scholarly journals From Index to Network: Topic Maps in the Enhanced Networked Monographs Project

2019 ◽  
Author(s):  
Alexandra Alisa Provo
Keyword(s):  
Topic Maps ◽  
The Creation ◽  
Topic Map

The Enhanced Networked Monographs (ENM) project was an experimental publishing project funded by The Andrew W. Mellon Foundation and carried out from 2015-2018. Over the course of the project, we developed methods to extract topics from indexes, built tools to curate the result of the integration, and created a platform for reading. This article will discuss the creation of the ENM topic map, a meta-index created by combining many individual back-of-book indexes using the Topic Curation Toolkit.

scholarly journals EXPRESSION AND ORGANIZATION OF GEOGRAPHIC SPATIAL RELATIONS BASED ON TOPIC MAPS

2017 ◽  
Vol XLII-2/W7 ◽  
pp. 1257-1261
Author(s):  
H. J. Liang ◽  
H. Wang ◽  
T. J. Cui ◽  
J. F. Guo
Keyword(s):  
Information Science ◽  
Spatial Database ◽  
Spatial Relation ◽  
Spatial Relations ◽  
Geographical Information ◽  
Knowledge Network ◽  
Effective Management ◽  
Topic Maps ◽  
Complex Knowledge ◽  
Topic Map

Spatial Relation is one of the important components of Geographical Information Science and Spatial Database. There have been lots of researches on Spatial Relation and many different spatial relations have been proposed. The relationships among these spatial relations such as hierarchy and so on are complex and this brings some difficulties to the applications and teaching of these spatial relations. This paper summaries some common spatial relations, extracts the topic types, association types, resource types of these spatial relations using the technology of Topic Maps, and builds many different relationships among these spatial relations. Finally, this paper utilizes Java and Ontopia to build a topic map among these common spatial relations, forms a complex knowledge network of spatial relations, and realizes the effective management and retrieval of spatial relations.

Topic Maps Generation by Text Mining

2011 ◽  
pp. 1979-1984
Author(s):  
Hsin-Chang Yang ◽  
Chung-Hong Lee
Keyword(s):  
Text Mining ◽  
Information Resources ◽  
Information Resource ◽  
Automatic Process ◽  
Specific Information ◽  
Specific Domain ◽  
Topic Maps ◽  
Map Construction ◽  
Human Effort ◽  
Topic Map

Topic maps provide a general, powerful, and user-oriented way to navigate the information resources under consideration in any specific domain. A topic map provides a uniform framework that not only identifies important subjects from an entity of information resources and specifies the resources that are semantically related to a subject, but also explores the relations among these subjects. When a user needs to find some specific information on a pool of information resources, he or she only needs to examine the topic maps of this pool, select the topic that seems interesting, and the topic maps will display the information resources that are related to this topic, as well as its related topics. The user will also recognize the relationships among these topics and the roles they play in such relationships. With the help of the topic maps, you no longer have to browse through a set of hyperlinked documents and hope that you may eventually reach the information you need in a finite amount of time, while knowing nothing about where to start. You also don’t have to gather some words and hope that they may perfectly symbolize the idea you’re interested in, and be well-conceived by a search engine to obtain reasonable result. Topic maps provide a way to navigate and organize information, as well as create and maintain knowledge in an infoglut. To construct a topic map for a set of information resources, human intervention is unavoidable at the present time. Human effort is needed in tasks such as selecting topics, identifying their occurrences, and revealing their associations. Such a need is acceptable only when the topic maps are used merely for navigation purposes and when the volume of the information resource is considerably small. However, a topic map should not only be a topic navigation map. The volume of the information resource under consideration is generally large enough to prevent the manual construction of topic maps. To expand the applicability of topic maps, some kind of automatic process should be involved during the construction of the maps. The degree of automation in such a construction process may vary for different users with different needs. One person may need only a friendly interface to automate the topic map authoring process, while another may try to automatically identify every component of a topic map for a set of information resources from the ground up. In this article, we recognize the importance of topic maps not only as a navigation tool but also as a desirable scheme for knowledge acquisition and representation. According to such recognition, we try to develop a scheme based on a proposed text-mining approach to automatically construct topic maps for a set of information resources. Our approach is the opposite of the navigation task performed by a topic map to obtain information. We extract knowledge from a corpus of documents to construct a topic map. Although currently the proposed approach cannot fully construct the topic maps automatically, our approach still seems promising in developing a fully automatic scheme for topic map construction.

