Taxonomy of Infromation science

Information science (IS) is multidiscipline as remarked in the literature; many studies have investigated to identify this science. (IS) has a fundamental root of its theory which is emerged from other sciences such as: Library Science, Computer Science and Archival Science.

Otherwise, (IS) is a science as any sciences. If we deliberate the definition of the word science itself or the word science comes from or what is the natural of science. As defined in Webster's dictionary that knowledge can be obtained through doing study or practice Webster dictionary (2010). Then, from this definition the aim of science is acquiring knowledge according to specific methods and techniques applied scientists. Which controlled by the law regulations and ethics. However, we interpret this view to high level of the ontology of (IS). Moreover, operations and the outcome of them are based on the studies and theories. Also, applying specific methods and techniques processed by actors.

The (IS) classification basically, builds on a faceted analytic-synthetic system (FAS). A number of studies have shown that there are many different approaches to create facet classification schemes. As Ranganthan' Colon Classification (Ranganathan, 1962). Ranganathan's contribution was got through in facet analysis; his approach was creation five categories, namely: Personality, Matter, Energy, Space and time. Called PMEST. These categories as analytic synthetic analysis drive from two main processes namely:

So, Any domain concept could be organised into these five categories. These categories are very limited for some domains. Yet in BC2 classification has extended these into 13 thirteen categories:

Things, Kind, Part, Property, Material, Process, Operation, Agent, Patient, Product, by Space and Time.

Broughton,2001 point out that five categories could be extended as much as the subject requirements and needs.

"..... fundamental thirteen categories have been found to be sufficient for the analysis of vocabulary in almost all areas on knowledge. It is however quite likely that other general categories exist; it is certainly the case that there are some domain specific categories, such as those of form and genre in the field of literature"(Broughton, 2001)79-80p.

His suggestions had catalyzed to create facet classification that is needed. Also, Vickery's soil classification 1960, has 18 eighteen categories, Broadly, there are many attempts of developing classification schemes after the ( FAS) is became more popular in the www for information retrieval, such as: (Petersen, 1994), he created a small facet classification for Art and Architecture Thesaurus (AAT) for Getty research institution, as followed:

Based on above, we analysis (IS) domain into (14 ) categories. These categories are as followed:

Actors, Method, practice, Studies, Mediate, Kinds, Domains, Resources, Tools, Legislation, Philosophy & theories, Societal, Time, space.

For example, if there an article on history of (IS) would be classified under the history facet of (IS)subject, also, a book about theory of communication would be classified under theories of IS facet.

Why Information Science (IS) Taxonomy:

Taxonomy of Information science is providing a control vocabulary and hierarchical arrangement of (IS) knowledge for browsing, searching and indexing material on IS subject. Likewise, to be used as sharing terminology in area to improve exchanging information between professional and organization in the field of IS. Taxonomy of (IS) allows building a complex topic based search string algorithms to find words where one or many strings or patterns are found within a text. (IS )taxonomy is developed to covers a broad range of (IS )issues and created to improve and enabling browsing for research results as database that amplify in size.

The Taxonomy of Information Science(IS) is based on a solid theoretical and philosophical foundation.

Workflow of building ontology of Information Science is composed from creating taxonomy. Our approach of building ontology of Information Science is based on combined method which is top-down and bottom -up methods. The high level of the ontology is based on assumption or it could be postulated. We reinitialise (28) classification schemas (Zins, 2007)

To provide you feedback click on the link to review the Taxonomy scheme IS Taxonomy Evaluation