The Distributed Ontology Language (DOL): Use Cases, Syntax, and Extensibility

The Distributed Ontology Language (DOL) is currently being standardized within the OntoIOp (Ontology Integration and Interoperability) activity of ISO/TC 37/SC 3. It aims at providing a unified framework for (1) ontologies formalized in heterogeneous logics, (2) modular ontologies, (3) links between ontologies, and (4) annotation of ontologies. This paper presents the current state of DOL's standardization. It focuses on use cases where distributed ontologies enable interoperability and reusability. We demonstrate relevant features of the DOL syntax and semantics and explain how these integrate into existing knowledge engineering environments.Comment: Terminology and Knowledge Engineering Conference (TKE) 2012-06-20 to 2012-06-21 Madrid, Spai

Development of a Web-Based Geographical Information System for Interactive Visualization and Analysis of Container Itineraries

The paper describes an advanced prototype of a web-based geographical information system for user-friendly, interactive and efficient visualization of containers travelling over the world. The prototype uses ConTraffic Oracle Data Base (DB), where more than 300 000 container’s events are archived daily. The DB contains currently around one billion container movements. In addition, geographical data about the used locations/ports was collected and stored in the same DB on which the prototype is implemented. The prototype system provides users with container traffic information for specific date range, presented in interactive geographical and tabular mode. As a result, the prototype makes efficient visualization for easy visual analysis of container movements and status. The system used in this study gathers in quasi real-time online data from open sources, processes and stores it in DB. Using the proposed GIS application the user can access any time the DB and review on a map the itinerary of a specific container in specific date range, interact with the geographical presentation to receive specific details for the container for the used ports and review the itinerary details in interactive tabular presentation.JRC.G.4-Maritime affair

GeoLocSI – Web-Based GIS for Verification and Modification of Data Stored in Data Base

Currently there are thousand container events happening daily on more than 20 000 locations in the World. Some of these locations are big international ports and others are just little cities with not precise coordinates in the free available Data Bases (DB). Verification and validation these locations are at the same time a very important task and a challenging one. This paper describes the development of a web-based geographical information system for assisting in verifying and modifying geographical data in DB by interactive intuitive GIS technique. For the proper work of the system, first we collected geographical data for container ports from different open sources according to the known container ports’ names from our ConTraffic System. Then we stored it in a dataset in our DB and we created a map-based application which allows us to see not only the data in tabular view but also the geographical position of the ports over a map. Using this web-based application all the data can be modified quite easy, including the geographical coordinates. They can be modified directly by just typing the correct coordinates or by interactive way (drag the graphical object to the correct geographical position on the map).JRC.G.4-Maritime affair

Semantics-Aware Indexing of Geospatial Resources Based on Multilingual Thesauri: Methodology and Preliminary Results

the discovery functionality implemented by geoportals is primarily based on the syntactic matching of users’ search pattern against descriptive metadata, such as title, abstract, or keywords. As a consequence, the retrieval process is often hampered by linguistic issues related to multilingualism, semantic heterogeneity (synonymy, homonymy, etc.), and terminology mismatch in general. We propose a novel criterion for associating resources to language-neutral identifiers, thus enabling multilingual access to datasets and services as well as query expansion and refinement. The methodology has been successfully applied to the ISO-compliant metadata records aggregated by the INSPIRE Geoportal and is driving semantics-aware extensions of the discovery functionalities of the latter

Clustering Cities over Features Extracted from Multiple Virtual Sensors Measuring Micro-Level Activity Patterns Allows One to Discriminate Large-Scale City Characteristics

The impact of micro-level people’s activities on urban macro-level indicators is a complex question that has been the subject of much interest among researchers and policymakers. Transportation preferences, consumption habits, communication patterns and other individual-level activities can significantly impact large-scale urban characteristics, such as the potential for innovation generation of the city. Conversely, large-scale urban characteristics can also constrain and determine the activities of their inhabitants. Therefore, understanding the interdependence and mutual reinforcement between micro- and macro-level factors is critical to defining effective public policies. The increasing availability of digital data sources, such as social media and mobile phones, has opened up new opportunities for the quantitative study of this interdependency. This paper aims to detect meaningful city clusters on the basis of a detailed analysis of the spatiotemporal activity patterns for each city. The study is carried out on a worldwide city dataset of spatiotemporal activity patterns obtained from geotagged social media data. Clustering features are obtained from unsupervised topic analyses of activity patterns. Our study compares state-of-the-art clustering models, selecting the model achieving a 2.7% greater Silhouette Score than the next-best model. Three well-separated city clusters are identified. Additionally, the study of the distribution of the City Innovation Index over these three city clusters shows discrimination of low performing from high performing cities relative to innovation. Low performing cities are identified in one well-separated cluster. Therefore, it is possible to correlate micro-scale individual-level activities to large-scale urban characteristics.This work would not have been accomplished without the financial support of CONICYT-PFCHA/DOCTORADO BECAS CHILE/2019-21190345. The last author received research funds from the Basque Government as the head of the Grupo de Inteligencia Computacional, Universidad del Pais Vasco, UPV/EHU, from 2007 until 2025. The current code for the grant is IT1689-22. Additionally, the author participates in Elkartek projects KK-2022/00051 and KK-2021/00070. The Spanish MCIN has also granted the author a research project under code PID2020-116346GB-I00

A study on Analysis and Utilization of Crowd-sourced Spatio-temporal Contexts from Social Media

兵庫県立大学大学院201