HHypermap

HHypermap provides a spatio-temporal registry and search platform for harvesting, indexing, and querying web map services to support discovery and reliability assessment of spatial data within Spatial Data Infrastructures.

Key Features:

• Comprehensive registry of web map services: Harvests metadata from distributed servers using OGC and Esri service standards to build and maintain a registry of web map services.
• Lucene-based advanced search: Indexes metadata in a Lucene search engine and supports full-text search, natural language processing, weighted results, fuzzy tolerance, faceting including spatial and temporal faceting, and hit highlighting.
• Recommendations and feedback: Generates recommendations and feedback mechanisms based on log mining of usage and access logs.
• Service reliability monitoring: Continuously monitors service uptime and reliability and incorporates reliability information into search ranking.
• Programmatic API: Exposes search and registry functions via an open API for client integration and automated queries.
• CSW catalogue exposure: Provides an internal CSW (Catalogue Service for the Web) catalogue interface for metadata discovery, query, and management.

Scientific Applications:

• Geography: Enables discovery and retrieval of geospatial map services used for geographic analysis and mapping.
• Environmental science: Facilitates access to spatial datasets and map services for environmental monitoring and analysis.
• Urban planning: Supports retrieval of temporal and spatial map services relevant to urban analysis and planning.
• Spatial data discovery for multidisciplinary research: Provides searchable access to web map services for disciplines requiring robust spatial data analysis.

Methodology:

Scalable harvesting of service metadata from distributed servers using OGC and Esri standards, organization and indexing of metadata in a Lucene-based search engine, continuous monitoring of service uptime and reliability, and log-mining for feedback and recommendations.