What is text, really?

DeRose, Steven J.; Durand, David; Mylonas, Elli; Renear, Allen H.

doi:10.1007/bf02941632

Cited by 91 publications

(23 citation statements)

References 4 publications

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“…A basic requirement of narratives is that they be coherent and one indispensable part of coherence is ordered hierarchical structure. For text-based bibliographic resources like books and other text-based documents, this hierarchical structure can be generally modeled using the Ordered Hierarchy of Content Objects (OHCO) model (DeRose et al 1990). Under the OHCO model, documents are modeled as discrete chunks of content that are arranged in a hierarchy.…”

Section: Ordermentioning

confidence: 99%

What is a Series, Really? .

Jett¹,

Humpal²,

Charles³

et al. 2017

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He employs formal methods to examine issues in the conceptual foundations of information access, organization, and retrieval, especially with regards to web and data semantics, knowledge representation, ontology development, and the creation of conceptual and data models. He is currently working on his dissertation proposal which examines how aggregates are described in library-centric conceptual models and vocabularies. Nathan Humpal has been a Catalog and Metadata Librarian at the University of Wisconsin-Milwaukee (UWM) since 2013, and was previously employed as a Metadata Librarian at the University of Alabama. He earned his Master of Library and Information Science from UWM in 2009. He has helped promote and operate the Digital Humanities Lab at UWM, including organizing Serious Play, a lecture series dedicated to the academic study of games. Valentine Charles works as a Data Research and Development coordinator at Europeana Foundation. She consults the Europeana Network on data practices and standards and communicates Europeana's R&D activities to the broader cultural heritage sector. She also coordinates the further development and adoption of the Europeana Data Model (EDM). Valentine has chaired and co-chaired various working groups in the EuropeanaTech community such as the Task Force on Recommendations for the Representation of Hierarchical Objects in Europeana. More recently, she became the Co-Chair of the Dublin Core Metadata Initiative (DCMI) Technical Board and Community Specification Committee.

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Section: Ordermentioning

confidence: 99%

What is a Series, Really? .

Jett¹,

Humpal²,

Charles³

et al. 2017

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“…DeRose et al (1990) examined various document modeling approaches that deal with the textual content of a document, and claimed that the approach of treating text as an ordered hierarchy of content objects (OHCO) was better than other approaches in terms of its information retrieval functions and capabilities for data integrity. DeRose et al (1990) examined various document modeling approaches that deal with the textual content of a document, and claimed that the approach of treating text as an ordered hierarchy of content objects (OHCO) was better than other approaches in terms of its information retrieval functions and capabilities for data integrity.…”

Section: Document Modeling and Extensible Markup Language (Xml)mentioning

confidence: 99%

Semi-automated identification of construction safety requirements using ontological and document modeling techniques

Wang

2015

Can. J. Civ. Eng.

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Construction safety is important in the domains of architecture, engineering and construction. However, studies have rarely discussed safety issues from the perspectives of employers or employees' ignorance of safety requirements. A novel approach with modeling and reasoning functionalities is applied for semi-automated identification of safety requirements from construction safety standards. The proposed approach is based on ontological modeling and document modeling techniques. These techniques model safety concepts and requirements in semantically-rich, human-readable and computer-interpretable format. These features further enable reasoning about the concepts and requirements needed to identify applicable safety requirements. Test cases are used to validate the approach and illustrate its advantages. Validation results are discussed, and conclusions and directions for future research are given. The proposed approach can benefit construction safety by improving participants' awareness of safety requirements.indicated that safety regulations that mandate the use of preventive measures can help prevent many accidents. Therefore, complying with construction safety requirements can be regarded as a fundamental practice that promotes construction safety. However, retrospective or proactive safety-related studies seldom emphasize the significance of safety regulations or discuss how to identify applicable safety requirements.Additionally, Laurence (2005) claimed that when safety requirements are not identified, project participants may be unaware of safe behaviors, resulting in occupational hazards and possibly leading to fatalities, injuries, and illnesses.However, many sources of information about safety requirements exist, such as the federal government, state and city governments, the employer's own company, and trade associations (Brauer 1990). As different sources provide different safety requirements, identifying the safety requirements which are applicable to an activity is both cumbersome and time-consuming, and careful review and identification of applicable safety requirements may be hindered many safety requirement sources.Although some safety databases are available, such as the Canadian enviroOSH Legislation plus Standards (Canadian Centre for Occupational Health and Safety 2013), and allow for keyword-based searches for safety requirements, simply using keywords to search for applicable requirements is ineffective. Keyword-based searches are often too general or too specific, such that documents which are not of

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“…This assumption is often referred to as the OHCO-thesis (ordered hierarchy of content objects, cf. [7]). This point of view, however, does not hold for text data, especially not for linguistic analyses of language data (cf.…”

Section: Modelling Multi-level Annotationsmentioning

confidence: 99%

“…Due to its simple syntax and extensive standard library, fast software development is possible. 7 The output of the script is a Prolog database. The resulting Prolog facts encode both the XML tree structure and the sequential ordering of elements with respect to the primary data.…”

Section: Implementation Of the Translation From Xml To Prologmentioning

confidence: 99%

Methods for the semantic analysis of document markup

Bayerl¹,

Lüngen²,

Goecke³

et al. 2003

Proceedings of the 2003 ACM Symposium on Document Engineering - DocEng '03

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We present an approach on how to investigate what kind of semantic information is regularly associated with the structural markup of scientific articles. This approach addresses the need for an explicit formal description of the semantics of text-oriented XML-documents. The domain of our investigation is a corpus of scientific articles from psychology and linguistics from both English and German online available journals. For our analyses, we provide XML-markup representing two kinds of semantic levels: the thematic level (i.e. topics in the text world that the article is about) and the functional or rhetorical level. Our hypothesis is that these semantic levels correlate with the articles' document structure also represented in XML. Articles have been annotated with the appropriate information. Each of the three informational levels is modelled in a separate XML document, since in our domain, the different description levels might conflict so that it is impossible to model them within a single XML document. For comparing and mining the resulting multi-layered XML annotations of one article, a Prolog-based approach is used. It focusses on the comparison of XML markup that is distributed among different documents. Prolog predicates have been defined for inferring relations between levels of information that are modelled in separate XML documents. We demonstrate how the Prolog tool is applied in our corpus analyses.

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What is text, really?

Cited by 91 publications

References 4 publications

What is a Series, Really? .

What is a Series, Really? .

Semi-automated identification of construction safety requirements using ontological and document modeling techniques

Methods for the semantic analysis of document markup

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