1. Articles in category: Semantic

    3961-3984 of 4097 « 1 2 ... 163 164 165 166 167 168 169 170 171 »
    1. A workflow for mutation extraction and structure annotation.

      Related Articles A workflow for mutation extraction and structure annotation. J Bioinform Comput Biol. 2007 Dec;5(6):1319-37 Authors: Kanagasabai R, Choo KH, Ranganathan S, Baker CJ Rich information on point mutation studies is scattered across heterogeneous data sources. This paper presents an automated workflow for mining mutation annotations from full-text biomedical literature using natural language processing (NLP) techniques as well as for their subsequent reuse in protein structure annotation and visualization. This system, called mSTRAP (Mutation extraction and STRucture Annotation Pipeline), is designed for both information aggregation and subsequent brokerage of the mutation annotations. It facilitates the coordination ...
      Read Full Article
    2. Fuzzy Systems

      Fuzzy Systems Content Type Book ChapterDOI 10.1007/978-1-84628-839-5_5Authors Toshinori Munakata, Cleveland State University Computer and Information Science Department Cleveland OH 44115 USA Book Series Texts in Computer Science Book Fundamentals of the New Artificial IntelligenceDOI 10.1007/978-1-84628-839-5Online ISBN 978-1-84628-839-5Print ISBN 978-1-84628-838-8
      Read Full Article
    3. Introduction

      Introduction Content Type Book ChapterDOI 10.1007/978-1-84628-839-5_1Authors Toshinori Munakata, Cleveland State University Computer and Information Science Department Cleveland OH 44115 USA Book Series Texts in Computer Science Book Fundamentals of the New Artificial IntelligenceDOI 10.1007/978-1-84628-839-5Online ISBN 978-1-84628-839-5Print ISBN 978-1-84628-838-8
      Read Full Article
    4. Workflow Composition: Semantic Representations for Flexible Automation

      Many different kinds of users may need to compose scientific workflows for different purposes. This chapter focuses on the requirements and challenges of scientific workflow composition. They are motivated by our work with two particular application domains: physics-based seismic hazard analysis (Chapter 10) and data-intensive natural language processing [238]. Our research on workflow creation spans fully automated workflow generation (Chapter 23) using artificial intelligence planning techniques for assisted workflow composition [237,276] by combining semantic representations of workflow components with formal properties of correct workflows. Other projects have used similar techniques in different domains to support workflow composition through planning ...
      Read Full Article
      Mentions: London
    5. Application of Translation Corresponding Tree (tct) Annotation Schema for Chinese to Portuguese Machine Translation

      In Example Based Machine Translation (EBMT) research, there are three main approaches: Surface Based, Pattern Based and Structure Based approach. In Structure Based EBMT system, such as SSTC approach [1], it has a problem that it relies on two syntax parsers to analyze the translation examples, but robust syntax parsers are not always available. On the other hand, Chinese and Portuguese belong to two different language families and there exist grammatical deviation problem between them. In order to resolve the weakness of the Structure Based EBMT system and linguistic problems between Chinese and Portuguese, Tang and Wong [2] propose a ...
      Read Full Article
      Mentions: Macau
    6. Overcoming Data Sparseness Problem in Statistical Corpus Based Sense Disambiguation

      The problem of data sparseness is considered as a common problem for Statistical Corpus based Sense Disambiguation approaches [1]. Usually large amounts of data are required in the corpus to guarantee that all senses of an ambiguous word are presented. However, this is not easily achieved, especially for words that do not occur frequently in the training corpus. On the other hand, for languages that do not have large amount of digitized resources, the sparseness problem is even worse. In this paper, we present an unsupervised framework that first learns the relationships between the ambiguous and related words to reveal ...
      Read Full Article
    7. Online Learning of Relaxed CCG Grammars for Parsing to LogicalForm.

