interactive information access. Use cases in general connect system design and evaluation to interaction and user goals, and help identifying test cases for different user groups of a system. We suggest that use cases can provide a useful link even between information access system usage and evaluation mechanisms and thus bring together research from the different related research fields. In this chapter we discuss how use cases can guide the developments of rich models of users, domains, environments, and interaction, and make explicit how the models are connected to benchmarking mechanisms. We give examples of the central features of the different models. The framework is highlighted by examples that sketch out how the framework can be productively used in experimental design and reporting with a minimal threshold for adoption.
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| 5. |
- Henkel, Martin, et al.
(author)
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Language technology for eGovernment - business cases
- 2014
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In: New Perspectives in Information Systems and Technologies, Volume 1. - Cham : Springer. - 9783319059501 ; , s. 83-95, s. 83-95
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Conference paper (peer-reviewed)abstract
- Language technologies and tools, such as text mining, information extraction, and question and answering systems, have been developed during many years. These technologies are becoming mature and should be ready for deployment in private and public organizations. However, little focus has been paid to how these technologies can be applied to tackle real-world problems within organizations. In this paper, we present a set of business cases where language technologies can have a significant impact on public organizations, including their business processes and services. We describe how each business case can influence the service quality, as seen from a consumer perspective, and the business processes efficiency, as seen from a public organizational perspective. The business cases are based on, and exemplified with, cases from large Swedish public organizations.
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| 6. |
- Karlgren, Jussi, et al.
(author)
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Semantic Topology
- 2014
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In: Proceedings of the 23d ACM international conference on Conference on information & knowledge management (CIKM '14). - New York : Association for Computing Machinery (ACM). - 9781450325981 ; , s. 1939-1942
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Conference paper (peer-reviewed)abstract
- A reasonable requirement (among many others) for a lexical or semantic component in an information system is that it should be able to learn incrementally from the linguistic data it is exposed to, that it can distinguish between the topical impact of various terms, and that it knows if it knows stuff or not.We work with a specific representation framework – semantic spaces – which well accommodates the first requirement; in this short paper, we investigate the global qualities of semantic spaces by a topological procedure – mapper – which gives an indication of topical density of the space; we examine the local context of terms of interest in the semantic space using another topologically inspired approach which gives an indication of the neighbourhood of the terms of interest. Our aim is to be able to establish the qualities of the semantic space under consideration without resorting to inspection of the data used to build it.
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| 7. |
- Karlgren, Jussi
(author)
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Språket avslöjar hur vi röstar
- 2014
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In: Språktidningen. - 1654-5028. ; :6, s. 16-22
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Journal article (pop. science, debate, etc.)abstract
- Hur ser det politiska opinionsläget ut? Det går förstås att fråga väljarna. Men bättre är kanske att se vad de skriver. Nu är ett datorprogram väljarnas sympatier på spåren.
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