BibTeX

@inProceedings{eklund-2012-prepositions-166505,
	title        = {Are prepositions and conjunctions necessary in health web searches?},
	abstract     = {People searching for information via public health web sites may differ in medical knowledge and internet experience. Hence, they may show different search behaviour with implications for both search engine optimisation and log analysis. In this paper we address the question of how prepositions and conjunctions are used in search, concluding that they do occur in different contexts, but do not impact a semantic mapping for query optimisation and analysis.},
	booktitle    = {Proceedings of SLTC 2012 The Fourth Swedish Language Technology Conference},
	author       = {Eklund, Ann-Marie},
	year         = {2012},
	pages        = {23--24},
}

@inProceedings{eklund-2012-query-166507,
	title        = {Why Query Annotations May Help in Providing Accurate Public Health Information},
	abstract     = {The mobility era has highlighted the importance of information providers to better understand the needs of the infor- mation seekers, even when the user interaction becomes less verbose. This is even more important in contexts like health care, where an understanding of the users’ language and intentions is critical to provide accurate health information. To study the used language we utilize an annotation-based method to analyze if the seekers’ language deviates from the health care professionals’, and the one found in medical terminologies and information sources. By an analysis of the use of a major public Swedish health information portal we present, in our opinion, a surprising overlap in the language used by laymen and professionals, thereby supporting the use of terminology-based annotation to facilitate improved information retrieval in this setting.},
	booktitle    = {ESAIR'12: Proceedings of the fifth workshop on Exploiting Semantic Annotations in Information Retrieval, 2012 Maui, Hawaii, USA},
	author       = {Eklund, Ann-Marie},
	year         = {2012},
	ISBN         = {978-1-4503-1717-7},
}

@inProceedings{eklund-kokkinakis-2012-drug-165309,
	title        = {Drug interests revealed by a public health portal},
	abstract     = {Online health information seeking has become an important part of people's everyday lives. However, studies have shown that many of those have problems forming effective queries. In order to develop better support and tools for assisting people in health-related query formation we have to gain a deeper understanding into their information seeking behaviour in relation to key issues, such as medication and drugs. The present study attempts to understand the semantics of the users' information needs with respect to medication-related information. Search log queries from the Swedish 1177.se health portal were automatically annotated and categorized according to relevant background knowledge sources. Understanding the semantics of information needs can enable optimization and tailoring of (official) health related information presented to the online consumer, provide better terminology support and thematic coding of the queries and in the long run better models of consumers’ information needs.
},
	booktitle    = {Proceedings of the SLTC-Workshop: Exploratory Query-log Analysis. Lund, Sweden.},
	author       = {Eklund, Ann-Marie and Kokkinakis, Dimitrios},
	year         = {2012},
	pages        = {2},
}

@inProceedings{henriksson-etal-2012-synonym-162812,
	title        = {Synonym extraction of medical terms from clinical text using combinations of word space models},
	abstract     = {In information extraction, it is useful to know if two signifiers have the same or very similar semantic content. Maintaining such information in a controlled vocabulary is, however, costly. Here it is demonstrated how synonyms of medical terms can be extracted automatically from a large corpus of clinical text using distributional semantics. By combining Random Indexing and Random Permutation, different lexical semantic aspects are captured, effectively increasing our ability to identify synonymic relations between terms. 44% of 340 synonym pairs from MeSH are success- fully extracted in a list of ten suggestions. The models can also be used to map abbreviations to their full-length forms; simple pattern-based filtering of the suggestions yields substantial improvements.},
	booktitle    = {5th International Symposium on Semantic Mining in Biomedicine (SMBM), 3rd-4th September, 2012, Zurich},
	author       = {Henriksson, Aron and Moen, Hans and Skeppstedt, Maria and Eklund, Ann-Marie and Daudaravicius, Vidas and Hassel, Martin},
	year         = {2012},
	volume       = {2012},
	pages        = {10--17},
}

@inProceedings{eklund-2012-tracking-162805,
	title        = {Tracking changes in search behaviour at a health web site},
	abstract     = {Nowadays, the internet is used as a means to provide the public with official information on many different topics, including health related matters and care providers. In this work we have studied a search log from the official Swedish health web site 1177.se for patterns of search behaviour over time. To improve the analysis, we mapped the queries to UMLS semantic types and MeSH categories. Our analysis shows that, as expected, diseases and health care activities are the ones of most interest, but also a clear increased interest in geographical locations in the setting of health care providers. We also note a change over time in which kinds of diseases are of interest. Finally, we conclude that this type of analysis may be useful in studies of what health related topics matter to the public, but also for design and follow-up of public information campaigns.},
	booktitle    = {Quality of life through quality of information, XXIV Conference of the European Federation for Medical Informatics, 2012 Pisa},
	author       = {Eklund, Ann-Marie},
	year         = {2012},
	volume       = {2012},
	ISBN         = {978-1-61499-100-7},
	pages        = {858--862},
}

@inProceedings{oelke-etal-2012-visual-155495,
	title        = {Visual Analytics and the Language of Web Query Logs - A Terminology Perspective},
	abstract     = {This paper explores means to integrate natural language processing methods for terminology and entity identification in medical web session logs with visual analytics techniques. The aim of the study is to examine whether the vocabulary used in queries posted to a Swedish regional health web site can be assessed in a way that will enable a terminologist or medical data analysts to instantly identify new term candidates and their relations based on significant co-occurrence patterns. We provide an example application in order to illustrate how the visualizations of co-occurrence relationships between medical and general entities occurring in such logs can be visualized, accessed and explored. To enable a visual exploration of the generated co-occurrence graphs, we employ a general purpose social network analysis tool, Visone (http://visone.info), that permits to visualize and analyze various types of graph structures. Our examples show that visual analytics based on co-occurrence analysis provides insights into the use of layman language in relation to established (professional) terminologies, which may help terminologists decide which terms to include in future terminologies. Increased understanding of the used querying language is also of interest in the context of public health web sites. The query results should reflect the intentions of the information seekers, who may express themselves in layman language that differs from the one used on the available web sites provided by medical professionals.},
	booktitle    = {The 15th EURALEX International Congress (European Association of Lexicography). Oslo, Norway.},
	author       = {Oelke, Daniela and Eklund, Ann-Marie and Marinov, Svetoslav and Kokkinakis, Dimitrios},
	year         = {2012},
	pages        = {8},
}