Intelligent indexing of crime scene photographs

The Scene of Crime Information System's automatic image-indexing prototype goes beyond extracting keywords and syntactic relations from captions. The semantic information it gathers gives investigators an intuitive, accurate way to search a database of cases for specific photographic evidence. Intelligent, automatic indexing and retrieval of crime scene photographs is one of the main functions of SOCIS, our research prototype developed within the Scene of Crime Information System project. The prototype, now in its final development and evaluation phase, applies advanced natural language processing techniques to text-based image indexing and retrieval to tackle crime investigation needs effectively and efficiently

FIT for purpose – the new FLARE Index to Treaties

The FLARE Index to Treaties which was launched in March 2009 on the Institute of Advanced Legal Studies web server, was conceived to fill a gap in the range of information finding tools available on the internet for the international lawyer. It is a fully searchable database indexing and listing over 1,500 of the most significant multilateral treaties concluded from 1856 onwards. This article describes the background to the development, the various ways in which the service can be used and technical issues in its construction and use.Preprint of an article by Dr Peter Clinch, Senior Subject Librarian for Law, Cardiff University, Wales, UK and Steven Whittle, Information Systems Manager, Institute of Advanced Legal Studies, University of London published online by LLRX.co

A Analysis of Different Type of Advance database System For Data Mining Based on Basic Factor

Normal databases are unable to handling such as large range and large amount of data. Then we need database to support creating, storage, indexing and retrieval of large and wide variety of data for mining. This research paper presents different ways of data mining for advance data as multimedia, spatial, Time-series and heterogeneous data and management of database is given to help to creating, storing, indexing and retrieval. This includes advanced data structures and use of metadata to store advance data like multimedia, spatial, Time-series and heterogeneous database. This research paper claim the database management systems should be extended to arrange new type of data and enable to search based on their contents. Media, Geometry, Time, Calendar objects and all type objects are modeled as attributes of abstract data types. This paper will be describe multimedia, spatial, time series and heterogeneous database as a point of data mining methods, database management technique, data type and application for advance database. DOI: 10.17762/ijritcc2321-8169.15020

Searchable Sky Coverage of Astronomical Observations: Footprints and Exposures

Sky coverage is one of the most important pieces of information about astronomical observations. We discuss possible representations, and present algorithms to create and manipulate shapes consisting of generalized spherical polygons with arbitrary complexity and size on the celestial sphere. This shape specification integrates well with our Hierarchical Triangular Mesh indexing toolbox, whose performance and capabilities are enhanced by the advanced features presented here. Our portable implementation of the relevant spherical geometry routines comes with wrapper functions for database queries, which are currently being used within several scientific catalog archives including the Sloan Digital Sky Survey, the Galaxy Evolution Explorer and the Hubble Legacy Archive projects as well as the Footprint Service of the Virtual Observatory.Comment: 11 pages, 7 figures, submitted to PAS

The Christian Reformed Church Periodical Index: A Local Solution to Indexing Periodicals

This article describes the creation of a web-based database that indexes less well-known periodical titles of importance to scholars in the Christian Reformed Church, and generally not covered by other indexing services. The author explains how the data from the index, originally stored in a card catalog, was moved online to a text-based system, and eventually into its present form in a web-based system. Highlighting some of the challenges that were overcome in creating this resource, brief details are provided on how the data is stored and retrieved in the web environment, on how the data are searched and presented to the researcher, and on the methods used to keep the database current

Apellicon: a web-based tool for constructing and curating Textpresso databases.

As more research literature in the biological sciences is made available in electronic format, text mining systems are increasingly being used to improve the ability of investigators to retrieve relevant information. Through the use of advanced indexing techniques that utilize biological ontologies, semantic databases, and other formal representations of biological concepts text mining systems have been able to effectively parse biological literature. While text mining systems are increasingly effective at creating the linkages required to provide context-specific search results, the systems themselves are difficult to set up and use by novice computer users due to the highly technical nature of the applications. Because most researchers in the biological sciences do not have a strong computer science background we have focused on improving the quality of existing, proven text mining systems by implementing a web-based GUI that greatly improves the workflow of these systems. Textpresso in particular has an excellent web-based interface for searching literature but does not have an easy to use administrative interface. We developed the Apellicon interface to enable a wide range of users to build and manage a Textpresso database. An important feature of Apellicon is that it can enable groups to collaborate in building a Textpresso database

Advanced content-based semantic scene analysis and information retrieval: the SCHEMA project

The aim of the SCHEMA Network of Excellence is to bring together a critical mass of universities, research centers, industrial partners and end users, in order to design a reference system for content-based semantic scene analysis, interpretation and understanding. Relevant research areas include: content-based multimedia analysis and automatic annotation of semantic multimedia content, combined textual and multimedia information retrieval, semantic -web, MPEG-7 and MPEG-21 standards, user interfaces and human factors. In this paper, recent advances in content-based analysis, indexing and retrieval of digital media within the SCHEMA Network are presented. These advances will be integrated in the SCHEMA module-based, expandable reference system

The emergence of competitors to the Science Citation Index and the Web of Science

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