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Articles>Information Design>Semantic

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1.
#25853

Can Many Agents Answer Questions Better than One?   (peer-reviewed)

The paper addresses the issue of how online natural language question answering, based on deep semantic analysis, may compete with currently popular keyword search, open domain information retrieval systems, covering a horizontal domain. We suggest the multiagent question answering approach, where each domain is represented by an agent which tries to answer questions taking into account its specific knowledge. The meta–agent controls the cooperation between question answering agents and chooses the most relevant answer(s). We argue that multiagent question answering is optimal in terms of access to business and financial knowledge, flexibility in query phrasing, and efficiency and usability of advice. The knowledge and advice encoded in the system are initially prepared by domain experts. We analyze the commercial application of multiagent question answering and the robustness of the meta–agent. The paper suggests that a multiagent architecture is optimal when a real world question answering domain combines a number of vertical ones to form a horizontal domain.

Galitsky, Boris and Rajesh Pampapathi. First Monday (2005). Articles>Language>Information Design>Semantic

2.
#29250

Dynamic Hypertext: Querying and Linking   (peer-reviewed)

There are many models of hypertext, distinguished by a number of factors such as the underlying semantic data model (link typing and node typing), the degree of dynamic linking in the hypertext, and how dynamism and other behaviours are implemented. This essay examines a particular approach to dynamism in hypertext, based on the degree of similarity between a text passage in a source node and the text of a target node. It reviews work carried out over the past decade in creating systems for markup-based querying and dynamic hypertext, with particular emphasis on a model of dynamic hypertext that computes hypertext links on the fly using queries.

Bodner, Richard and Mark Chignell. ACM Computing Surveys (1999). Articles>Information Design>Hypertext>Semantic

3.
#27913

I Know What You Mean!    (members only)

According to experts, the Semantic Web, an enhancement of the conventional web, is paving the way for new functionalities in future, web-based applications. The possible scenarios that we could face are reminiscent of fiction and cinema, where you just need to think of the question for which we are seeking answers. An invisible assistant would then perform the search.

Sieber, Tanja and Bartz, Wolfgang. tekom (2006). Articles>Web Design>Information Design>Semantic

4.
#25664

An Information Retrieval Using Conceptual Index Term For Technical Paper on Digital Library

This paper presents a method for semantic Information Retrieval(IR) which is implemented on Digital Library. It is well known that Digital Library should have the IR system that user may automatically access every kind of media from anywhere. However, no improvement is made for the retrieval errors based on individual differences of user's request. This is one of the significant problem for the searching efficiency of IR. Our approach does not use the request itself but the concepts. This makes it possible to retrieve semantic information not merely to compare with the word strings of the request.

Horii, Chinatsu, Masakazu Imai and Kunihiro Chihara. ISRDP in Digital Libraries (1997). Articles>Information Design>Semantic>Search

5.
#21599

Semantic Web Hacking

This is a general collection of my Semantic Web hackings, often using CWM and the Notation3 (N3) format.

Palmer, Sean B. InfoMesh (2001). Articles>Information Design>Metadata>Semantic

6.
#21001

The Semantic Web In Breadth

This piece speaks about the different parts of the Semantic Web and how they fit together.

Swartz, Aaron. LogicError (2003). Articles>Information Design>Metadata>Semantic

7.
#21002

The Semantic Web: An Introduction

This document is designed as being a simple but comprehensive introductory publication for anybody trying to get into the Semantic Web: from beginners through to long time hackers. Recommended pre-reading: the Semantic Web in Breadth.

Palmer, Sean B. InfoMesh (2001). Articles>Information Design>Metadata>Semantic

8.
#29977

Semantic, Structured Authoring

This article looks at the impact of the introduction of semantic markup and structured authoring on the world of technical writers, editors, Help authors and content developers. This article is not specifically about the Semantic Web movement itself, but about the implementation of semantic concepts in the documentation field.

Self, Tony. HyperWrite (2006). Articles>Information Design>Semantic>Technical Writing

9.
#27914

Standards-Based Publishing with XML, XSLT, XHTML and XSL-FO   (members only)

XML, the Extensible Markup Language recommendation by the W3C, separates content from processing. When you author XML, you describe your information semantically using a computer readable and human readable syntax. The syntax of XML is elements and attributes. We call this semantic markup.

Arbury, Autumn. tekom (2005). Articles>Information Design>XML>Semantic

10.
#33449

Information Architecture is Not Usability

The distinction between information architecture and usability may seem like semantics, but there are significant differences between the two disciplines. Though they are often discussed interchangeably, and practitioners are often well-versed in both, information architecture and usability differ in their scope and areas of focus.

Lash, Jeff. Digital Web Magazine (2002). Articles>Information Design>Usability>Semantic

11.
#33627

The Semantic Web, Syllogism, and Worldview

The W3C's Semantic Web project has been described in many ways over the last few years: an extension of the current web in which information is given well-defined meaning, a place where machines can analyze all the data on the Web, even a Web in which machine reasoning will be ubiquitous and devastatingly powerful. The problem with descriptions this general, however, is that they don't answer the obvious question: What is the Semantic Web good for? The simple answer is this: The Semantic Web is a machine for creating syllogisms.

Shirky, Clay. Shirky.com (2003). Articles>Web Design>Information Design>Semantic

12.
#33820

Syntax, Semantics and Standards: Model for a National Health Information Network

This presentation will describe the National Health Information Network activity and role of syntax and semantics in building an interoperable framework for healthcare information on a national level.

Alschuler, Liora. IDEAlliance (2005). Articles>Information Design>Standards>Semantic

13.
#34184

Building and Managing Personalized Semantic Portals   (PDF)

This paper presents a semantic portal, SEMPort, which provides better user support with personalized views, semantic navigation, ontology-based search and three different kinds of semantic hyperlinks. Distributed content editing and provision is supplied for the maintenance of the contents in real-time. As a case study, SEMPort is tested on the Course Modules Web Page (CMWP) of the School of Electronics and Computer Science (ECS).

Şah, M. and W. Hall. WWW 2007 (2007). Articles>Information Design>Web Design>Semantic

14.
#34691

Everything You Wanted to Know About Semantic Technology, But Were Afraid to Ask

Semantic technology can be as heavy and stifling for any audience as stem-cell research can be to high-school students. But Carla Thompson of Guidewire did a terrific job of coming up with discussion topics and moderating the panel. Everyone survived the ordeal without any sign of dozing.

ReadWriteWeb (2009). Articles>Information Design>Semantic

15.
#35107

Top Five Web Trends of 2009: Structured Data

The first major Web trend we're looking at is Structured Data. In prior presentations, this has sometimes been referred to under the umbrella term of 'Semantic Web'. However the way 2009 has panned out so far, it's become clear that this trend is much more than the Semantic Web. In this post, we'll analyze the developments in Structured Data this year and provide you with 3 product examples: OpenCalais, Google, and Wolfram Alpha.

MacManus, Richard. ReadWriteWeb (2009). Articles>Web Design>Information Design>Semantic

16.
#35411

XBRL, Semantic Web Technologies Complement Each Other

At the recent workshop co-organized by W3C and XBRL International on improving access to financial data on the web, a few key issues related to the semantic web took center stage. The goal of the workshop was to identify opportunities and challenges for interactive access to financial data expressed in XBRL and related languages, and the broader opportunities for semantic technologies.

Zaino, Jennifer. Semantic Web (2009). Articles>Information Design>Semantic>XBRL

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