Intelligent mapping of hyperspace

Ralha, Célia Ghedini; Ralha, José Carlos Loureiro

doi:10.1109/wi.2003.1241238

Cited by 5 publications

(3 citation statements)

References 11 publications

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“…The only restriction imposed by the RCC is that the relation C is reflexive and symmetric. For example, in [194] the RCC relations are used to dynamically structure information from distributed hypermedia systems such as the web. In this context, regions are represented as vectors of attributes describing information units (e.g., paragraphs in a document), and two regions are connected if the degree of similarity of the corresponding information units exceeds a given threshold.…”

Section: Spatial Relations 721 Crisp Spatial Relationsmentioning

confidence: 99%

Reasoning About Fuzzy Temporal and Spatial Information from the Web

Schockaert

Cock

Kerre

2010

Intelligent Information Systems

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Section: Spatial Relations 721 Crisp Spatial Relationsmentioning

confidence: 99%

Reasoning About Fuzzy Temporal and Spatial Information from the Web

Schockaert

Cock

Kerre

2010

Intelligent Information Systems

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“…A developing application area is that of`maps' and other`navigational aids' for users of distributed information sources such as the`World Wide Web' (Ralha and Cohn 1995). Collections of documents in such information sources have a hierarchical structure (so one collection can be regarded as a`PP' of another), and documents have`pointers' to other documents; two documents or document-collections linked by such pointers but not overlapping could be regarded as`EC' to each other.…”

Section: Applications and Conclusionmentioning

confidence: 99%

A Connection Based Approach to Common-sense Topological Description and Reasoning

Gotts

Gooday²,

Cohn

1996

Monist

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The standard mathematical approaches to topology, point-set topology and algebraic topology, treat points as the fundamental, unde ned entities, and construct extended spaces as sets of points with additional structure imposed on them. Point-set topology in particular generalises the concept of a`space' far beyond its intuitive meaning. Even algebraic topology, which concentrates on spaces built out of`cells' topologically equivalent to n-dimensional discs, concerns itself chie y with rather abstract reasoning concerning the association of algebraic structures with particular spaces, rather than the kind of topological reasoning which is required in everyday life, or which might illuminate the metaphorical use of topological concepts such as`connection' and`boundary'. This paper explores an alternative to these approaches, RCC theory, which takes extended spaces (`regions') rather than points as fundamental. A single relation, C (x; y) (read`Region x connects with region y') is axiomatised as the basis of the topological part of RCC theory. RCC theory has deep roots in the philosophical logic literature: advocacy of region-based rather than point-based spatial and temporal representation has links with a broader opposition to the view that set theory and predicate logic together provide an adequate basis for the formal representation of the world. The implications of adopting a region-based approach to topology such as RCC theory are discussed. RCC theory and conventional topology are compared as approaches to what might be called`commonsense' or`everyday' topology: the topological properties and relations of entities which can be embedded in a Euclidean space of three or fewer dimensions. The paper also covers the idea of`conceptual neighbourhoods', and their usefulness in reasoning about changes in spatial relations. Finally, some limitations, and possible applications, of RCC are discussed.

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“…In order to keep terminology compatibility with previous work ( [12]), from now on we will refer to x using the word probe and to y using the word frame.…”

Section: The Framework In a Nutshellmentioning

confidence: 99%

Intelligent Web Information Mapping with HyperMap

Ralha

Costa

et al.

The 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05)

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This paper addresses some particular issues related to the difficult task of automatic mapping of Web information to help the user to find interesting and unexpected information on the Web. The approach puts together qualitative and quantitative reasoning. The qualitative reasoning is done through a spatial mereotopological calculus since we metaphorically see Web sites as space regions. As a result, documents/sites are grouped together into classes according to the spatial relation they satisfy. Quantitative reasoning is done through Information Retrieval techniques allowing users to choose a document based on a similarity measure between documents/sites. Experiments have been undertaken in two directions: to find an intuitive model to display the Web map through the development of a system called HyperMap and to discover interesting and unexpected information from the spatial Web maps metaphor.

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Intelligent mapping of hyperspace

Cited by 5 publications

References 11 publications

Reasoning About Fuzzy Temporal and Spatial Information from the Web

Reasoning About Fuzzy Temporal and Spatial Information from the Web

A Connection Based Approach to Common-sense Topological Description and Reasoning

Intelligent Web Information Mapping with HyperMap

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