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BACKGROUND Literature-based discovery (LBD) is characterized by uncovering hidden associations in non-interacting scientific literature. Prior approaches to LBD include use of: (1) domain expertise and structured background knowledge to manually filter and explore the literature, (2) distributional statistics and graph-theoretic measures to rank interesting(More)
OBJECTIVES This paper presents a methodology for recovering and decomposing Swanson's Raynaud Syndrome-Fish Oil hypothesis semi-automatically. The methodology leverages the semantics of assertions extracted from biomedical literature (called semantic predications) along with structured background knowledge and graph-based algorithms to semi-automatically(More)
OBJECTIVES The role of social media in biomedical knowledge mining, including clinical, medical and healthcare informatics, prescription drug abuse epidemiology and drug pharmacology, has become increasingly significant in recent years. Social media offers opportunities for people to share opinions and experiences freely in online communities, which may(More)
We present ideas for determining the expertise of researchers across various areas of computer science and for finding relevant experts/reviewers in a peer-review setting. We explain how Semantic Web techniques for data collection and data representation using ontologies can be used in addressing this specific " ExpertFinder " problem.
The interaction paradigm offered by most contemporary Web Information Systems is a <i>search-and-sift</i> paradigm in which users manually seek information using hyperlinked documents. This paradigm is derived from a document-centric model that gives users minimal support for scanning through high volumes of text. We present a novel information exploration(More)
We present an application for analyzing temporal and spatial interaction in an Association Network environment based on integrating Global Positioning Systems (GPS) Data, RDF Metadata and Data Mining. We argue that GPS data contains important information about relationships between people, through location and time, and can ultimately provide ideas about(More)
AIMS Many websites provide a means for individuals to share their experiences and knowledge about different drugs. Such User-Generated Content (UGC) can be a rich data source to study emerging drug use practices and trends. This study examined UGC on extra-medical use of loperamide among illicit opioid users. METHODS A website that allows for the free(More)
• Complex domain specific search requires richer models to be more effective. • Structured knowledge and intelligible constructs together can enhance query interpretation. • A hybrid search platform is more effective for practical domain specific information needs. a b s t r a c t While contemporary semantic search systems offer to improve classical(More)
—The ability to connect the dots in structured background knowledge and also across scientific literature has been demonstrated as a critical aspect of knowledge discovery. It is not unreasonable therefore to expect that connecting-the-dots across massive amounts of healthcare data may also lead to new insights that could impact diagnosis, treatment and(More)
This chapter highlights the benefits of semantics for analysis of the collaboration network in a bibliography dataset. The metadata of publications can be used for extracting keywords and terms, which can be the starting point towards building a taxonomy of topics. The aggregated effect of all publications of an author can determine his/her areas of(More)