Framing serendipitous information‐seeking behavior for facilitating literature‐based discovery: A proposed model
01 Mar 2014-Journal of the Association for Information Science and Technology (John Wiley & Sons, Ltd)-Vol. 65, Iss: 3, pp 501-512
TL;DR: The Interaction Flow in Serendipitous Knowledge Discovery (IF‐SKD) model is a theoretical structure that accommodates iterative, evolving search interests, and can potentially serve as the foundation for future literature‐based discovery applications.
Abstract: Several researchers have studied serendipitous knowledge discovery in information-seeking behavior. Electronic data in the form of semantic predications have a potential role in literature-based discovery, which can be guided by serendipitous knowledge discovery research findings. We sought to model information-seeking behavior within the context of serendipitous knowledge discovery by leveraging existing research. These efforts were done with an eye for a potential literature-based discovery application that utilizes semantic predications. We performed a literature search, reviewed the results, and applied the findings in developing a model for serendipitous knowledge discovery as an information-seeking behavior. The literature review indicated four important themes in serendipitous knowledge discovery: iteration, change or clarification, a seeker's prior knowledge, and the role of information organization and presentation. The Interaction Flow in Serendipitous Knowledge Discovery (IF-SKD) model includes these themes, and accommodates iterative, evolving search interests. Output can be presented in a manner to enhance short-term memory conceptualization and connections with prior knowledge. Although the IF-SKD model is currently a theoretical structure, its utility is demonstrated through replicating a literature-based discovery event, using a documented search method within the model's steps. The IF-SKD model can potentially serve as the foundation for future literature-based discovery applications.
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02 Apr 2005TL;DR: The Extended Abstracts portion of this disc includes submissions from all conference venues except Papers, and a formal record of the discussions, demonstrations, and debates that will occur during the conference.
Abstract: On behalf of the Technical Program Committee, welcome to the CHI 2005 conference DVD! The Extended Abstracts portion of this disc includes submissions from all conference venues except Papers (which you can find in the Conference Proceedings section). Here you will find a formal record of the discussions, demonstrations, and debates that will occur during the conference. Highlights include:
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Cites background or methods from "Framing serendipitous information‐s..."
...As suggested in an earlier paper [9], a future evaluation of the application could include the following questions:...
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...In an earlier project, we analyzed the findings of other scientists’ prior research in SKD, within the context of a potential online application [9]....
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...The Interaction Flow in Serendipitous Knowledge Discovery (IF-SKD) maps the SKD process within electronic environments [9]....
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16,176 citations
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TL;DR: The information deviation between any two finite measures cannot be increased by any statistical operations (Markov morphisms) and is invarient if and only if the morphism is sufficient for these two measures as mentioned in this paper.
Abstract: The information deviation between any two finite measures cannot be increased by any statistical operations (Markov morphisms). It is invarient if and only if the morphism is sufficient for these two measures
5,228 citations
"Framing serendipitous information‐s..." refers methods in this paper
...The Combo algorithm that drives Dynamic summarization uses the Kullback-Leibler Divergence (Kullback & Leibler, 1951) to assess predicate values, Riloff’s RlogF metric (Riloff, 1996) to appraise values of the semantic types or classes of arguments, and PredScal, a scaling metric designed for Combo....
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Proceedings Article•
01 Jan 2001TL;DR: MetaMap as discussed by the authors is a system developed at the National Library of Medicine (NLM) to map biomedical text to the UMLS Metathesaurus or, equivalently, to discover METAThesaurus concepts referred to in text.
Abstract: The UMLS Metathesaurus, the largest thesaurus in the biomedical domain, provides a representation of biomedical knowledge consisting of concepts classified by semantic type and both hierarchical and non-hierarchical relationships among the concepts. This knowledge has proved useful for many applications including decision support systems, management of patient records, information retrieval (IR) and data mining. Gaining effective access to the knowledge is critical to the success of these applications. This paper describes MetaMap, a program developed at the National Library of Medicine (NLM) to map biomedical text to the Metathesaurus or, equivalently, to discover Metathesaurus concepts referred to in text. MetaMap uses a knowledge intensive approach based on symbolic, natural language processing (NLP) and computational linguistic techniques. Besides being applied for both IR and data mining applications, MetaMap is one of the foundations of NLM's Indexing Initiative System which is being applied to both semi-automatic and fully automatic indexing of the biomedical literature at the library.
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"Framing serendipitous information‐s..." refers background in this paper
...Diminished sleep quality is a significant problem in older adults, and roughly half experience it (Foley et al., 1995)....
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TL;DR: The UMLS project and current developments in high-speed, high-capacity international networks are converging in ways that have great potential for enhancing access to biomedical information.
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1,273 citations