Results 1 - 10
of
115
C: The ChEBI reference database and ontology for biologically relevant chemistry: enhancements for 2013. Nucleic Acids Res 2013, 41(Database issue):456–463
"... ChEBI ..."
(Show Context)
Qualitative Spatial Representation and Reasoning
- An Overview”, Fundamenta Informaticae
, 2001
"... The need for spatial representations and spatial reasoning is ubiquitous in AI – from robot planning and navigation, to interpreting visual inputs, to understanding natural language – in all these cases the need to represent and reason about spatial aspects of the world is of key importance. Related ..."
Abstract
-
Cited by 71 (10 self)
- Add to MetaCart
(Show Context)
The need for spatial representations and spatial reasoning is ubiquitous in AI – from robot planning and navigation, to interpreting visual inputs, to understanding natural language – in all these cases the need to represent and reason about spatial aspects of the world is of key importance. Related fields of research, such as geographic information science
Event-oriented approaches to geographic phenomena
- International Journal of Geographical Information Science
, 2005
"... This paper is about the information-theoretic foundations upon which useful explanatory and predictive models of dynamic geographic phenomena can be based. It traces the development over the last decade or so of these foundations, from sequences of temporal snapshots, through object life histories, ..."
Abstract
-
Cited by 57 (8 self)
- Add to MetaCart
(Show Context)
This paper is about the information-theoretic foundations upon which useful explanatory and predictive models of dynamic geographic phenomena can be based. It traces the development over the last decade or so of these foundations, from sequences of temporal snapshots, through object life histories, to event chronicles. A crucial ontological distinction is drawn between “things ” and “happenings”, that is between continuant and occurrent entities. Most of the work up to now has focused on representing the evolution through time of geographic things, whether objects or fields. This paper argues that happenings should be upgraded to an equal status with things in dynamic geographic representations, and suggests ways of doing this. The main research focus of the paper is the application of an algebraic approach, previously developed mainly in the context of computational processes, to real-world happenings. It develops a pure process theory of space and time, and demonstrates its applicability by providing an example of the representation of motion of a vehicle through a region. The paper concludes by noting some of the requirements for scaling this approach to real-world dynamic scenarios, such as might be found, for example, in the automation of coordination of disaster relief.
Monitoring Dynamic Spatial Fields Using Responsive Geosensor Networks
- In GIS
, 2005
"... Information about dynamic spatial fields, such as temper-ature, windspeed, or the concentration of gas pollutant in the air, is important for many environmental applications. At the same time, the development of geosensor networks (wirelessly communicating, sensor-enabled, small computing devices di ..."
Abstract
-
Cited by 26 (14 self)
- Add to MetaCart
(Show Context)
Information about dynamic spatial fields, such as temper-ature, windspeed, or the concentration of gas pollutant in the air, is important for many environmental applications. At the same time, the development of geosensor networks (wirelessly communicating, sensor-enabled, small computing devices distributed throughout a geographic environment) present new opportunities for monitoring dynamic spatial fields in much greater detail than ever before. This pa-per develops a new model for querying information about dynamic spatial fields using geosensor networks. In order to manage the inherent complexity of dynamic geographic phenomena, our approach is to focus on the qualitative rep-resentation of spatial entities, like regions, boundaries, and holes, and of events, like splitting, merging, appearance, and disappearance. Based on combinatorial maps, we present a qualitative model as the underlying data management paradigm for geosensor networks. This model is capable of tracking salient changes in the network in an energy-efficient way. Further, our model enables reconfiguration of the geosensor network in response to changes in the en-vironment. We present an algorithm capable of adapting sensor network granularity according to dynamic monitor-ing requirements. Regions of high variability can trigger increases in the geosensor network granularity, leading to more detailed information about the dynamic field. Con-versely, regions of stability can trigger a coarsening of the sensor network, leading to efficiency increases in particular with respect to power consumption and longevity of the sen-sor nodes. Querying of this responsive geosensor network is also considered, and the paper concludes with a review of future research directions. 1.
Analyzing Theme, Space and Time: an Ontologybased Approach
- in 14th ACM Int’l Symposium on Geographic Information Systems. 2006
"... The W3C’s Semantic Web Activity is illustrating the use of semantics for information integration, search, and analysis. However, the majority of the work in this community has focused more on the thematic aspects of information and has paid less attention to its spatial and temporal dimensions. In t ..."
Abstract
-
Cited by 20 (5 self)
- Add to MetaCart
(Show Context)
The W3C’s Semantic Web Activity is illustrating the use of semantics for information integration, search, and analysis. However, the majority of the work in this community has focused more on the thematic aspects of information and has paid less attention to its spatial and temporal dimensions. In this paper, we present an integrative ontology-based framework incorporating the thematic, spatial, and temporal dimensions of information. This framework is built around the RDF metadata model. Our ultimate goal is to provide an information system which allows searching and analysis of relationships in any or all of the three dimensions of space, time, and theme. Toward this end, we present an upper-level ontology combining concepts and relationships from both the thematic and spatial dimensions and show how to incorporate temporal semantics into this ontology. We also introduce the notion of a thematic context linking entities of differing dimensions and define a set of query operators built upon these contexts.
An Ontological Analysis of Observations and Measurements
- In: Proc. of the 4th. International Conference on Geographic Information Science (GIScience 2004
, 2006
"... Abstract. Geographic information is based on observations or measurements. The Open Geospatial Consortium (OGC) has developed an implementation specification for observations and measurements (O&M). It specifies precisely how to encode information. Yet, the O&M conceptual model does not spec ..."
