Taxonomy statistics Clause Samples

Taxonomy statistics. The following table (Table 1) shows some statistics for each taxonomy: • The number of items that are mapped into the taxonomy. • The average number of parents for each item. • The average depth from the root node to an item. • The number of top level nodes in the taxonomy. LCSH 99,259 1.8 1.97 28,901 DBpedia 178,312 4.2 2 30 Wiki taxonomy 275,379 11.7 1.13 10417 WN domains 308,687 7.1 7.1 6 LDA topics 545,896 1 7.3 9 Wiki freq 66,558 1 3.39 24 A problem with some of the manual taxonomies is the very high number of top level nodes, which makes it difficult for users to browse. However there is no obvious way to select suitable top level nodes in these taxonomies. Additionally some of the taxonomies assign items to many parent nodes - this means that the data is repeated across the taxonomy. This is not a problem in itself, but is likely to mean that items may often be assigned to incorrect nodes. Section 8.1 includes the evaluation of each taxonomy. The work described so far is the first attempt to automatically link Europeana items to a variety of vocabularies, which are both manually and automatically built. We have also conducted an evaluation in order to assess the quality of the vocabulary relations and mappings between those and the Europeana items. In the future, we plan to expand the evaluations to include user studies. A key question is how well these taxonomies assist users when used for browsing large collections, such as Europeana. The aim is to see if there is a correlation between the intrinsic results that were found here with the extrinsic quality judgements when used in real life applications. A promising line of work will be to build on the WikiFreq approach by integrating with the high quality Wikipedia taxonomy knowledge base. The hope is that using this approach will generate highly cohesive units along with a well structured conceptual tree. After this user evaluation, we will fix a target vocabulary and we will provide the proper mappings to the Europeana items and we will integrate this information in the second prototype.

Related to Taxonomy statistics

  • Statistics The Parties shall endeavour to promote, in accordance with existing statistical cooperation activities between the Union and ASEAN, the harmonisation of statistical methods and practices including the gathering and dissemination of statistics, thus enabling them to use, on a mutually acceptable basis, statistics on trade in goods and services, foreign direct investment and, more generally, on any other area covered by this Agreement which lends itself to statistical data collection, processing, analysis and dissemination.

  • Usage Statistics The Distributor shall ensure that the Publisher will provide access to both composite system-wide use data and itemized data for the Licensee, the Participating Institutions, individual campuses and labs, on a monthly basis. The statistics shall meet or exceed the most recent project Counting Online Usage of NeTworked Electronic Resources ("COUNTER") Code of Practice Release,3 including but not limited to its provisions on customer confidentiality. When a release of a new COUNTER Code of Practice is issued, the Distributor shall ensure that the Publisher will comply with the implementation time frame specified by COUNTER to provide usage statistics in the new standard format. It is more than desirable that the Standardized Usage Statistics Harvesting Initiative (SUSHI) Protocol4 is available for the Licensee to harvest the statistics.

  • Statistical Data The statistical, industry-related and market-related data included in the Registration Statement, the Sale Preliminary Prospectus, and/or the Prospectus are based on or derived from sources that the Company reasonably and in good faith believes are reliable and accurate, and such data materially agree with the sources from which they are derived.

  • Statistical Information Any third-party statistical and market-related data included in the Registration Statement, the Time of Sale Disclosure Package and the Prospectus are based on or derived from sources that the Company believes to be reliable and accurate in all material respects.

  • Statistical, Demographic or Market-Related Data All statistical, demographic or market-related data included in the Registration Statement, the Disclosure Package or the Prospectus are based on or derived from sources that the Company believes to be reliable and accurate and all such data included in the Registration Statement, the Disclosure Package or the Prospectus accurately reflects the materials upon which it is based or from which it was derived.