Ontology Frames for IT Courseware Representation

2003 ◽  
pp. 1-11 ◽  
Author(s):  
Witold Abramowicz ◽  
Marek Kowalkiewicz ◽  
Piotr Zawadzki
Keyword(s):  
New Technology ◽  
Knowledge Exchange ◽  
User Profiles ◽  
Corporate Environment ◽  
Topic Maps ◽  
Technology Skill ◽  
Topic Map

This chapter introduces topic maps and skill maps technologies as a framework for storing courseware and relevant user profiles. It is a result of research being conducted on creating a knowledge exchange platform for the corporate environment. It briefly describes topic maps and skill maps – a new concept developed by the authors. It then proposes applying ontology frames to latter technologies. The proposition is followed by specification of a proposed solution. This solution is used in the Knowledge e-Marketplace for a Courseware Distribution project that is being developed at The Poznan University of Economics, Poland. The project’s target is to integrate traditional e-Marketplace with topic map technology and to introduce a new technology – skill maps – for representing an individual employee’s knowledge. There is a need to create common ontology frames for topic maps and skill maps in order to coherently represent knowledge and knowledge profiles.

Translation between RDF and Topic Maps: Divide and Translate

2009 ◽  
Author(s):  
Christo Dichev ◽  
Darina Dicheva ◽  
Boriana Ditcheva ◽  
Mike Moran
Keyword(s):  
The Novel ◽  
Topic Maps ◽  
Data Translation ◽  
The Right ◽  
Key Aspects ◽  
Topic Map

This paper addresses the issue of sharing and integrating data across RDF and Topic Map representations. The novel aspect of tackling the RDF - Topic Maps interoperability problem is the attempt to identify the right balance between the following key aspects: (i) semantics-preserving data translation; (ii) completeness of the translation; (iii) pragmatics and usability of the translation. The proposed strategy towards achieving this goal is based on exploiting the ontological correspondence between RDF and Topic Maps. The design focus is placed on a translation respecting the meaning and the readability of the RDF - Topic Maps translation. The paper analyzes the feasibility of the interoperability task, presents some requirements derived from this analysis, and proposes a method for RDF - Topic Maps translation. The proposed method is implemented as a plug-in of the TM4L topic maps editor.

Spreadsheets - 90+ million End User Programmers With No Comment Tracking or Version Control

2015 ◽  
Author(s):  
Patrick Durusau ◽  
Sam Hunting
Keyword(s):  
Human Error ◽  
Reference Model ◽  
Business Case ◽  
List Type ◽  
Business Decisions ◽  
Software Application ◽  
Material Defects ◽  
Topic Maps ◽  
The World ◽  
Topic Map

Stephen Gandel's Damn Excel! How the 'most important software application of all time' is ruining the world is NOT an indictment of Excel. It is an indictment of the inability to: link spreadsheets to emails track relationships between cells and between cells and formulas track comments on spreadsheet errors have versioning for cell contents/formulas Without those capabilities, spreadsheets are dangerous to their authors and others. How dangerous you ask? A short list of horror stories would include: 2013, the "London Whale," JPMorgan Chase, lost £250 million; 2013, error in calculation of international Government debt to GDP ratios; 2012, JPMorgan Chase loses $6.2 billion due to a spreadsheet formula error; 2011, MF Global collapses, in part due to the use of spreadsheets to track assets and liabilities; 2010, US Federal Reserve, spreadsheet error on calculation of $4 billion in Consumer Revolving Credit. The EuSpRIG Horror Stories page has a generous sampling of more spreadsheet horror stories. Statistically speaking, F1F9 estimates: 88% of all spreadsheets have errors in them, while 50% of spreadsheets used by large companies have material defects, resulting in loss of time and money, damaged reputations, lost jobs and disrupted careers. If that weren't bad enough, other research indicates that 33% of all bad business decisons are traceable to spreadsheet errors. That's right, 33% of all bad business decisions. That's a business case looking for a solution. Yes? Disclaimer: Topic maps, even a legend based on the Topic Maps Reference Model, ISO/IEC 13250-5 (2015), cannot magically prevent fraud, stupidity or human error. Topic maps can enable the modeling of relationships within spreadsheets, create comment tracking on errors/spreadsheets, even when the comments are in emails, and explore the subject identities and merging practices required for content level versioing of spreadsheets. Our goal is to empower you to detect fraud, stupidity and human error. On the technical side, we will analyze real world spreadsheets, determine subjects to be represented and how to identify them, create a legend that will constrain the representatives of subjects (using ordinary XML tools), create a topic map of an actual spreadsheet and review our results against the known requirements to improve auditing of spreadsheets. The auditing process itself will be shown to be auditable.

