Hafner CD, Baclawski K, Futrelle RP, Fridman N, Sampath S. Creating a knowledge base of biological research papers. In 2d Inter'l Conf. on Intelligent Systems for Molecular Biology. AAAI Press, Stanford CA. 1994; Home/Search Document Details and Download
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Standardized Representations of the Literature: Combining .. - Altman, Abernethy, Chen (1997) (3 citations) (Correct)
.... understand the key content of scientific articles, and use this information to assist investigators in the formulation and testing of scientific hypotheses[3] For these reasons, there has been interest in developing formal methods for representing, storing and communicating biological knowledge[4]. If the standard bibliographic information can be supplemented with computer readable representations of the experimental system, the protocols used, and the results, then it becomes feasible to create a wide array of applications that use this information. Such applications could support more ....
Hafner, C.D., et al., Creating a knowledge base of biological research papers, in Proceedings of the Second International Conference on Intelligent Systems for Molecular Biology, R. Altman, et al., Editors. 1994, AAAI Press: Menlo Park. p. 147-155.
Developing NLP Tools for Genome Informatics: An.. - Hishiki, Collier, .. (1998) (7 citations) (Correct)
....(SGML) Besides the gene sequences, there are various kinds of information e.g. materials and methods in biological research papers. It has been pointed out that contents of biological research papers are important for the enhancement of knowledge bases, and NLP is one of the key approaches [5]. We think that some measures are necessary to correlate specific linguistic structures in phrases or sentences to biological information they convey is necessary. The purpose of this section is to provide a framework of the document that can bear a variety of additional information generated by ....
Hafner, C.D., Baclawski, K., Futrelle, R.P., Fridman, N., and Sampath, S., Creating a knowledge base of biological research papers, ISMB, 147--155, 1994.
Developing NLP Tools for Genome Informatics: An.. - Hishiki, Collier, Nobata (1998) (7 citations) (Correct)
....(SGML) Besides the gene sequences, there are various kinds of information e.g. materials and methods in biological research papers. It has been pointed out that contents of biological research papers are important for the enhancement of knowledge bases, and NLP is one of the key approaches [5]. We think that some measures are necessary to correlate specific linguistic structures in phrases or sentences to biological information they convey is necessary. The purpose of this section is to provide a framework of the document that can bear a variety of additional information generated by ....
Hafner, C.D., Baclawski, K., Futrelle, R.P., Fridman, N., and Sampath, S., Creating a knowledge base of biological research papers, ISMB, 147--155, 1994.
Principles and Tools for Authoring Knowledge-Rich Documents - Robert Futrelle (1995) (Correct)
....other. These structures contain the knowledge of a specific domain at the conceptual level and are used by the KBATs to analyze the text. Once the semantics of the sentence is determined, one can represent this knowledge in the ontology by creating instances of the general conceptual structures [6]. This knowledge is subsequently used for the intelligent Information Retrieval in Digital Libraries. Objects in the ontology are grouped into classes. Classes can be defined by frames (or any other compatible formalism) and their properties are represented as slots in the frame. Slots, in turn, ....
Hafner, C., et al.: Creating a Knowledge Base of Biological Research Papers. In 2nd Inter'l Conf. on Intelligent Systems for Molecular Biology, Stanford, CA. AAAI Press (1994) 147-155.
Representing Genomic Knowledge in the UMLS Semantic Network - Yu, Friedman, Rhzetsky, Kra (1999) (6 citations) (Correct)
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Hafner CD, Baclawski K, Futrelle RP, Fridman N, Sampath S. Creating a knowledge base of biological research papers. In 2d Inter'l Conf. on Intelligent Systems for Molecular Biology. AAAI Press, Stanford CA. 1994;
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