      Online Learning of Relaxed CCG Grammars for Parsing to Logical Form Luke S. Zettlemoyer and Michael Collins MIT CSAIL lsz@csail.mit.edu,mcollins@csail.mit.edu Abstract We consider the problem of learning to parse sentences to lambda-calculus representations of their underlying semantics and present an algorithm that learns a weighted combinatory categorial grammar (CCG). A key idea is to introduce non-standard CCG combinators that relax certain parts of the grammar—for example allowing flexible
      Read Full Article
    8. Thinking, Visual Thinking, and Shape Understanding

      Thinking is the process that is connected with mental activities of our brain. We often say “I think that... ” to indicate that our judgment is the result of thinking process. In the past thinking was highly praised and in some cultures thinkers (philosophers) had a very big influence on the development of culture and life of people. Philosophers played an important role in the development of the philosophical thinking and understanding of the real-world phenomena. Cartesian statement “cogito ergo sum” refers to thinking and it indicates the ontological status of the thinking process. Today scientists from different areas of sciences ...
      Read Full Article
      Mentions: Heidelberg
    9. A semantic web approach applied to integrative bioinformatics experimentation: a biological use case with genomics data.

      Related Articles A semantic web approach applied to integrative bioinformatics experimentation: a biological use case with genomics data. Bioinformatics. 2007 Nov 15;23(22):3080-7 Authors: Post LJ, Roos M, Marshall MS, van Driel R, Breit TM MOTIVATION: The numerous public data resources make integrative bioinformatics experimentation increasingly important in life sciences research. However, it is severely hampered by the way the data and information are made available. The semantic web approach enhances data exchange and integration by providing standardized formats such as RDF, RDF Schema (RDFS) and OWL, to achieve a formalized computational environment. Our semantic web-enabled data integration ...
      Read Full Article
    10. Leveraging the structure of the Semantic Web to enhance information retrieval for proteomics.

      Related Articles Leveraging the structure of the Semantic Web to enhance information retrieval for proteomics. Bioinformatics. 2007 Nov 15;23(22):3073-9 Authors: Smith A, Cheung K, Krauthammer M, Schultz M, Gerstein M MOTIVATION: Proteomics researchers need to be able to quickly retrieve relevant information from the web and the biomedical literature. To improve information retrieval, we leverage the structure of the semantic web, developing an approach for joining it with the largely opposing paradigm of unsupervised web search. RESULTS: Our approach uses a Resource-Description-Framework (RDF) graph that inter-relates documents through their associated biological identifiers (e.g., protein ID). A ...
      Read Full Article
    11. Statistical Machine Translation Using Labeled Semantic Dependency Graphs.

      Statistical Machine Translation Using Labeled Semantic Dependency Graphs Anthony Aue; Arul Menezes; Robert Moore; Chris Quirk; Eric Ringger October 2004 Available Documents: PDF 120K We present a series of models for doing statistical machine translation based on labeled semantic dependency graphs. We describe how these models were employed to augment an existing example-based MT system, and present results showing that doing so led to a significant improvement in translation quality as measured
      Read Full Article
    12. Applications of Evolutionary Algorithms

      Applications of Evolutionary Algorithms Content Type Book ChapterDOI 10.1007/978-3-540-75382-7_6Authors S. Sumathi, PSG College of Technology Coimbatore IndiaT. Hamsapriya, PSG College of Technology Coimbatore IndiaP. Surekha, PSG College of Technology Coimbatore India Book Evolutionary IntelligenceDOI 10.1007/978-3-540-75382-7Online ISBN 978-3-540-75382-7Print ISBN 978-3-540-75158-8
      Read Full Article
    13. Specific Circumstances on the Ability of Linguistic Feature Extraction Based on Context Preprocessing by ICA

      Blind Signal Separation (BSS) based on Independent Component Analysis (ICA) is an emerging approach which application is not limited to the signal processing research, where its application principle is rather straight forward. For an increasing amount of information processing fields, ICA has meaningful application which are still undiscovered. The aim of this paper is to investigate the ability of linguistic feature extraction based on word context preprocessing by ICA. The work refers to a first brief analysis in which ICA was applied to an English corpus. We continue this analysis depending on the number of components and the amount of ...
      Read Full Article
    14. e-Science and biological pathway semantics.

      Related Articles e-Science and biological pathway semantics. BMC Bioinformatics. 2007;8 Suppl 3:S3 Authors: Luciano JS, Stevens RD BACKGROUND: The development of e-Science presents a major set of opportunities and challenges for the future progress of biological and life scientific research. Major new tools are required and corresponding demands are placed on the high-throughput data generated and used in these processes. Nowhere is the demand greater than in the semantic integration of these data. Semantic Web tools and technologies afford the chance to achieve this semantic integration. Since pathway knowledge is central to much of the scientific research today ...
      Read Full Article
    15. AlzPharm: integration of neurodegeneration data using RDF.