Topic Maps Generation by Text Mining

2011 ◽  
pp. 1130-1134
Author(s):  
Hsin-Chang Yang ◽  
Chung-Hong Lee
Keyword(s):  
Text Mining ◽  
Search Engine ◽  
Information Resources ◽  
User Needs ◽  
Specific Information ◽  
Specific Domain ◽  
Topic Maps ◽  
Finite Amount ◽  
Reasonable Result ◽  
Topic Map

Topic maps provide a general, powerful, and user-oriented way to navigate the information resources under consideration in any specific domain. A topic map provides a uniform framework that not only identifies important subjects from an entity of information resources and specifies the resources that are semantically related to a subject, but also explores the relations among these subjects. When a user needs to find some specific information on a pool of information resources, he or she only needs to examine the topic maps of this pool, select the topic that seems interesting, and the topic maps will display the information resources that are related to this topic, as well as its related topics. The user will also recognize the relationships among these topics and the roles they play in such relationships. With the help of the topic maps, you no longer have to browse through a set of hyperlinked documents and hope that you may eventually reach the information you need in a finite amount of time, while knowing nothing about where to start. You also don’t have to gather some words and hope that they may perfectly symbolize the idea you’re interested in, and be well-conceived by a search engine to obtain reasonable result. Topic maps provide a way to navigate and organize information, as well as create and maintain knowledge in an infoglut.

scholarly journals Putting it all in context

2009 ◽  
Author(s):  
Andrew Townley ◽  
Sanida Omerovic ◽  
Peter F. Brown
Keyword(s):  
Information Sharing ◽  
Large Scale ◽  
The Internet ◽  
Specific Topic ◽  
Topic Maps ◽  
Massive Scale ◽  
Topic Map

Two major concerns in creating large-scale Topic Maps applications are: first, the role and capture of context within a specific topic map, and second, how the Topic Maps paradigm - specifically the XTM specification - allows the linking and efficient use of Topic Maps deployed on a massive scale, such as the Internet, to support extremely large-scale information sharing. These two subjects initially seem to be separate concerns. However, upon reflection and further discussion, it is clear that they are intertwined and closely related to the issue of scalability.

TM-Builder: An Ontology Builder based on XML Topic Maps

2018 ◽  
Vol 7 (2) ◽  
Author(s):  
Giovani Rubert Librelotto ◽  
Jose Carlos Ramalho ◽  
Pedro Rangel Henriques
Keyword(s):  
Information Resources ◽  
Huge Number ◽  
Topic Maps ◽  
Xml Documents ◽  
Abstraction Layer ◽  
Search Tasks ◽  
New Information ◽  
The One ◽  
Topic Map ◽  
The Web

Everyday a huge number of new information resources are linked to the web. This way the web is growing very fast, making search tasks more and more difficult with worse results. To solve the problem several initiatives were undertaken and a new area of research and development emerged: the one called Semantic Web.When we refer to the semantic web we are thinking about a network of concepts. Each concept has a group of related resources and can be related to other concepts; we can then use this concept network to navigate among web resources or simply among information resources. From the undertaken initiatives one became an ISO standard: Topic Maps ISO 13250. The aim of this paper is to introduce a Topic Map (TM) Builder, that is a processor that extracts topics and relations from instances of a family of XML documents.A TM-Builder is strongly dependent on the resources structure. So, to extract a topic map for different collections of information resources (sets of documents with different structures) we have to implement several TM-Builders, one for each collection. This is not very easy! To overcome this inconvenient we have created an XML abstraction layer for TM-Builders that enables us to specify the topic map we want to build from a concrete family of resources, in order to generate automatically the intended extractor. To describe that process, i.e. the extraction of knowledge from XML documents to produce a TM, we present a language to specify topic maps for a class of XML documents, that we call XSTM (XML Specification for Topic Maps). We also discuss a XSL processor that automatically generates the Extractor from its formal specification written in XSTM, the XSTM-P.

Topic maps in near-real time

2009 ◽  
Author(s):  
Sam Hunting
Keyword(s):  
Open Source ◽  
Real Time ◽  
Management System ◽  
Content Management ◽  
Specific Information ◽  
Content Management System ◽  
Topic Maps ◽  
Information Sets ◽  
Topic Map

A new topic map module for the Drupal open-source content management system now supports the publication of collaboratively written topic maps in near-real time, using a plug-in architecture that can be extended to support specific information sets.

scholarly journals Browsing i bibliotekskataloger ved hjælp af Topic Maps

2007 ◽  
Vol 3 (2) ◽  
pp. 33-44
Author(s):  
Knut Anton Bøckman
Keyword(s):  
Topic Maps ◽  
Topic Map

Artiklen begrunder og beskriver opbygningen af et emnekort (topic map) på basis af et større humanistisk forskningsbiblioteks katalogposter. Formålet er tredelt – materialeintegration i søgefladen, udvidet browseadgang til gavn for en broget brugergruppe og semantisk støtte til emnevokabularet. Der beskrives, hvordan en ontologi opbygges og udvikles til en første prototype, som vurderes med henblik på den grundlæggende funktionalitet. Endelig vurderes, hvordan emnekort kan benyttes på mindre skala i bibliotekssammenhæng.

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