Abstract
-
Cited by 20 (0 self)
- Add to MetaCart
(Show Context)
Abstract. Geographic information is based on observations or measurements. The Open Geospatial Consortium (OGC) has developed an implementation specification for observations and measurements (O&M). It specifies precisely how to encode information. Yet, the O&M conceptual model does not specify precisely which real-world entities are denoted by the specified information objects. We provide formal semantics for the central O&M terms by aligning them to the foundational ontology DOLCE. The alignment to a foundational ontology restricts the possible interpretations of the central elements in the O&M model and establishes explicit relations between categories of real world entities and classes of information objects. These relations are essential for assessing semantic interoperability between geospatial information sources.
A Framework to Support Spatial, Temporal, and Thematic Analytics over Semantic Web Data, Knoesis Center
, 2008
"... Spatial and temporal data are critical components in many applications. This is especially true in analytical applications ranging from scientific discovery to national security and criminal investigation. The analytical process often requires uncovering and analyzing complex thematic relationships ..."
Abstract
-
Cited by 19 (1 self)
- Add to MetaCart
Spatial and temporal data are critical components in many applications. This is especially true in analytical applications ranging from scientific discovery to national security and criminal investigation. The analytical process often requires uncovering and analyzing complex thematic relationships between disparate people, places and events. Fundamentally new query operators based on the graph structure of Semantic Web data models, such as semantic associations, are proving useful for this purpose. However, these analysis mechanisms are primarily intended for thematic relationships. In this paper, we describe a framework built around the RDF data model for analysis of thematic, spatial and temporal relationships between named entities. We present a spatiotemporal modeling approach that uses an upper-level ontology in combination with temporal RDF graphs. A set of query operators that use graph patterns to specify a form of context are formally defined. We also describe an efficient implementation of the framework in Oracle DBMS and demonstrate the scalability of our approach with a performance study using both synthetic and real-world RDF datasets of over 25 million triples.
The EXACT description of biomedical protocols
- BIOTECHNO 2011 : The Third International Conference on Bioinformatics, Biocomputational Systems and Biotechnologies Copyright (c) IARIA, 2011. ISBN
"... Motivation: Many published manuscripts contain experiment protocols which are poorly described or deficient in information. This means that the published results are very hard or impossible to repeat. This problem is being made worse by the increasing complexity of high-throughput/automated methods. ..."
Abstract
-
Cited by 12 (4 self)
- Add to MetaCart
(Show Context)
Motivation: Many published manuscripts contain experiment protocols which are poorly described or deficient in information. This means that the published results are very hard or impossible to repeat. This problem is being made worse by the increasing complexity of high-throughput/automated methods. There is therefore a growing need to represent experiment protocols in an efficient and unambiguous way. Results: We have developed the Experiment ACTions (EXACT) ontology as the basis of a method of representing biological laboratory protocols. We provide example protocols that have been formalized using EXACT, and demonstrate the advantages and opportunities created by using this formalization. We argue that the use of EXACT will result in the publication of protocols with increased clarity and usefulness to the scientific community. Availability: The ontology, examples and code can be downloaded from
SOWL: Spatio-temporal Representation, Reasoning and Querying over the
- Semantic Web” 6th International Conference on Semantic Systems
, 2010
"... Representing dynamic information in the form of ontologies, as well as querying and reasoning over static and dynamic ontologies are the areas of interest in this work. Building upon well established standards of the semantic Web and the 4D-fluents approach for representing the evolution of temporal ..."
Abstract
-
Cited by 11 (3 self)
- Add to MetaCart
(Show Context)
Representing dynamic information in the form of ontologies, as well as querying and reasoning over static and dynamic ontologies are the areas of interest in this work. Building upon well established standards of the semantic Web and the 4D-fluents approach for representing the evolution of temporal information in ontologies, SOWL illustrates how spatial and spatio-temporal information and evolution in space and time can be efficiently represented in OWL. It also demonstrates how qualitative temporal and spatial relations that are common in natural language expressions (i.e., rela-tions between time intervals like “before”, “after”, etc.) are represented in the ontology. Existing approaches allow for representations of only static, spatial or temporal informa-tion, but do not support combinations on the nature of in-formation or representation of qualitative relations. Part of the proposed representation model is the SOWL (high-level) query language, which does not require users to be familiar with peculiarities of the underlying ontology representation (which can be complex) and handles ontologies similar to relational databases. A distinct feature of SOWL is the in-corporation spatio-temporal reasoning in SOWL, which is capable of inferring spatio-temporal information from rep-resentations in the underlying ontology model. 1.
Processes and events in dynamic geo-networks
, 2005
"... Abstract. Traditional spatial information systems hold only a single state of the ‘real world’. However, geographic phenomena have not only static but dynamic characteristics. The work described in this paper contributes to the general research effort toward a generic ontology of dynamic geographic- ..."
Abstract
-
Cited by 10 (1 self)
- Add to MetaCart
(Show Context)
Abstract. Traditional spatial information systems hold only a single state of the ‘real world’. However, geographic phenomena have not only static but dynamic characteristics. The work described in this paper contributes to the general research effort toward a generic ontology of dynamic geographic-scale phenomena and its application to the provi-sion of modeling, analysis, and retrieval of data in a spatio-temporal GIS. These issues are addressed in this paper with reference to dynamic geo-networks, that is, networks embedded in a (2-dimensional) geographic space. After an introductory and motivational section, the basic onto-logical categories of events and states are discussed. The paper develops these ideas in the context of flows in dynamic geo-networks, and goes on to discuss the possible kinds of causal relations. The paper concludes with an overview of the results and pointers to further research directions. 1
