Why the semantic web won’t scale cathy marshall microsoft corporation.

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Presentation transcript:

why the semantic web won’t scale cathy marshall microsoft corporation

the scaled semantic web seen as mass-market product “the Flowbee uses the suction power of your household vacuum to draw the hair up to the desired length, and then gives it a perfect cut.....every time.” Three important questions: Will it really work? Who needs it? Is it safe?

will it work? evaluating the semantic web as metadata compare the semantic web to a widely adopted metadata scheme like the MARC record used for library cataloging –MARC practitioners are members of a community and are trained to create metadata –MARC reduces interpretive load by careful choice of attributes, authority lists, & cataloging rules (AACR, e.g.) to constrain values –MARC records are controlled for interoperability and consistency in various ways (e.g. by clearinghouses like OCLC) –so... on-line catalog (OPAC) users know what to expect

by contrast, the semantic web is subject to the following pitfalls as it scales: –social structures for creating universal semantic web metadata are missing (local culture/practices/needs prevail) –semantic web metadata requires substantial interpretation of domain knowledge; underlying assumptions about use are highly situated –no way of ensuring interoperability, consistency, accuracy e.g. EVLIS PRESLEY memorabilia on eBay e.g. HTML visual mark-up –so... semantic web users are guaranteed to be surprised will it work? evaluating the semantic web as metadata a beehive is a hairstyle. Or is it?

who needs it? the semantic web is expensive metadata is expensive –often professional metadata creators have to choose among standards e.g. OAI v. Semantic Web –cost may not be borne by the parties who benefit from the semantic web e.g., retailers with on-line catalogs a Google-like approach works well enough much of the time –social evaluation through links –the human reformulates and supplies the missing bits (see Marcia Bates’ “berry- picking” interpretation of IR) –highly robust –demonstrated scalability canonical mohawk from google image search; better than telling my intelligent agent “find me pictures for my talk”

finally: is it safe? the semantic web raises trust issues how will porn sites and creative spammers use the semantic web? –e.g. "Re: The information you requested” –e.g. “V.i.a.ggg.r.a” –e.g. clever phishing techniques –e.g. phony metadata how can mildly deceptive semantic web schemes get the best of people in a commercial situation? –e.g. shipping and handling costs unsafe Flowbee use: the mullet