Text Mining from Categorized Stem Cell Documents to Infer Developmental Stage-Specific Expression and Regulation Patterns of Stem Cells

Park, Hyun-Seok; Kim, Min Kyung; Choi, Eun Jeong; Seol, Young Joo

doi:10.1007/11428817_35

Cited by 2 publications

(3 citation statements)

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“…Metadata add structured information that make a document easier to handle for a computer, whereas text mining makes the computer capable of handling unstructured data. For instance, STEMWAY is a text mining tool that was capable of extracting a general model out of a host of stem cell documents (Park et al, 2005). TAKMI (Text Analysis and Knowledge Mining) is a text mining tool for the identification of patterns in questions received by helpdesk call-centers (Nasukawa & Nagano, 2001).…”

Section: Text Mining -Automating Correctnessmentioning

confidence: 99%

“…For each lemma, text mining of the relevant scientific literature supplemented with featured articles in Wikipedia provides the general pattern or semantic structure (cf. the stem cell model of Park et al, 2005) that a given Web page should provide about a topic. The difference or tension between the reference ontology and the specific page indicates the accuracy (are the proper concepts used in the proper relations?)…”

Section: A Combination Of Techniquesmentioning

confidence: 99%

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Web Intelligence for the Assessment of Information Quality: Credibility, Correctness, and Readability

Hoorn¹,

Wijngaarden²

2010

Web Intelligence and Intelligent Agents

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Section: Text Mining -Automating Correctnessmentioning

confidence: 99%

Section: A Combination Of Techniquesmentioning

confidence: 99%

Web Intelligence for the Assessment of Information Quality: Credibility, Correctness, and Readability

Hoorn¹,

Wijngaarden²

2010

Web Intelligence and Intelligent Agents

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Section: Text Mining -Automating Correctnessmentioning

confidence: 99%

Web Intelligence and Intelligent Agents

Usmani¹

2010

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Entitites or computer programs that learn from their environment and can act based on what they have learned can be defined as intelligent agents. These agents can be as simple as triggering an alarm in case of a fire or as complex as human beings. Intelligent agents and their applications to solve real-world problems are getting smarter and diversified day by day. Whether it is an autonomous intelligent agent working for ambient intelligence, or a rational agent mining the trends of a stock market, a bot to negotiate an online bid, or a virtual customer to buy books for you, one can see the applications and use of intelligent agents everywhere.This age of information overload and ever-growing contents creation on world-wide-web with millions of pages per day presents some unique problems such as real-time recommendations, data mining, abstracting useful information, and search optimization based on ones' unique profile etc. Intelligent agents with their ability to work with humongous amount of datausually fed by social networks and services like twitter and blogs -, scalability, robustness, and capability to learn from the environment makes them a promising candidate to solve these problems.

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Text Mining from Categorized Stem Cell Documents to Infer Developmental Stage-Specific Expression and Regulation Patterns of Stem Cells

Cited by 2 publications

References 1 publication

Web Intelligence for the Assessment of Information Quality: Credibility, Correctness, and Readability

Web Intelligence for the Assessment of Information Quality: Credibility, Correctness, and Readability

Web Intelligence and Intelligent Agents

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