      Related Articles AlzPharm: integration of neurodegeneration data using RDF. BMC Bioinformatics. 2007;8 Suppl 3:S4 Authors: Lam HY, Marenco L, Clark T, Gao Y, Kinoshita J, Shepherd G, Miller P, Wu E, Wong GT, Liu N, Crasto C, Morse T, Stephens S, Cheung KH BACKGROUND: Neuroscientists often need to access a wide range of data sets distributed over the Internet. These data sets, however, are typically neither integrated nor interoperable, resulting in a barrier to answering complex neuroscience research questions. Domain ontologies can enable the querying heterogeneous data sets, but they are not sufficient for neuroscience since the data ...
      Read Full Article
    16. LinkHub: a Semantic Web system that facilitates cross-database queries and information retrieval in proteomics.

      Related Articles LinkHub: a Semantic Web system that facilitates cross-database queries and information retrieval in proteomics. BMC Bioinformatics. 2007;8 Suppl 3:S5 Authors: Smith AK, Cheung KH, Yip KY, Schultz M, Gerstein MK BACKGROUND: A key abstraction in representing proteomics knowledge is the notion of unique identifiers for individual entities (e.g. proteins) and the massive graph of relationships among them. These relationships are sometimes simple (e.g. synonyms) but are often more complex (e.g. one-to-many relationships in protein family membership). RESULTS: We have built a software system called LinkHub using Semantic Web RDF that manages the graph ...
      Read Full Article
    17. Towards Semantic e-Science for Traditional Chinese Medicine.

      Related Articles Towards Semantic e-Science for Traditional Chinese Medicine. BMC Bioinformatics. 2007;8 Suppl 3:S6 Authors: Chen H, Mao Y, Zheng X, Cui M, Feng Y, Deng S, Yin A, Zhou C, Tang J, Jiang X, Wu Z BACKGROUND: Recent advances in Web and information technologies with the increasing decentralization of organizational structures have resulted in massive amounts of information resources and domain-specific services in Traditional Chinese Medicine. The massive volume and diversity of information and services available have made it difficult to achieve seamless and interoperable e-Science for knowledge-intensive disciplines like TCM. Therefore, information integration and service coordination ...
      Read Full Article
    18. Evaluation of high-throughput functional categorization of human disease genes.

      Related Articles Evaluation of high-throughput functional categorization of human disease genes. BMC Bioinformatics. 2007;8 Suppl 3:S7 Authors: Chen JL, Liu Y, Sam LT, Li J, Lussier YA BACKGROUND: Biological data that are well-organized by an ontology, such as Gene Ontology, enables high-throughput availability of the semantic web. It can also be used to facilitate high throughput classification of biomedical information. However, to our knowledge, no evaluation has been published on automating classifications of human diseases genes using Gene Ontology. In this study, we evaluate automated classifications of well-defined human disease genes using their Gene Ontology annotations and compared ...
      Read Full Article
    19. A novel method of language modeling for automatic captioning in TC video teleconferencing.

      Related Articles A novel method of language modeling for automatic captioning in TC video teleconferencing. IEEE Trans Inf Technol Biomed. 2007 May;11(3):332-7 Authors: Zhang X, Zhao Y, Schopp L We are developing an automatic captioning system for teleconsultation video teleconferencing (TC-VTC) in telemedicine, based on large vocabulary conversational speech recognition. In TC-VTC, doctors' speech contains a large number of infrequently used medical terms in spontaneous styles. Due to insufficiency of data, we adopted mixture language modeling, with models trained from several datasets of medical and nonmedical domains. This paper proposes novel modeling and estimation methods for the ...
      Read Full Article
      Mentions: Columbia
    3961-3984 of 4097 « 1 2 ... 163 164 165 166 167 168 169 170 171 »
  1. Categories

    1. Default:

      Discourse, Entailment, Machine Translation, NER, Parsing, Segmentation, Semantic, Sentiment, Summarization, WSD
  2. Popular Articles

  3. Organizations in the News

    1. (1 articles) Northwestern University
    2. (1 articles) Association for Computing Machinery
    3. (1 articles) Umls
    4. (1 articles) Digital Library
    5. (1 articles) New York Times
    6. (1 articles) IBM
    7. (1 articles) RDF
  4. Locations in the News

    1. (1 articles) Cuban
    2. (1 articles) Farsi
    3. (1 articles) Amazon